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Joe Biden
Transcripts White House Calendar White House Press Releases

S. Hrg. 108-344 - Terrorism: First Responders

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Entities
Moderation
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Speakers
Full Transcript

Jon Kyl

OPENING STATEMENT OF HON. JON KYL A U.S. SENATOR FROM THE STATE OF ARIZONA
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.09861
VADER
0
Neutral
Moderation
Violence
0.0891944801
OpenAI Moderation v1 (007)
Violence > Graphic
0.0234137842
OpenAI Moderation v1 (007)
Harassment
0.0186491408
OpenAI Moderation v1 (007)
Hate
0.0040028139
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0036245518
OpenAI Moderation v1 (007)
Sexual
0.0013457538
OpenAI Moderation v1 (007)
Self-Harm
0.0007677285
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001951447
OpenAI Moderation v1 (007)
Hate > Threatening
0.0001266013
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001127482
OpenAI Moderation v1 (007)
Self-Harm > Instructions
8.74555E-5
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
4
Flesch-Kincaid Ease
73.3
Gunning-Fog Score
4.2
Coleman-Liau Index
6.9
SMOG Index
8.2
Automated Readability Index
0
Dale-Chall Readability Score
7.6
Sprache Readability Score
1.8
Dale-Chall Difficult Word Score
7
Sprache Difficult Word Count
8

Jon Kyl

Good afternoon. The Subcommittee on Terrorism and Technology will come to order. One of our first panelists is not here, but I think in view of time we are going to begin and I will begin with my opening statement.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.5
Positive
Harvard-IV (Absolute)
0.5
Positive
Harvard-IV (Logit)
0.8473
VADER
-0.214
Slightly Negative
Moderation
Harassment
0.6873682607
OpenAI Moderation v1 (007)
Hate
0.1818204648
OpenAI Moderation v1 (007)
Violence
0.1404056675
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0091636233
OpenAI Moderation v1 (007)
Self-Harm
0.0037219135
OpenAI Moderation v1 (007)
Violence > Graphic
0.0016118092
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0010329174
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0008913399
OpenAI Moderation v1 (007)
Hate > Threatening
0.0005031132
OpenAI Moderation v1 (007)
Sexual
0.0003374293
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001388383
OpenAI Moderation v1 (007)
Topics
Topic:
Unrest, Conflicts and War > Act of Terror
Score:
100
Magnitude:
0.11
Code:
16001000
Url:
https://cv.iptc.org/newscodes/subjectcode/16001000
Wikidata_id:
Q2223653
Wikidata_label:
terrorist attack
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
7
Flesch-Kincaid Ease
68.5
Gunning-Fog Score
8.3
Coleman-Liau Index
9.4
SMOG Index
11.3
Automated Readability Index
5.4
Dale-Chall Readability Score
3
Sprache Readability Score
2.9
Dale-Chall Difficult Word Score
6
Sprache Difficult Word Count
8

Jon Kyl

Let me say preliminarily that this Committee has been blessed with cooperation of experts in the past, but today we have really the most expert panel that we could have on the subject before us, the subject of first responders. I just want to thank all of our witnesses today for their willingness to be here and to edify the Committee on this most important topic.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.60944
Harvard-IV (Relative)
0.25
Slightly Positive
Harvard-IV (Absolute)
0.25
Slightly Positive
Harvard-IV (Logit)
0.45199
VADER
0.832
Very Positive
Moderation
Violence
1.7147004604
OpenAI Moderation v1 (007)
Violence > Graphic
0.6229027174
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0212781611
OpenAI Moderation v1 (007)
Harassment
0.0153710498
OpenAI Moderation v1 (007)
Hate
0.0093459195
OpenAI Moderation v1 (007)
Hate > Threatening
0.0065164924
OpenAI Moderation v1 (007)
Sexual
0.000666574
OpenAI Moderation v1 (007)
Self-Harm
0.0001081733
OpenAI Moderation v1 (007)
Sexual > Minors
5.65927E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.51957E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.00247E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Politics
Score:
100
Magnitude:
0.07
Code:
11000000
Url:
https://cv.iptc.org/newscodes/subjectcode/11000000
Wikidata_id:
Q7163
Wikidata_label:
politics
Source:
IPTC Subject
Topic:
Social Issue > People
Score:
74
Magnitude:
0.052
Code:
14024000
Url:
https://cv.iptc.org/newscodes/subjectcode/14024000
Wikidata_id:
Q1156970
Wikidata_label:
humanity
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
47.7
Gunning-Fog Score
17.4
Coleman-Liau Index
10.6
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
5
Sprache Readability Score
5
Dale-Chall Difficult Word Score
14
Sprache Difficult Word Count
13

Jon Kyl

Let me begin with my statement. Senator Feinstein is in the ante room and she will be here very shortly to give her statement and then we will call upon our first panel.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
0
Neutral
Moderation
Violence
0.3116504056
OpenAI Moderation v1 (007)
Violence > Graphic
0.0873644371
OpenAI Moderation v1 (007)
Harassment
0.0386851607
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0238016015
OpenAI Moderation v1 (007)
Hate
0.0084330146
OpenAI Moderation v1 (007)
Self-Harm
0.004498184
OpenAI Moderation v1 (007)
Hate > Threatening
0.0022802737
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0002771974
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0001783791
OpenAI Moderation v1 (007)
Sexual
1.72366E-5
OpenAI Moderation v1 (007)
Sexual > Minors
5.746E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Parliament
Score:
100
Magnitude:
0.072
Code:
11009000
Url:
https://cv.iptc.org/newscodes/subjectcode/11009000
Wikidata_id:
Q35749
Wikidata_label:
parliament
Source:
IPTC Subject
Topic:
Government Operations
Score:
24.13
Magnitude:
66
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
6.6
Flesch-Kincaid Ease
77.3
Gunning-Fog Score
7.8
Coleman-Liau Index
8.3
SMOG Index
7.3
Automated Readability Index
6.1
Dale-Chall Readability Score
4.2
Sprache Readability Score
3.1
Dale-Chall Difficult Word Score
7
Sprache Difficult Word Count
6

Jon Kyl

Of course, we know that first responders are the police and the firefighters and the emergency medical technicians. Our first witness, Chris Cox, Representative Cox, has said that first responders are the backbone of our communities. We post their names and numbers on our refrigerators because we rely upon them to help us in an emergency. They are our heroes in times of crisis. Indeed, during the September 11 attacks, the police and the firefighters led evacuations from the World Trade Center, helping an estimated 15,000 people escape safely.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
0.33333
Somewhat Positive
Harvard-IV (Absolute)
0.33333
Somewhat Positive
Harvard-IV (Logit)
0.63599
VADER
-0.026
Neutral
Moderation
Harassment
0.0600185362
OpenAI Moderation v1 (007)
Violence
0.0142101402
OpenAI Moderation v1 (007)
Hate
0.0062881343
OpenAI Moderation v1 (007)
Sexual
0.0025157768
OpenAI Moderation v1 (007)
Violence > Graphic
0.0014988027
OpenAI Moderation v1 (007)
Sexual > Minors
0.0010582514
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0005745164
OpenAI Moderation v1 (007)
Self-Harm
0.0001744804
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001005143
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.34373E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.42218E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Disaster and Accident > Relief and Aid Organization
Score:
100
Magnitude:
0.22
Code:
3012000
Url:
https://cv.iptc.org/newscodes/subjectcode/03012000
Wikidata_id:
Q11858035
Wikidata_label:
emergency response
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
10.4
Flesch-Kincaid Ease
52.3
Gunning-Fog Score
12.5
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
10.6
Dale-Chall Readability Score
5.5
Sprache Readability Score
5
Dale-Chall Difficult Word Score
26
Sprache Difficult Word Count
27

Jon Kyl

So, today, our Subcommittee will examine the report of the Independent Task Force on Emergency Responders, sponsored by the Council on Foreign Relations. We will hear from these noted experts, as I have said.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
-0.2
Slightly Negative
Harvard-IV (Absolute)
-0.2
Slightly Negative
Harvard-IV (Logit)
-0.33647
VADER
-0.382
Somewhat Negative
Moderation
Harassment
0.7233424578
OpenAI Moderation v1 (007)
Violence
0.0169049468
OpenAI Moderation v1 (007)
Violence > Graphic
0.0049325412
OpenAI Moderation v1 (007)
Hate
0.0022035754
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0006309644
OpenAI Moderation v1 (007)
Sexual
0.0001737886
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001662437
OpenAI Moderation v1 (007)
Self-Harm
1.58623E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
9.69E-6
OpenAI Moderation v1 (007)
Hate > Threatening
6.8231E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.4353E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Defense
Score:
100
Magnitude:
0.114
Code:
11001000
Url:
https://cv.iptc.org/newscodes/subjectcode/11001000
Wikidata_id:
Q17991228
Wikidata_label:
national defence
Source:
IPTC Subject
Topic:
Social Issue > Demographics > Immigration
Score:
71
Magnitude:
0.081
Code:
14003002
Url:
https://cv.iptc.org/newscodes/subjectcode/14003002
Wikidata_id:
Q131288
Wikidata_label:
immigration
Source:
IPTC Subject
Topic:
Defense
Score:
65.829
Magnitude:
87
Code:
16
Url:
https://fsc.al/cap-mc#16
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
10.5
Flesch-Kincaid Ease
50.2
Gunning-Fog Score
8
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
10.5
Dale-Chall Readability Score
6.4
Sprache Readability Score
3.9
Dale-Chall Difficult Word Score
12
Sprache Difficult Word Count
14

Jon Kyl

On the first panel, we will hear from the Chairman and Ranking Member of the House Select Committee on Homeland Security, Representative Chris Cox, and Jim Turner, the ranking Democrat on the Committee. Chairman Cox has a proposal titled "Faster and Smarter Funding for First Responders," which is based on the following principles.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.94591
VADER
0.66
Very Positive
Moderation
Harassment
0.3790380666
OpenAI Moderation v1 (007)
Violence
0.0208698548
OpenAI Moderation v1 (007)
Violence > Graphic
0.0139749565
OpenAI Moderation v1 (007)
Hate
0.0035602869
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0034489069
OpenAI Moderation v1 (007)
Sexual
0.0022532204
OpenAI Moderation v1 (007)
Sexual > Minors
0.0002264594
OpenAI Moderation v1 (007)
Self-Harm
3.05829E-5
OpenAI Moderation v1 (007)
Hate > Threatening
2.93935E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
7.7141E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
5.9673E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Election
Score:
100
Magnitude:
0.076
Code:
11003000
Url:
https://cv.iptc.org/newscodes/subjectcode/11003000
Wikidata_id:
Q40231
Wikidata_label:
public election
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
37.9
Gunning-Fog Score
12.9
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
8.5
Sprache Readability Score
5
Dale-Chall Difficult Word Score
24
Sprache Difficult Word Count
23

Jon Kyl

Threat analysis: Federal grants should be distributed based on an authoritative assessment of where the risk is greatest. Rapid funding: Funding should get to its intended first responders as quickly as possible. Regional cooperation: Funding priorities should reward communities that successfully develop interoperability plans and work across jurisdiction lines.
Sentiment
Loughran McDonald (Relative)
0.5
Positive
Loughran McDonald (Absolute)
0.5
Positive
Loughran McDonald (Logit)
0.8473
Harvard-IV (Relative)
0.33333
Somewhat Positive
Harvard-IV (Absolute)
0.33333
Somewhat Positive
Harvard-IV (Logit)
0.58779
VADER
0.818
Very Positive
Moderation
Harassment
0.28411448
OpenAI Moderation v1 (007)
Violence
0.2344988985
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0136520262
OpenAI Moderation v1 (007)
Hate
0.0065085551
OpenAI Moderation v1 (007)
Violence > Graphic
0.0027942189
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.000398586
OpenAI Moderation v1 (007)
Self-Harm
0.0003804681
OpenAI Moderation v1 (007)
Sexual
0.000286477
OpenAI Moderation v1 (007)
Hate > Threatening
0.0002114665
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0001935449
OpenAI Moderation v1 (007)
Sexual > Minors
2.30339E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Law and Crime
Score:
49.43
Magnitude:
53
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
10.7
Gunning-Fog Score
18.8
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
8.9
Sprache Readability Score
4.7
Dale-Chall Difficult Word Score
25
Sprache Difficult Word Count
25

Jon Kyl

On the second panel, we will hear from, as I say, three of the most expert people we could call upon here. First, Senator Warren Rudman, the Chairman of the Independent Task Force on Emergency Responders; Dick Clarke, the Senior Advisor to the Council on Foreign Relations.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
-0.2
Slightly Negative
Harvard-IV (Absolute)
-0.2
Slightly Negative
Harvard-IV (Logit)
-0.33647
VADER
-0.71
Very Negative
Moderation
Sexual
0.0183565135
OpenAI Moderation v1 (007)
Violence > Graphic
0.0162641169
OpenAI Moderation v1 (007)
Violence
0.0050285897
OpenAI Moderation v1 (007)
Harassment
0.0005968324
OpenAI Moderation v1 (007)
Harassment > Threatening
0.000196914
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001220678
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.9495E-5
OpenAI Moderation v1 (007)
Self-Harm
2.79254E-5
OpenAI Moderation v1 (007)
Hate
2.46687E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.18436E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.726E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Defense
Score:
100
Magnitude:
0.096
Code:
11001000
Url:
https://cv.iptc.org/newscodes/subjectcode/11001000
Wikidata_id:
Q17991228
Wikidata_label:
national defence
Source:
IPTC Subject
Topic:
Social Issue > Demographics > Immigration
Score:
88
Magnitude:
0.085
Code:
14003002
Url:
https://cv.iptc.org/newscodes/subjectcode/14003002
Wikidata_id:
Q131288
Wikidata_label:
immigration
Source:
IPTC Subject
Topic:
Politics > Parliament
Score:
70
Magnitude:
0.067
Code:
11009000
Url:
https://cv.iptc.org/newscodes/subjectcode/11009000
Wikidata_id:
Q35749
Wikidata_label:
parliament
Source:
IPTC Subject
Topic:
Disaster and Accident > Emergency Incident
Score:
52
Magnitude:
0.05
Code:
3014000
Url:
https://cv.iptc.org/newscodes/subjectcode/03014000
Wikidata_id:
Q5070802
Wikidata_label:
emergency
Source:
IPTC Subject
Topic:
Health
Score:
41.329
Magnitude:
49
Code:
3
Url:
https://fsc.al/cap-mc#3
Source:
Comparative Agendas
Topic:
Defense
Score:
36.869
Magnitude:
49
Code:
16
Url:
https://fsc.al/cap-mc#16
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
49.8
Gunning-Fog Score
9.4
Coleman-Liau Index
11.5
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
6.9
Sprache Readability Score
5
Dale-Chall Difficult Word Score
17
Sprache Difficult Word Count
18

Jon Kyl

At the outset of its report, by the way, the Council makes the point, and I am quoting now, "The United States must assume that terrorists will strike again, and the United States remains dangerously ill prepared to handle a catastrophic attack on American soil" -- a pretty serious statement.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-2.19722
Harvard-IV (Relative)
-0.2
Slightly Negative
Harvard-IV (Absolute)
-0.2
Slightly Negative
Harvard-IV (Logit)
-0.36772
VADER
-0.807
Very Negative
Moderation
Harassment
0.009025896
OpenAI Moderation v1 (007)
Sexual
0.0015449845
OpenAI Moderation v1 (007)
Violence
0.0008026126
OpenAI Moderation v1 (007)
Violence > Graphic
0.0001719842
OpenAI Moderation v1 (007)
Hate
8.14463E-5
OpenAI Moderation v1 (007)
Harassment > Threatening
2.57816E-5
OpenAI Moderation v1 (007)
Sexual > Minors
2.42722E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
7.2374E-6
OpenAI Moderation v1 (007)
Hate > Threatening
4.7108E-6
OpenAI Moderation v1 (007)
Self-Harm
3.0119E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.8877E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Unrest, Conflicts and War > Act of Terror
Score:
100
Magnitude:
0.213
Code:
16001000
Url:
https://cv.iptc.org/newscodes/subjectcode/16001000
Wikidata_id:
Q2223653
Wikidata_label:
terrorist attack
Source:
IPTC Subject
Topic:
Crime, Law and Justice > Crime > Terrorism
Score:
59
Magnitude:
0.126
Code:
2001010
Url:
https://cv.iptc.org/newscodes/subjectcode/02001010
Wikidata_id:
Q7283
Wikidata_label:
terrorism
Source:
IPTC Subject
Topic:
Labor > Strike
Score:
51
Magnitude:
0.109
Code:
9008000
Url:
https://cv.iptc.org/newscodes/subjectcode/09008000
Wikidata_id:
Q49776
Wikidata_label:
strike
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
22.4
Gunning-Fog Score
19
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
6.9
Sprache Readability Score
5
Dale-Chall Difficult Word Score
14
Sprache Difficult Word Count
18

Jon Kyl

According to the report, there are two major obstacles hampering America's emergency preparedness efforts: lack of preparedness standards and stalled funding for emergency responders. One of the Council's recommendations to deal with the problem of stalled distribution is that the system for allocating scarce resources should be based less on equally dividing the spoils and more on addressing identified threats and vulnerabilities.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-2.56495
Harvard-IV (Relative)
-0.38462
Somewhat Negative
Harvard-IV (Absolute)
-0.38462
Somewhat Negative
Harvard-IV (Logit)
-0.74721
VADER
-0.95
Very Negative
Moderation
Sexual
0.0261904235
OpenAI Moderation v1 (007)
Violence
0.0042432781
OpenAI Moderation v1 (007)
Violence > Graphic
0.0036637306
OpenAI Moderation v1 (007)
Harassment
0.0017618982
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0007535057
OpenAI Moderation v1 (007)
Sexual > Minors
0.0004609626
OpenAI Moderation v1 (007)
Self-Harm
0.0002174002
OpenAI Moderation v1 (007)
Self-Harm > Intent
5.91217E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
5.0737E-6
OpenAI Moderation v1 (007)
Hate
4.5228E-6
OpenAI Moderation v1 (007)
Hate > Threatening
2.797E-6
OpenAI Moderation v1 (007)
Topics
Topic:
International Affairs
Score:
72.014
Magnitude:
50
Code:
19
Url:
https://fsc.al/cap-mc#19
Source:
Comparative Agendas
Topic:
Defense
Score:
21.054
Magnitude:
50
Code:
16
Url:
https://fsc.al/cap-mc#16
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
14.4
Gunning-Fog Score
19
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
9.4
Sprache Readability Score
5
Dale-Chall Difficult Word Score
31
Sprache Difficult Word Count
31

Jon Kyl

According to the report, and I am again quoting, "To do this, the Federal Government should consider such factors as population, population density, vulnerability assessment, and presence of critical infrastructure within each State." I agree with that and look forward to hearing the witnesses discuss that.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.60944
Harvard-IV (Relative)
0.71429
Very Positive
Harvard-IV (Absolute)
0.71429
Very Positive
Harvard-IV (Logit)
1.46634
VADER
-0.178
Leans Negative
Moderation
Violence > Graphic
0.0082445644
OpenAI Moderation v1 (007)
Violence
0.0030960462
OpenAI Moderation v1 (007)
Harassment
0.0008539779
OpenAI Moderation v1 (007)
Hate
0.000716651
OpenAI Moderation v1 (007)
Sexual
0.0003067912
OpenAI Moderation v1 (007)
Harassment > Threatening
6.23136E-5
OpenAI Moderation v1 (007)
Self-Harm
1.38129E-5
OpenAI Moderation v1 (007)
Sexual > Minors
1.01782E-5
OpenAI Moderation v1 (007)
Hate > Threatening
3.9535E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.5514E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
6.675E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Social Issue > Demographics
Score:
100
Magnitude:
0.357
Code:
14003000
Url:
https://cv.iptc.org/newscodes/subjectcode/14003000
Wikidata_id:
Q37732
Wikidata_label:
demography
Source:
IPTC Subject
Topic:
Defense
Score:
53.437
Magnitude:
62
Code:
16
Url:
https://fsc.al/cap-mc#16
Source:
Comparative Agendas
Topic:
Health
Score:
24.967
Magnitude:
62
Code:
3
Url:
https://fsc.al/cap-mc#3
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
27.2
Gunning-Fog Score
16.2
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
6.6
Sprache Readability Score
5
Dale-Chall Difficult Word Score
16
Sprache Difficult Word Count
21

Jon Kyl

Finally, the Subcommittee will hear from Dr. Paul Posner, of the General Accounting Office. At the beginning of his written testimony, Dr. Posner makes a similar point and he writes, again quoting, "Given the many needs and high stakes involved, it is all the more important that the structure and design of Federal grants be geared to fund the highest-priority projects with the greatest potential impact for improving homeland security."
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.94591
Harvard-IV (Relative)
0.33333
Somewhat Positive
Harvard-IV (Absolute)
0.33333
Somewhat Positive
Harvard-IV (Logit)
0.61904
VADER
0.907
Very Positive
Moderation
Sexual
0.1689467579
OpenAI Moderation v1 (007)
Violence
0.1302225632
OpenAI Moderation v1 (007)
Harassment
0.0716055569
OpenAI Moderation v1 (007)
Hate
0.069067016
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0147584375
OpenAI Moderation v1 (007)
Violence > Graphic
0.0075188596
OpenAI Moderation v1 (007)
Sexual > Minors
0.0030724601
OpenAI Moderation v1 (007)
Hate > Threatening
0.0016156335
OpenAI Moderation v1 (007)
Self-Harm
0.0013795393
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0006541273
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0001477228
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
10.9
Flesch-Kincaid Ease
48.2
Gunning-Fog Score
12.2
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
11.1
Dale-Chall Readability Score
6.9
Sprache Readability Score
5
Dale-Chall Difficult Word Score
27
Sprache Difficult Word Count
32

Jon Kyl

It seems that, as Chairman Cox has said elsewhere, the pipeline is a big part of the problem. Indeed, in its report the Council says, again quoting, "In some respects, there is no natural limit to what the United States could spend on emergency preparedness. The United States could spend the entire gross domestic product and still be unprepared, or wisely spend a limited amount and end up sufficiently prepared."
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.94591
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
0.382
Somewhat Positive
Moderation
Harassment
0.0823275128
OpenAI Moderation v1 (007)
Sexual
0.0191729792
OpenAI Moderation v1 (007)
Violence > Graphic
0.0173206732
OpenAI Moderation v1 (007)
Violence
0.0162567507
OpenAI Moderation v1 (007)
Self-Harm
0.0055484539
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0040365587
OpenAI Moderation v1 (007)
Harassment > Threatening
0.003370889
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0017339662
OpenAI Moderation v1 (007)
Hate
0.0015118215
OpenAI Moderation v1 (007)
Sexual > Minors
0.0011271662
OpenAI Moderation v1 (007)
Hate > Threatening
6.49069E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Environmental Issue > Nature
Score:
100
Magnitude:
0.051
Code:
6007000
Url:
https://cv.iptc.org/newscodes/subjectcode/06007000
Wikidata_id:
Q7860
Wikidata_label:
nature
Source:
IPTC Subject
Topic:
Defense
Score:
93.603
Magnitude:
70
Code:
16
Url:
https://fsc.al/cap-mc#16
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
11.7
Flesch-Kincaid Ease
52.6
Gunning-Fog Score
14.5
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
6.1
Sprache Readability Score
5
Dale-Chall Difficult Word Score
22
Sprache Difficult Word Count
24

Jon Kyl

If it does the former, I submit that it just throws money at the problem and then the result will be, as the Council observed, "The United States will have created an illusion of preparedness based on boutique funding initiatives without being systematically prepared. The American people will feel safer because they observe a lot of activity, not be safer because the United States has addressed its vulnerabilities" -- I think a wise conclusion. I agree, therefore, that the Government needs to spend its money more wisely.
Sentiment
Loughran McDonald (Relative)
-0.33333
Somewhat Negative
Loughran McDonald (Absolute)
-0.33333
Somewhat Negative
Loughran McDonald (Logit)
-0.51083
Harvard-IV (Relative)
-0.2
Slightly Negative
Harvard-IV (Absolute)
-0.2
Slightly Negative
Harvard-IV (Logit)
-0.33647
VADER
0.918
Very Positive
Moderation
Violence > Graphic
0.0562299741
OpenAI Moderation v1 (007)
Harassment
0.021165637
OpenAI Moderation v1 (007)
Violence
0.0113656264
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0012841894
OpenAI Moderation v1 (007)
Hate
0.001246567
OpenAI Moderation v1 (007)
Sexual
0.0005363737
OpenAI Moderation v1 (007)
Sexual > Minors
0.0002935068
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0002149941
OpenAI Moderation v1 (007)
Self-Harm
7.50254E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.70606E-5
OpenAI Moderation v1 (007)
Hate > Threatening
2.7093E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Government
Score:
100
Magnitude:
0.087
Code:
11006000
Url:
https://cv.iptc.org/newscodes/subjectcode/11006000
Wikidata_id:
Q7188
Wikidata_label:
government
Source:
IPTC Subject
Topic:
Defense
Score:
81.469
Magnitude:
70
Code:
16
Url:
https://fsc.al/cap-mc#16
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
38
Gunning-Fog Score
15.7
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
6.4
Sprache Readability Score
5
Dale-Chall Difficult Word Score
27
Sprache Difficult Word Count
28

Jon Kyl

One example of this, a potential wise use of resources, is a proposal called Project Zebra. Project Zebra is a medically- based bioattack detention and warning system which could detect and monitor infections from biological attacks and quickly communicate the results across the country.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.60944
Harvard-IV (Relative)
0.2
Leans Positive
Harvard-IV (Absolute)
0.2
Leans Positive
Harvard-IV (Logit)
0.33647
VADER
-0.778
Very Negative
Moderation
Violence
0.0061700237
OpenAI Moderation v1 (007)
Violence > Graphic
0.0044450349
OpenAI Moderation v1 (007)
Harassment
0.0023809003
OpenAI Moderation v1 (007)
Hate
0.0006944544
OpenAI Moderation v1 (007)
Sexual
0.0004109844
OpenAI Moderation v1 (007)
Harassment > Threatening
6.05687E-5
OpenAI Moderation v1 (007)
Sexual > Minors
4.39609E-5
OpenAI Moderation v1 (007)
Self-Harm
1.55748E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
8.1965E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
6.2735E-6
OpenAI Moderation v1 (007)
Hate > Threatening
4.675E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Science and Technology > Natural Science > Biology
Score:
100
Magnitude:
0.068
Code:
13004008
Url:
https://cv.iptc.org/newscodes/subjectcode/13004008
Wikidata_id:
Q420
Wikidata_label:
biology
Source:
IPTC Subject
Topic:
Defense
Score:
49.184
Magnitude:
87
Code:
16
Url:
https://fsc.al/cap-mc#16
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
21.1
Gunning-Fog Score
18.8
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
9
Sprache Readability Score
5
Dale-Chall Difficult Word Score
22
Sprache Difficult Word Count
22

Jon Kyl

Rather than attempting, at great and maybe even prohibitive cost, to set up sensors across the Nation -- many believe that that would be infeasible -- Project Zebra would quickly determine whether symptoms of patients presenting themselves to emergency rooms were the result of normal diseases or from biological agents.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.09861
Harvard-IV (Relative)
-0.25
Slightly Negative
Harvard-IV (Absolute)
-0.25
Slightly Negative
Harvard-IV (Logit)
-0.45199
VADER
0.361
Somewhat Positive
Moderation
Violence > Graphic
0.0321658765
OpenAI Moderation v1 (007)
Violence
0.0235075975
OpenAI Moderation v1 (007)
Harassment
0.0067571367
OpenAI Moderation v1 (007)
Hate
0.0005893022
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0005019366
OpenAI Moderation v1 (007)
Sexual
0.000141724
OpenAI Moderation v1 (007)
Self-Harm
6.23063E-5
OpenAI Moderation v1 (007)
Hate > Threatening
6.4804E-6
OpenAI Moderation v1 (007)
Sexual > Minors
2.8091E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
9.365E-7
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.685E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Health > Disease
Score:
100
Magnitude:
0.099
Code:
7001000
Url:
https://cv.iptc.org/newscodes/subjectcode/07001000
Wikidata_id:
Q814207
Wikidata_label:
illness
Source:
IPTC Subject
Topic:
Health
Score:
91.138
Magnitude:
44
Code:
3
Url:
https://fsc.al/cap-mc#3
Source:
Comparative Agendas
Topic:
Health > Medical Research
Score:
60
Magnitude:
0.059
Code:
7005000
Url:
https://cv.iptc.org/newscodes/subjectcode/07005000
Wikidata_id:
Q2752427
Wikidata_label:
medical research
Source:
IPTC Subject
Topic:
Crime, Law and Justice > Police
Score:
55
Magnitude:
0.055
Code:
2003000
Url:
https://cv.iptc.org/newscodes/subjectcode/02003000
Wikidata_id:
Q35535
Wikidata_label:
police
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
4.8
Gunning-Fog Score
19
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
9
Sprache Readability Score
5
Dale-Chall Difficult Word Score
20
Sprache Difficult Word Count
24

Jon Kyl

As for the pipeline and the formulas, there is an experience in Arizona that I just thought I would share with you that illustrates at least part of the problem.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
0.33333
Somewhat Positive
Harvard-IV (Absolute)
0.33333
Somewhat Positive
Harvard-IV (Logit)
0.51083
VADER
-0.128
Leans Negative
Moderation
Violence > Graphic
0.0226085322
OpenAI Moderation v1 (007)
Violence
0.0067495246
OpenAI Moderation v1 (007)
Hate
0.0007362637
OpenAI Moderation v1 (007)
Harassment
0.0003544135
OpenAI Moderation v1 (007)
Sexual
0.0001991521
OpenAI Moderation v1 (007)
Harassment > Threatening
7.5003E-5
OpenAI Moderation v1 (007)
Self-Harm
1.89589E-5
OpenAI Moderation v1 (007)
Sexual > Minors
9.5856E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
7.8947E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
7.8006E-6
OpenAI Moderation v1 (007)
Hate > Threatening
7.129E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Health
Score:
87.229
Magnitude:
50
Code:
3
Url:
https://fsc.al/cap-mc#3
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
57.9
Gunning-Fog Score
17.3
Coleman-Liau Index
9.7
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
4.6
Sprache Readability Score
4.8
Dale-Chall Difficult Word Score
6
Sprache Difficult Word Count
6

Jon Kyl

Recently, the Department of Homeland Security classified Pima County, Arizona's population level the same as Maricopa County's. They are quite different. As a result, Pima County is scheduled to receive an additional $1.3 million beyond its allowed formula grant.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
0.2
Leans Positive
Harvard-IV (Absolute)
0.2
Leans Positive
Harvard-IV (Logit)
0.33647
VADER
0.599
Very Positive
Moderation
Harassment
0.0495750923
OpenAI Moderation v1 (007)
Violence
0.0087449276
OpenAI Moderation v1 (007)
Violence > Graphic
0.0083644103
OpenAI Moderation v1 (007)
Hate
0.0011305756
OpenAI Moderation v1 (007)
Sexual
0.0006435992
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0002353932
OpenAI Moderation v1 (007)
Sexual > Minors
2.32622E-5
OpenAI Moderation v1 (007)
Self-Harm
5.9037E-6
OpenAI Moderation v1 (007)
Hate > Threatening
4.8473E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.8069E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.88E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Transportation
Score:
64.403
Magnitude:
30
Code:
10
Url:
https://fsc.al/cap-mc#10
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
22.3
Gunning-Fog Score
12.4
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
10.8
Dale-Chall Readability Score
7.9
Sprache Readability Score
4
Dale-Chall Difficult Word Score
18
Sprache Difficult Word Count
21

Jon Kyl

Well, Pima County is located on the border with Mexico and it has very urgent first responder and border enforcement needs. So the county has dedicated, but not yet spent, this windfall of first responder funds. The county officials are hopeful they will be able to keep those inadvertently promised funds from DHS.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.60944
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
0.895
Very Positive
Moderation
Violence
0.022750166
OpenAI Moderation v1 (007)
Harassment
0.0204739292
OpenAI Moderation v1 (007)
Violence > Graphic
0.0056762172
OpenAI Moderation v1 (007)
Hate
0.002367894
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0017861788
OpenAI Moderation v1 (007)
Sexual
0.0002322187
OpenAI Moderation v1 (007)
Self-Harm
2.07002E-5
OpenAI Moderation v1 (007)
Hate > Threatening
8.4194E-6
OpenAI Moderation v1 (007)
Sexual > Minors
5.7817E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
3.7459E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
9.716E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Government Operations
Score:
33.227
Magnitude:
38
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Topic:
Law and Crime
Score:
24.15
Magnitude:
38
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
10.2
Flesch-Kincaid Ease
53.2
Gunning-Fog Score
13.1
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
10.2
Dale-Chall Readability Score
5.9
Sprache Readability Score
4.2
Dale-Chall Difficult Word Score
17
Sprache Difficult Word Count
17

Jon Kyl

My point here is obviously that was simply a mistake. What we need to do is focus where the targeted needs are and where the highest risk is and direct our funding most there. Of course, I would contend that border counties fall within that category of high risk, by definition, and should receive a significant part of first responder spending, and not by accident.
Sentiment
Loughran McDonald (Relative)
-0.5
Very Negative
Loughran McDonald (Absolute)
-0.5
Very Negative
Loughran McDonald (Logit)
-0.8473
Harvard-IV (Relative)
-0.5
Very Negative
Harvard-IV (Absolute)
-0.5
Very Negative
Harvard-IV (Logit)
-0.95551
VADER
-0.456
Negative
Moderation
Violence
0.8618525229
OpenAI Moderation v1 (007)
Violence > Graphic
0.0720188487
OpenAI Moderation v1 (007)
Harassment
0.0181798183
OpenAI Moderation v1 (007)
Harassment > Threatening
0.014053921
OpenAI Moderation v1 (007)
Hate
0.0065617329
OpenAI Moderation v1 (007)
Hate > Threatening
0.0022353599
OpenAI Moderation v1 (007)
Self-Harm
0.0003019691
OpenAI Moderation v1 (007)
Sexual
0.0001113419
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001033419
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.52017E-5
OpenAI Moderation v1 (007)
Sexual > Minors
1.27624E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Law and Crime
Score:
95.474
Magnitude:
53
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
10.1
Flesch-Kincaid Ease
61.2
Gunning-Fog Score
13
Coleman-Liau Index
10.9
SMOG Index
12
Automated Readability Index
10.8
Dale-Chall Readability Score
5
Sprache Readability Score
4.8
Dale-Chall Difficult Word Score
16
Sprache Difficult Word Count
19

Jon Kyl

In any event, in closing I again thank the witnesses for being here. I would like to thank Senator Feinstein, as usual. The basic idea for conducting this hearing at this time came from Senator Feinstein, and on this issue and every other in this Subcommittee she has been enormously helpful and very constructive to work with.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.09861
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
2.56495
VADER
0.861
Very Positive
Moderation
Violence
0.0083448678
OpenAI Moderation v1 (007)
Violence > Graphic
0.0083348546
OpenAI Moderation v1 (007)
Harassment
0.0010766172
OpenAI Moderation v1 (007)
Sexual
0.0009500691
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0008832657
OpenAI Moderation v1 (007)
Hate
9.86317E-5
OpenAI Moderation v1 (007)
Sexual > Minors
5.11587E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.72781E-5
OpenAI Moderation v1 (007)
Self-Harm
1.84441E-5
OpenAI Moderation v1 (007)
Hate > Threatening
4.4769E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.1689E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Parliament
Score:
100
Magnitude:
0.149
Code:
11009000
Url:
https://cv.iptc.org/newscodes/subjectcode/11009000
Wikidata_id:
Q35749
Wikidata_label:
parliament
Source:
IPTC Subject
Topic:
Health
Score:
84.213
Magnitude:
65
Code:
3
Url:
https://fsc.al/cap-mc#3
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
10.7
Flesch-Kincaid Ease
52.5
Gunning-Fog Score
11.8
Coleman-Liau Index
11.6
SMOG Index
12
Automated Readability Index
10
Dale-Chall Readability Score
4.8
Sprache Readability Score
4.1
Dale-Chall Difficult Word Score
14
Sprache Difficult Word Count
14

Jon Kyl

Senator Feinstein.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
0
Neutral
Moderation
Sexual
0.0134190268
OpenAI Moderation v1 (007)
Harassment
0.0074052441
OpenAI Moderation v1 (007)
Violence > Graphic
0.0036959205
OpenAI Moderation v1 (007)
Violence
0.0036506728
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0004739655
OpenAI Moderation v1 (007)
Sexual > Minors
9.09229E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
8.40013E-5
OpenAI Moderation v1 (007)
Self-Harm
7.06099E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.19368E-5
OpenAI Moderation v1 (007)
Hate
2.61217E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.2392E-5
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
0
Gunning-Fog Score
0.8
Coleman-Liau Index
12
SMOG Index
9
Automated Readability Index
12
Dale-Chall Readability Score
10
Sprache Readability Score
1.1
Dale-Chall Difficult Word Score
2
Sprache Difficult Word Count
2

Dianne Feinstein

Thanks very much, Mr. Chairman, and I think you know that I find it a privilege and a delight to work with you, and I thank you very much for calendaring this hearing.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.09861
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
2.3979
VADER
0.896
Very Positive
Moderation
Violence > Graphic
0.097398489
OpenAI Moderation v1 (007)
Violence
0.0221665003
OpenAI Moderation v1 (007)
Sexual
0.00699882
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0026855862
OpenAI Moderation v1 (007)
Harassment
0.0018542727
OpenAI Moderation v1 (007)
Sexual > Minors
0.0008105918
OpenAI Moderation v1 (007)
Self-Harm
0.000346514
OpenAI Moderation v1 (007)
Hate
0.0003287968
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001218514
OpenAI Moderation v1 (007)
Hate > Threatening
4.50789E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.95609E-5
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
6.2
Flesch-Kincaid Ease
79.9
Gunning-Fog Score
9
Coleman-Liau Index
7.4
SMOG Index
9
Automated Readability Index
5.4
Dale-Chall Readability Score
2.7
Sprache Readability Score
3.1
Dale-Chall Difficult Word Score
4
Sprache Difficult Word Count
6

Dianne Feinstein

I also want to welcome the two specialists -- I am sure there are others in the House -- Congressmen Cox and Turner. We look forward to your comments on homeland security. And, of course, Warren Rudman, who I think has appeared before this Subcommittee now three times.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.94591
VADER
0.791
Very Positive
Moderation
Violence
0.0726059719
OpenAI Moderation v1 (007)
Violence > Graphic
0.0338518876
OpenAI Moderation v1 (007)
Harassment
0.0312644726
OpenAI Moderation v1 (007)
Hate
0.0096614036
OpenAI Moderation v1 (007)
Sexual
0.0043640717
OpenAI Moderation v1 (007)
Sexual > Minors
0.0021420728
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0013052247
OpenAI Moderation v1 (007)
Hate > Threatening
0.0006569643
OpenAI Moderation v1 (007)
Self-Harm
0.0005046619
OpenAI Moderation v1 (007)
Self-Harm > Intent
9.9012E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.1998E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
7.8
Flesch-Kincaid Ease
66.2
Gunning-Fog Score
8.7
Coleman-Liau Index
11.3
SMOG Index
10.6
Automated Readability Index
7.9
Dale-Chall Readability Score
4.5
Sprache Readability Score
3.6
Dale-Chall Difficult Word Score
11
Sprache Difficult Word Count
13

Jon Kyl

At least three times.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
0
Neutral
Moderation
Sexual
0.087050302
OpenAI Moderation v1 (007)
Harassment
0.012606736
OpenAI Moderation v1 (007)
Violence
0.0119497119
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0022684029
OpenAI Moderation v1 (007)
Violence > Graphic
0.0004354878
OpenAI Moderation v1 (007)
Sexual > Minors
0.0003844756
OpenAI Moderation v1 (007)
Hate
0.0003375732
OpenAI Moderation v1 (007)
Self-Harm
0.0001364954
OpenAI Moderation v1 (007)
Self-Harm > Instructions
5.22761E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
4.41683E-5
OpenAI Moderation v1 (007)
Hate > Threatening
3.7865E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
0
Flesch-Kincaid Ease
100
Gunning-Fog Score
1.6
Coleman-Liau Index
9.2
SMOG Index
3.3
Automated Readability Index
0.6
Dale-Chall Readability Score
0.2
Sprache Readability Score
1.1
Dale-Chall Difficult Word Score
0
Sprache Difficult Word Count
0

Dianne Feinstein

At least that, and is greatly respected. Also, Dick Clarke and Paul Posner, as well.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.09861
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.09861
VADER
0.219
Slightly Positive
Moderation
Sexual
0.0087180924
OpenAI Moderation v1 (007)
Violence
0.0074503492
OpenAI Moderation v1 (007)
Violence > Graphic
0.00424994
OpenAI Moderation v1 (007)
Harassment
0.0019221685
OpenAI Moderation v1 (007)
Hate
0.0006270587
OpenAI Moderation v1 (007)
Sexual > Minors
0.0002743709
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0001741229
OpenAI Moderation v1 (007)
Hate > Threatening
4.5314E-5
OpenAI Moderation v1 (007)
Self-Harm
1.50293E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
6.5996E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.4357E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Civil Rights
Score:
25.117
Magnitude:
4
Code:
2
Url:
https://fsc.al/cap-mc#2
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
3.9
Flesch-Kincaid Ease
80.8
Gunning-Fog Score
5.7
Coleman-Liau Index
9.7
SMOG Index
7.3
Automated Readability Index
2.7
Dale-Chall Readability Score
6.7
Sprache Readability Score
2.1
Dale-Chall Difficult Word Score
6
Sprache Difficult Word Count
6

Dianne Feinstein

Now, I would like to take a little different tack in my opening comments because of something you said, Senator, that there are targeted needs and the money needs to be directed toward these targeted needs. So the first point I want to make is that the formula under which these monies are distributed really fails to do that. Wisconsin, for example, gets about $35 per person. California gets $5 per person. The GAO has looked at this and found that the formula really doesn't see that money goes where the needs are.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
-0.5
Very Negative
Harvard-IV (Absolute)
-0.5
Very Negative
Harvard-IV (Logit)
-0.99853
VADER
-0.068
Neutral
Moderation
Harassment
0.0052425057
OpenAI Moderation v1 (007)
Violence
0.0030984505
OpenAI Moderation v1 (007)
Hate
0.0024453953
OpenAI Moderation v1 (007)
Violence > Graphic
0.0007712935
OpenAI Moderation v1 (007)
Sexual
0.0006706926
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001080845
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0001068336
OpenAI Moderation v1 (007)
Self-Harm
1.63591E-5
OpenAI Moderation v1 (007)
Hate > Threatening
2.1406E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
6.125E-7
OpenAI Moderation v1 (007)
Self-Harm > Instructions
9.75E-8
OpenAI Moderation v1 (007)
Topics
Topic:
Sport > Motor Racing > Formula One
Score:
100
Magnitude:
0.127
Code:
15039001
Url:
https://cv.iptc.org/newscodes/subjectcode/15039001
Wikidata_id:
Q1968
Wikidata_label:
Formula One
Source:
IPTC Subject
Topic:
Politics > Parliament
Score:
58
Magnitude:
0.074
Code:
11009000
Url:
https://cv.iptc.org/newscodes/subjectcode/11009000
Wikidata_id:
Q35749
Wikidata_label:
parliament
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
8.8
Flesch-Kincaid Ease
65.1
Gunning-Fog Score
13.5
Coleman-Liau Index
10.2
SMOG Index
12
Automated Readability Index
8.6
Dale-Chall Readability Score
3.8
Sprache Readability Score
4.4
Dale-Chall Difficult Word Score
17
Sprache Difficult Word Count
18

Dianne Feinstein

The second point I would like to make is that the Council on Foreign Relations Task Force report entitled "Drastically Underfunded, Dangerously Unprepared," is the first systematic attempt to estimate national homeland security needs. It determined that first responders have unbudgeted needs that total about $100 billion. Others agree with that, and I just want to mention a few other findings that are borne out to support what the task force has done.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-2.3979
Harvard-IV (Relative)
-0.27273
Slightly Negative
Harvard-IV (Absolute)
-0.27273
Slightly Negative
Harvard-IV (Logit)
-0.51083
VADER
0.872
Very Positive
Moderation
Violence > Graphic
0.0354762742
OpenAI Moderation v1 (007)
Sexual
0.0082256549
OpenAI Moderation v1 (007)
Violence
0.0050485301
OpenAI Moderation v1 (007)
Harassment
0.0021330829
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0003805856
OpenAI Moderation v1 (007)
Hate
0.0001111819
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001104252
OpenAI Moderation v1 (007)
Self-Harm
0.0001009931
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.73286E-5
OpenAI Moderation v1 (007)
Hate > Threatening
9.0004E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.1695E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Crime, Law and Justice > Police
Score:
100
Magnitude:
0.27
Code:
2003000
Url:
https://cv.iptc.org/newscodes/subjectcode/02003000
Wikidata_id:
Q35535
Wikidata_label:
police
Source:
IPTC Subject
Topic:
Politics > Defense
Score:
64
Magnitude:
0.174
Code:
11001000
Url:
https://cv.iptc.org/newscodes/subjectcode/11001000
Wikidata_id:
Q17991228
Wikidata_label:
national defence
Source:
IPTC Subject
Topic:
Macroeconomics
Score:
55.648
Magnitude:
91
Code:
1
Url:
https://fsc.al/cap-mc#1
Source:
Comparative Agendas
Topic:
Government Operations
Score:
24.905
Magnitude:
91
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
41.9
Gunning-Fog Score
15.2
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
6.6
Sprache Readability Score
5
Dale-Chall Difficult Word Score
25
Sprache Difficult Word Count
27

Dianne Feinstein

In March of 2003, the Conference of Mayors said that cities are spending an additional $70 million per week on personnel costs alone just to keep up with security requirements.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.33333
Somewhat Positive
Harvard-IV (Absolute)
0.33333
Somewhat Positive
Harvard-IV (Logit)
0.51083
VADER
0.103
Leans Positive
Moderation
Violence
0.1875914168
OpenAI Moderation v1 (007)
Violence > Graphic
0.0791938161
OpenAI Moderation v1 (007)
Harassment
0.0122513957
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0029166238
OpenAI Moderation v1 (007)
Hate
0.0025464145
OpenAI Moderation v1 (007)
Sexual > Minors
0.0004074218
OpenAI Moderation v1 (007)
Hate > Threatening
0.0003562794
OpenAI Moderation v1 (007)
Self-Harm
0.000342304
OpenAI Moderation v1 (007)
Sexual
0.0002588981
OpenAI Moderation v1 (007)
Self-Harm > Intent
8.94788E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.56842E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Local Authority
Score:
100
Magnitude:
0.177
Code:
11008000
Url:
https://cv.iptc.org/newscodes/subjectcode/11008000
Wikidata_id:
Q6501447
Wikidata_label:
local government
Source:
IPTC Subject
Topic:
Defense
Score:
84.654
Magnitude:
72
Code:
16
Url:
https://fsc.al/cap-mc#16
Source:
Comparative Agendas
Topic:
Politics > Regional Authority
Score:
67
Magnitude:
0.118
Code:
11012000
Url:
https://cv.iptc.org/newscodes/subjectcode/11012000
Wikidata_id:
Q1802419
Wikidata_label:
state government
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
46.7
Gunning-Fog Score
18.7
Coleman-Liau Index
11.3
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
5.2
Sprache Readability Score
5
Dale-Chall Difficult Word Score
7
Sprache Difficult Word Count
10

Dianne Feinstein

FEMA conducted a study and reports that only one-fourth of all fire departments can communicate with other first responder safety employees -- only a quarter, and that is because of the inoperability of communications equipment, which we have tried to do something about in the supplemental appropriations bill. So that is a huge problem because you have an episode and everybody reports to a site and nobody can talk with one another. Only one-fourth of fire departments can communicate.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.94591
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
-0.275
Slightly Negative
Moderation
Harassment
0.0159257892
OpenAI Moderation v1 (007)
Hate
0.0038301547
OpenAI Moderation v1 (007)
Violence > Graphic
0.0031390686
OpenAI Moderation v1 (007)
Violence
0.0010109974
OpenAI Moderation v1 (007)
Sexual
0.0003639944
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001385476
OpenAI Moderation v1 (007)
Harassment > Threatening
2.31606E-5
OpenAI Moderation v1 (007)
Self-Harm
1.42183E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.18734E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
8.6253E-6
OpenAI Moderation v1 (007)
Hate > Threatening
1.3916E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Disaster and Accident > Fire
Score:
100
Magnitude:
0.071
Code:
3004000
Url:
https://cv.iptc.org/newscodes/subjectcode/03004000
Wikidata_id:
Q3196
Wikidata_label:
fire
Source:
IPTC Subject
Topic:
Defense
Score:
69.932
Magnitude:
28
Code:
16
Url:
https://fsc.al/cap-mc#16
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
29.6
Gunning-Fog Score
19
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
4.5
Sprache Readability Score
5
Dale-Chall Difficult Word Score
16
Sprache Difficult Word Count
22

Dianne Feinstein

According to the Coast Guard, our ports need $1.1 billion for seaport security this year and $5.4 billion during the next 10 years. In spite of this, as we all know, the President did not request any money for port security grants or any form of assistance to our ports in fiscal year 2003 and 2004.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.42857
Positive
Harvard-IV (Absolute)
0.42857
Positive
Harvard-IV (Logit)
0.78846
VADER
0.318
Somewhat Positive
Moderation
Violence
0.0952353294
OpenAI Moderation v1 (007)
Violence > Graphic
0.0126944826
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0040268002
OpenAI Moderation v1 (007)
Harassment
0.0015305191
OpenAI Moderation v1 (007)
Hate > Threatening
0.0008201085
OpenAI Moderation v1 (007)
Hate
0.0002749194
OpenAI Moderation v1 (007)
Sexual
8.01265E-5
OpenAI Moderation v1 (007)
Sexual > Minors
4.2024E-5
OpenAI Moderation v1 (007)
Self-Harm
2.57286E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.03598E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.508E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Health
Score:
57.105
Magnitude:
79
Code:
3
Url:
https://fsc.al/cap-mc#3
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
10.7
Flesch-Kincaid Ease
68.1
Gunning-Fog Score
14.8
Coleman-Liau Index
7.4
SMOG Index
12
Automated Readability Index
11.2
Dale-Chall Readability Score
5.6
Sprache Readability Score
5
Dale-Chall Difficult Word Score
15
Sprache Difficult Word Count
14

Dianne Feinstein

The American Public Transportation Association testified earlier this year that we need $6 billion in transit security, primarily in the areas of communications, surveillance, detection systems, personnel, and training. GAO recently reported, and I quote, "Insufficient funding is the most significant challenge in making transit systems safe and secure." In eight of the ten transit agencies surveyed, GAO found that $700 million was needed just in those eight to improve security.
Sentiment
Loughran McDonald (Relative)
-0.5
Very Negative
Loughran McDonald (Absolute)
-0.5
Very Negative
Loughran McDonald (Logit)
-0.8473
Harvard-IV (Relative)
0.46667
Positive
Harvard-IV (Absolute)
0.46667
Positive
Harvard-IV (Logit)
0.93827
VADER
0.928
Very Positive
Moderation
Violence > Graphic
0.0367226137
OpenAI Moderation v1 (007)
Violence
0.0190392457
OpenAI Moderation v1 (007)
Harassment
0.0096908836
OpenAI Moderation v1 (007)
Sexual
0.0013995501
OpenAI Moderation v1 (007)
Hate
0.0009566726
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001017638
OpenAI Moderation v1 (007)
Harassment > Threatening
7.46682E-5
OpenAI Moderation v1 (007)
Self-Harm
6.7988E-6
OpenAI Moderation v1 (007)
Hate > Threatening
1.8687E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
8.383E-7
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.453E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Transportation
Score:
45.81
Magnitude:
51
Code:
10
Url:
https://fsc.al/cap-mc#10
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
25.5
Gunning-Fog Score
17.9
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
8.5
Sprache Readability Score
5
Dale-Chall Difficult Word Score
33
Sprache Difficult Word Count
32

Dianne Feinstein

Using EPA data, the GAO found that 123 chemical facilities across the country, if attacked, could inflict serious damage and expose millions of people to toxic chemicals and gases. There are 3,000 chemical facilities in 49 States that, if attacked, could affect more than 10,000 people each. The Congressional Budget Office estimated that it will cost $80 million just to conduct vulnerability assessments associated with these chemical plants.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-2.3979
Harvard-IV (Relative)
-0.2
Slightly Negative
Harvard-IV (Absolute)
-0.2
Slightly Negative
Harvard-IV (Logit)
-0.36772
VADER
-0.9
Very Negative
Moderation
Violence > Graphic
0.239298516
OpenAI Moderation v1 (007)
Violence
0.0115433235
OpenAI Moderation v1 (007)
Harassment
0.0110127163
OpenAI Moderation v1 (007)
Sexual
0.0027696075
OpenAI Moderation v1 (007)
Hate
0.000828395
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0002788609
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001347934
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.83623E-5
OpenAI Moderation v1 (007)
Self-Harm
1.9344E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.41766E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.34769E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Environmental Issue > Hazardous Materials
Score:
100
Magnitude:
0.179
Code:
6012000
Url:
https://cv.iptc.org/newscodes/subjectcode/06012000
Wikidata_id:
Q757138
Wikidata_label:
hazardous substances
Source:
IPTC Subject
Topic:
Law and Crime
Score:
31.07
Magnitude:
69
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Topic:
Defense
Score:
25.872
Magnitude:
69
Code:
16
Url:
https://fsc.al/cap-mc#16
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
36.9
Gunning-Fog Score
17.9
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
7
Sprache Readability Score
5
Dale-Chall Difficult Word Score
26
Sprache Difficult Word Count
26

Dianne Feinstein

So I think there is really little question that we need to do more. I know, as you said, some of the money hasn't been spent, but the point that I am trying to make, and what I hear from police and fire and mayors and county supervisors everywhere is that we don't have the money to do what the Federal Government wants us to do. So I look forward to the testimony.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.60944
Harvard-IV (Relative)
-0.25
Slightly Negative
Harvard-IV (Absolute)
-0.25
Slightly Negative
Harvard-IV (Logit)
-0.45199
VADER
-0.477
Negative
Moderation
Harassment
1.1632137932
OpenAI Moderation v1 (007)
Violence
0.4269454163
OpenAI Moderation v1 (007)
Violence > Graphic
0.1099944348
OpenAI Moderation v1 (007)
Hate
0.0304849207
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0063151703
OpenAI Moderation v1 (007)
Hate > Threatening
0.000261231
OpenAI Moderation v1 (007)
Sexual
6.89355E-5
OpenAI Moderation v1 (007)
Sexual > Minors
1.3974E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.28552E-5
OpenAI Moderation v1 (007)
Self-Harm
1.18905E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
4.2344E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Disaster and Accident > Fire
Score:
100
Magnitude:
0.161
Code:
3004000
Url:
https://cv.iptc.org/newscodes/subjectcode/03004000
Wikidata_id:
Q3196
Wikidata_label:
fire
Source:
IPTC Subject
Topic:
Politics > Local Authority
Score:
89
Magnitude:
0.143
Code:
11008000
Url:
https://cv.iptc.org/newscodes/subjectcode/11008000
Wikidata_id:
Q6501447
Wikidata_label:
local government
Source:
IPTC Subject
Topic:
Environment
Score:
83.379
Magnitude:
63
Code:
7
Url:
https://fsc.al/cap-mc#7
Source:
Comparative Agendas
Topic:
Politics > Government
Score:
71
Magnitude:
0.114
Code:
11006000
Url:
https://cv.iptc.org/newscodes/subjectcode/11006000
Wikidata_id:
Q7188
Wikidata_label:
government
Source:
IPTC Subject
Topic:
Crime, Law and Justice > Police
Score:
65
Magnitude:
0.105
Code:
2003000
Url:
https://cv.iptc.org/newscodes/subjectcode/02003000
Wikidata_id:
Q35535
Wikidata_label:
police
Source:
IPTC Subject
Topic:
Crime, Law and Justice > Prosecution > Witness
Score:
56
Magnitude:
0.09
Code:
2009002
Url:
https://cv.iptc.org/newscodes/subjectcode/02009002
Wikidata_id:
Q196939
Wikidata_label:
witness
Source:
IPTC Subject
Topic:
Politics > Regional Authority
Score:
52
Magnitude:
0.084
Code:
11012000
Url:
https://cv.iptc.org/newscodes/subjectcode/11012000
Wikidata_id:
Q1802419
Wikidata_label:
state government
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
9.4
Flesch-Kincaid Ease
70.9
Gunning-Fog Score
11.9
Coleman-Liau Index
7.1
SMOG Index
11.3
Automated Readability Index
9.1
Dale-Chall Readability Score
2.5
Sprache Readability Score
4.8
Dale-Chall Difficult Word Score
6
Sprache Difficult Word Count
14

Jon Kyl

Thank you, Senator Feinstein.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.09861
VADER
0.361
Somewhat Positive
Moderation
Violence > Graphic
0.3442333313
OpenAI Moderation v1 (007)
Violence
0.1759426785
OpenAI Moderation v1 (007)
Harassment
0.0880100415
OpenAI Moderation v1 (007)
Self-Harm
0.0065024513
OpenAI Moderation v1 (007)
Hate
0.0017814209
OpenAI Moderation v1 (007)
Sexual
0.0011514236
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0006950633
OpenAI Moderation v1 (007)
Sexual > Minors
0.0005282842
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0002976183
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.61081E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.99819E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Government Operations
Score:
53.409
Magnitude:
73
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Topic:
Law and Crime
Score:
26.485
Magnitude:
73
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
6.6
Flesch-Kincaid Ease
54.7
Gunning-Fog Score
1.6
Coleman-Liau Index
12
SMOG Index
9
Automated Readability Index
8.8
Dale-Chall Readability Score
8.1
Sprache Readability Score
1.3
Dale-Chall Difficult Word Score
2
Sprache Difficult Word Count
2

Jon Kyl

Now, our first panel, and if I could ask both Representative Cox and Representative Turner to have a seat. They are well known to all of us. Congressman Christopher Cox is serving his eighth term in the United States House of Representatives representing the 48th Congressional District of California. He is Chairman of the House Select Committee on Homeland Security. He is also Chairman of the House Policy Committee. I referred earlier to the very important legislation which he has introduced and hope that he will refer to.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.5
Positive
Harvard-IV (Absolute)
0.5
Positive
Harvard-IV (Logit)
0.8473
VADER
0.882
Very Positive
Moderation
Violence
0.3840925172
OpenAI Moderation v1 (007)
Harassment
0.3202932421
OpenAI Moderation v1 (007)
Violence > Graphic
0.0712948269
OpenAI Moderation v1 (007)
Hate
0.0460211799
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0032523993
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0012783866
OpenAI Moderation v1 (007)
Self-Harm
0.0010254414
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0003878393
OpenAI Moderation v1 (007)
Sexual
5.03949E-5
OpenAI Moderation v1 (007)
Hate > Threatening
3.52866E-5
OpenAI Moderation v1 (007)
Sexual > Minors
2.15108E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Parliament
Score:
100
Magnitude:
0.257
Code:
11009000
Url:
https://cv.iptc.org/newscodes/subjectcode/11009000
Wikidata_id:
Q35749
Wikidata_label:
parliament
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
10
Flesch-Kincaid Ease
49.7
Gunning-Fog Score
8.6
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
9
Dale-Chall Readability Score
5.9
Sprache Readability Score
4.8
Dale-Chall Difficult Word Score
29
Sprache Difficult Word Count
29

Jon Kyl

Representative Jim Turner is serving his fourth term in Congress representing the 2nd Congressional District of Texas. He is the Ranking Member of the House Select Committee on Homeland Security, also a member of the House Armed Services Committee, where he has served as the Ranking Member of the Terrorism Subcommittee.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
-0.33333
Somewhat Negative
Harvard-IV (Absolute)
-0.33333
Somewhat Negative
Harvard-IV (Logit)
-0.58779
VADER
-0.494
Negative
Moderation
Violence
0.1397900516
OpenAI Moderation v1 (007)
Violence > Graphic
0.0486621255
OpenAI Moderation v1 (007)
Harassment
0.0035786481
OpenAI Moderation v1 (007)
Hate
0.0007259296
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0005205038
OpenAI Moderation v1 (007)
Sexual
6.77927E-5
OpenAI Moderation v1 (007)
Hate > Threatening
3.58805E-5
OpenAI Moderation v1 (007)
Sexual > Minors
3.58668E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
9.2442E-6
OpenAI Moderation v1 (007)
Self-Harm
6.8695E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.7687E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Unrest, Conflicts and War > Act of Terror
Score:
100
Magnitude:
0.062
Code:
16001000
Url:
https://cv.iptc.org/newscodes/subjectcode/16001000
Wikidata_id:
Q2223653
Wikidata_label:
terrorist attack
Source:
IPTC Subject
Topic:
Politics > Election
Score:
93
Magnitude:
0.058
Code:
11003000
Url:
https://cv.iptc.org/newscodes/subjectcode/11003000
Wikidata_id:
Q40231
Wikidata_label:
public election
Source:
IPTC Subject
Topic:
Economy, Business and Finance > Construction and Property
Score:
83
Magnitude:
0.052
Code:
4004000
Url:
https://cv.iptc.org/newscodes/subjectcode/04004000
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
30
Gunning-Fog Score
11
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
7.5
Sprache Readability Score
5
Dale-Chall Difficult Word Score
20
Sprache Difficult Word Count
22

Jon Kyl

Gentlemen, I welcome you both.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.09861
VADER
0.459
Positive
Moderation
Violence > Graphic
0.0654815172
OpenAI Moderation v1 (007)
Violence
0.0427385297
OpenAI Moderation v1 (007)
Harassment
0.0112926311
OpenAI Moderation v1 (007)
Sexual
0.0062322339
OpenAI Moderation v1 (007)
Hate
0.0002923271
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0001230992
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001093517
OpenAI Moderation v1 (007)
Self-Harm
6.35081E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
4.2571E-6
OpenAI Moderation v1 (007)
Hate > Threatening
9.727E-7
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.479E-7
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
5.2
Flesch-Kincaid Ease
66.4
Gunning-Fog Score
2
Coleman-Liau Index
12
SMOG Index
9
Automated Readability Index
3.7
Dale-Chall Readability Score
0.2
Sprache Readability Score
1.4
Dale-Chall Difficult Word Score
0
Sprache Difficult Word Count
2

Jon Kyl

Representative Cox.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
0
Neutral
Moderation
Violence
1.1573805474
OpenAI Moderation v1 (007)
Harassment
0.1243236009
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0203994729
OpenAI Moderation v1 (007)
Hate
0.0021846641
OpenAI Moderation v1 (007)
Violence > Graphic
0.0013326988
OpenAI Moderation v1 (007)
Sexual
0.0004368721
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0003515622
OpenAI Moderation v1 (007)
Hate > Threatening
0.0001560014
OpenAI Moderation v1 (007)
Self-Harm
0.0001439343
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001241961
OpenAI Moderation v1 (007)
Sexual > Minors
2.00541E-5
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
0
Gunning-Fog Score
0.8
Coleman-Liau Index
12
SMOG Index
9
Automated Readability Index
12
Dale-Chall Readability Score
10
Sprache Readability Score
1.1
Dale-Chall Difficult Word Score
2
Sprache Difficult Word Count
2

Jon Kyl

STATEMENT OF HON. CHRIS COX, A REPRESENTATIVE IN CONGRESS FROM
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
0
Neutral
Moderation
Harassment
0.1942534931
OpenAI Moderation v1 (007)
Violence > Graphic
0.1533159288
OpenAI Moderation v1 (007)
Violence
0.0548409938
OpenAI Moderation v1 (007)
Hate
0.0027667986
OpenAI Moderation v1 (007)
Sexual
0.0014264812
OpenAI Moderation v1 (007)
Sexual > Minors
0.0002406327
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0002320932
OpenAI Moderation v1 (007)
Self-Harm
0.0001124857
OpenAI Moderation v1 (007)
Self-Harm > Intent
4.55336E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.97701E-5
OpenAI Moderation v1 (007)
Hate > Threatening
6.702E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
5.2
Flesch-Kincaid Ease
66.4
Gunning-Fog Score
2
Coleman-Liau Index
12
SMOG Index
7.3
Automated Readability Index
5.1
Dale-Chall Readability Score
9.7
Sprache Readability Score
1.8
Dale-Chall Difficult Word Score
6
Sprache Difficult Word Count
6

Chris Cox

Thank you very much, Mr. Chairman and Senator Feinstein. We are, my Ranking Member and I, very pleased to be here with Warren Rudman, Dick Clarke, and Jamie Metzl because we, as you, are relying upon the very same experts. This study leads to certain predictable destinations and I think that the advice that you will receive on the next panel will be well worth listening to.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.94591
Harvard-IV (Relative)
0.6
Very Positive
Harvard-IV (Absolute)
0.6
Very Positive
Harvard-IV (Logit)
1.09861
VADER
0.755
Very Positive
Moderation
Violence
1.6273131594
OpenAI Moderation v1 (007)
Harassment
0.2400706289
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0573202618
OpenAI Moderation v1 (007)
Hate
0.0217687382
OpenAI Moderation v1 (007)
Violence > Graphic
0.0144570935
OpenAI Moderation v1 (007)
Hate > Threatening
0.0048416739
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001427191
OpenAI Moderation v1 (007)
Self-Harm
6.9256E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.35711E-5
OpenAI Moderation v1 (007)
Sexual
1.96149E-5
OpenAI Moderation v1 (007)
Sexual > Minors
4.4849E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Parliament
Score:
100
Magnitude:
0.072
Code:
11009000
Url:
https://cv.iptc.org/newscodes/subjectcode/11009000
Wikidata_id:
Q35749
Wikidata_label:
parliament
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
8.2
Flesch-Kincaid Ease
66.1
Gunning-Fog Score
8.5
Coleman-Liau Index
10.5
SMOG Index
9
Automated Readability Index
8
Dale-Chall Readability Score
5.3
Sprache Readability Score
4.5
Dale-Chall Difficult Word Score
19
Sprache Difficult Word Count
22

Chris Cox

We are here approximately on the 2-year anniversary of the September 11 attacks which, when they occurred, drew immediate attention to the urgent role of first responders -- the police, the firefighters, the emergency medical teams -- who are always the first on any crisis scene.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.60944
Harvard-IV (Relative)
-0.5
Very Negative
Harvard-IV (Absolute)
-0.5
Very Negative
Harvard-IV (Logit)
-0.8473
VADER
-0.832
Very Negative
Moderation
Violence
0.1538804849
OpenAI Moderation v1 (007)
Harassment
0.0120963305
OpenAI Moderation v1 (007)
Violence > Graphic
0.0022579699
OpenAI Moderation v1 (007)
Hate
0.0009238752
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0003555096
OpenAI Moderation v1 (007)
Sexual
0.0002919961
OpenAI Moderation v1 (007)
Hate > Threatening
8.97492E-5
OpenAI Moderation v1 (007)
Sexual > Minors
3.02969E-5
OpenAI Moderation v1 (007)
Self-Harm
2.96065E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
3.47E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.819E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Disaster and Accident > Relief and Aid Organization
Score:
100
Magnitude:
0.192
Code:
3012000
Url:
https://cv.iptc.org/newscodes/subjectcode/03012000
Wikidata_id:
Q11858035
Wikidata_label:
emergency response
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
20.2
Gunning-Fog Score
19
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
7.1
Sprache Readability Score
5
Dale-Chall Difficult Word Score
14
Sprache Difficult Word Count
16

Chris Cox

After that, the Nation's attention has also focused on the deficiencies in information-sharing within our Government, within the Federal Government, between and among FBI, CIA, and the other intelligence agencies, and also between Washington and State and local government.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.5
Positive
Harvard-IV (Absolute)
0.5
Positive
Harvard-IV (Logit)
0.8473
VADER
0.691
Very Positive
Moderation
Violence > Graphic
0.1876945491
OpenAI Moderation v1 (007)
Harassment
0.1472209115
OpenAI Moderation v1 (007)
Violence
0.103017292
OpenAI Moderation v1 (007)
Hate
0.0092566042
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0023217282
OpenAI Moderation v1 (007)
Sexual
0.0011927126
OpenAI Moderation v1 (007)
Self-Harm
0.0008268015
OpenAI Moderation v1 (007)
Sexual > Minors
0.000778824
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0002355848
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0002017975
OpenAI Moderation v1 (007)
Hate > Threatening
8.65337E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Government
Score:
100
Magnitude:
0.371
Code:
11006000
Url:
https://cv.iptc.org/newscodes/subjectcode/11006000
Wikidata_id:
Q7188
Wikidata_label:
government
Source:
IPTC Subject
Topic:
Politics > Espionage and Intelligence
Score:
79
Magnitude:
0.294
Code:
11004000
Url:
https://cv.iptc.org/newscodes/subjectcode/11004000
Wikidata_id:
Q165950
Wikidata_label:
espionage
Source:
IPTC Subject
Topic:
Defense
Score:
72.236
Magnitude:
45
Code:
16
Url:
https://fsc.al/cap-mc#16
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
3.4
Gunning-Fog Score
19
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
7.5
Sprache Readability Score
5
Dale-Chall Difficult Word Score
14
Sprache Difficult Word Count
15

Chris Cox

Together, these two crucial elements -- first responders and intelligence of homeland security -- are inextricably linked because information about an attack that reaches the front lines of local authorities in real time could potentially reduce its impact, if not stop it entirely.
Sentiment
Loughran McDonald (Relative)
-0.33333
Somewhat Negative
Loughran McDonald (Absolute)
-0.33333
Somewhat Negative
Loughran McDonald (Logit)
-0.51083
Harvard-IV (Relative)
0.33333
Somewhat Positive
Harvard-IV (Absolute)
0.33333
Somewhat Positive
Harvard-IV (Logit)
0.58779
VADER
0.45
Positive
Moderation
Violence
0.1863685669
OpenAI Moderation v1 (007)
Harassment
0.0590441923
OpenAI Moderation v1 (007)
Violence > Graphic
0.031388324
OpenAI Moderation v1 (007)
Hate
0.0141749668
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0047977206
OpenAI Moderation v1 (007)
Sexual
0.0003013492
OpenAI Moderation v1 (007)
Sexual > Minors
8.0262E-5
OpenAI Moderation v1 (007)
Hate > Threatening
4.37006E-5
OpenAI Moderation v1 (007)
Self-Harm
7.6117E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
9.654E-7
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.774E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Regional Authority
Score:
100
Magnitude:
0.198
Code:
11012000
Url:
https://cv.iptc.org/newscodes/subjectcode/11012000
Wikidata_id:
Q1802419
Wikidata_label:
state government
Source:
IPTC Subject
Topic:
Law and Crime
Score:
60.858
Magnitude:
39
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Topic:
Crime, Law and Justice > Police
Score:
53
Magnitude:
0.104
Code:
2003000
Url:
https://cv.iptc.org/newscodes/subjectcode/02003000
Wikidata_id:
Q35535
Wikidata_label:
police
Source:
IPTC Subject
Topic:
Politics > Local Authority
Score:
52
Magnitude:
0.102
Code:
11008000
Url:
https://cv.iptc.org/newscodes/subjectcode/11008000
Wikidata_id:
Q6501447
Wikidata_label:
local government
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
6.3
Gunning-Fog Score
19
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
7.8
Sprache Readability Score
5
Dale-Chall Difficult Word Score
15
Sprache Difficult Word Count
16

Chris Cox

In the 2 years since September 11, the focus on first responders has generated a growing awareness that Federal money isn't reaching the first responders where it is needed. Our House Committee on Homeland Security has held hearings here in Washington and in the field, and the answers have come back routinely and predictably. Even though Congress has appropriated $14 billion in first responder monies since September 11, time and time again the people whom you would expect to have that money at the local level do not have it.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.66667
Very Positive
Harvard-IV (Absolute)
0.66667
Very Positive
Harvard-IV (Logit)
1.29928
VADER
0.434
Positive
Moderation
Violence
0.3136866027
OpenAI Moderation v1 (007)
Harassment
0.2636176068
OpenAI Moderation v1 (007)
Hate
0.0096285963
OpenAI Moderation v1 (007)
Violence > Graphic
0.006134079
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0020885473
OpenAI Moderation v1 (007)
Sexual
0.0001765323
OpenAI Moderation v1 (007)
Self-Harm
0.000172528
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0001275242
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.111E-5
OpenAI Moderation v1 (007)
Hate > Threatening
5.4329E-6
OpenAI Moderation v1 (007)
Sexual > Minors
3.769E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Defense
Score:
73.815
Magnitude:
43
Code:
16
Url:
https://fsc.al/cap-mc#16
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
45.7
Gunning-Fog Score
16
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
5.5
Sprache Readability Score
5
Dale-Chall Difficult Word Score
23
Sprache Difficult Word Count
25

Chris Cox

While much of the discussion has focused on calls for ever higher levels of spending, Mr. Chairman, as you pointed out, an even greater problem -- and, Senator Feinstein, you in your opening statement pointed out this same problem -- is that information gathered by counterterrorism experts, at significant taxpayer expense it is worthwhile to add, is ignored in the disbursement process.
Sentiment
Loughran McDonald (Relative)
-0.2
Slightly Negative
Loughran McDonald (Absolute)
-0.2
Slightly Negative
Loughran McDonald (Logit)
-0.33647
Harvard-IV (Relative)
-0.09091
Neutral
Harvard-IV (Absolute)
-0.09091
Neutral
Harvard-IV (Logit)
-0.16705
VADER
0.511
Very Positive
Moderation
Violence
0.2338148188
OpenAI Moderation v1 (007)
Violence > Graphic
0.0705512066
OpenAI Moderation v1 (007)
Harassment
0.0219076639
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0021928046
OpenAI Moderation v1 (007)
Hate
0.0012316895
OpenAI Moderation v1 (007)
Sexual
0.0009858183
OpenAI Moderation v1 (007)
Self-Harm
8.69037E-5
OpenAI Moderation v1 (007)
Sexual > Minors
8.32283E-5
OpenAI Moderation v1 (007)
Hate > Threatening
3.06081E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.63721E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.56356E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Parliament
Score:
100
Magnitude:
0.113
Code:
11009000
Url:
https://cv.iptc.org/newscodes/subjectcode/11009000
Wikidata_id:
Q35749
Wikidata_label:
parliament
Source:
IPTC Subject
Topic:
Defense
Score:
63.26
Magnitude:
86
Code:
16
Url:
https://fsc.al/cap-mc#16
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
29.7
Gunning-Fog Score
18
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
8.3
Sprache Readability Score
5
Dale-Chall Difficult Word Score
26
Sprache Difficult Word Count
24

Chris Cox

The present grant system for first responders is similar to the one that the Federal Government uses for paving roads and responding to mudslides. Political formulas based on parity and population rather than intelligence on terrorist plans and intentions determines where the billions go. Such an archaic approach to the challenges posed by international terrorism is courting disaster.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-2.19722
Harvard-IV (Relative)
0.25
Slightly Positive
Harvard-IV (Absolute)
0.25
Slightly Positive
Harvard-IV (Logit)
0.45199
VADER
-0.859
Very Negative
Moderation
Harassment
2.2454028949
OpenAI Moderation v1 (007)
Violence
1.6545595601
OpenAI Moderation v1 (007)
Hate
0.0862904941
OpenAI Moderation v1 (007)
Violence > Graphic
0.0358600373
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0350422051
OpenAI Moderation v1 (007)
Hate > Threatening
0.0010131546
OpenAI Moderation v1 (007)
Sexual
0.0001075187
OpenAI Moderation v1 (007)
Self-Harm
3.71192E-5
OpenAI Moderation v1 (007)
Sexual > Minors
6.6235E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
4.0764E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.0713E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Government
Score:
100
Magnitude:
0.353
Code:
11006000
Url:
https://cv.iptc.org/newscodes/subjectcode/11006000
Wikidata_id:
Q7188
Wikidata_label:
government
Source:
IPTC Subject
Topic:
Defense
Score:
77.089
Magnitude:
62
Code:
16
Url:
https://fsc.al/cap-mc#16
Source:
Comparative Agendas
Topic:
Politics > Politics (General) > Political Systems
Score:
66
Magnitude:
0.232
Code:
11024001
Url:
https://cv.iptc.org/newscodes/subjectcode/11024001
Wikidata_id:
Q28108
Wikidata_label:
political system
Source:
IPTC Subject
Topic:
Unrest, Conflicts and War > Act of Terror
Score:
53
Magnitude:
0.187
Code:
16001000
Url:
https://cv.iptc.org/newscodes/subjectcode/16001000
Wikidata_id:
Q2223653
Wikidata_label:
terrorist attack
Source:
IPTC Subject
Topic:
Disaster and Accident > Transport Accident > Road Accident
Score:
51
Magnitude:
0.181
Code:
3010001
Url:
https://cv.iptc.org/newscodes/subjectcode/03010001
Wikidata_id:
Q9687
Wikidata_label:
traffic collision
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
23.8
Gunning-Fog Score
18.8
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
8
Sprache Readability Score
5
Dale-Chall Difficult Word Score
26
Sprache Difficult Word Count
28

Chris Cox

In Washington, once it became clear that important first responder needs were going begging, the usual political blame game ensued. The politically expedient course, of course, was to demand that the Department of Homeland Security use the dozens of existing formulas, the ones that it inherited from the 22 agencies that were folded into DHS, so that the money could go quickly.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.33333
Somewhat Positive
Harvard-IV (Absolute)
0.33333
Somewhat Positive
Harvard-IV (Logit)
0.63599
VADER
0.44
Positive
Moderation
Violence
0.1279004035
OpenAI Moderation v1 (007)
Harassment
0.0292635901
OpenAI Moderation v1 (007)
Violence > Graphic
0.0286928756
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0074402742
OpenAI Moderation v1 (007)
Hate
0.0054617136
OpenAI Moderation v1 (007)
Sexual
7.37151E-5
OpenAI Moderation v1 (007)
Hate > Threatening
4.57645E-5
OpenAI Moderation v1 (007)
Sexual > Minors
1.20477E-5
OpenAI Moderation v1 (007)
Self-Harm
1.0947E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.3525E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.4821E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Defense
Score:
79.335
Magnitude:
58
Code:
16
Url:
https://fsc.al/cap-mc#16
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
33.5
Gunning-Fog Score
18.9
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
6.1
Sprache Readability Score
5
Dale-Chall Difficult Word Score
18
Sprache Difficult Word Count
22

Chris Cox

But these were complicated and eccentric formulas. They were complicated and eccentric because they were built by the political class to meet political needs. Thus, the grant formula for fighting fires now serves double duty for homeland security. But this and other such formulas have nothing to do with objective measurements of the relative risks of terrorism attack.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-2.19722
Harvard-IV (Relative)
-0.29412
Slightly Negative
Harvard-IV (Absolute)
-0.29412
Slightly Negative
Harvard-IV (Logit)
-0.57054
VADER
-0.813
Very Negative
Moderation
Harassment
6.7991435528
OpenAI Moderation v1 (007)
Violence
5.8501705527
OpenAI Moderation v1 (007)
Hate
0.6047300994
OpenAI Moderation v1 (007)
Harassment > Threatening
0.1581289922
OpenAI Moderation v1 (007)
Violence > Graphic
0.0387296634
OpenAI Moderation v1 (007)
Hate > Threatening
0.0020455578
OpenAI Moderation v1 (007)
Sexual
6.31083E-5
OpenAI Moderation v1 (007)
Self-Harm
5.36064E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.83877E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.7817E-6
OpenAI Moderation v1 (007)
Sexual > Minors
1.5945E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Unrest, Conflicts and War > Act of Terror
Score:
100
Magnitude:
0.138
Code:
16001000
Url:
https://cv.iptc.org/newscodes/subjectcode/16001000
Wikidata_id:
Q2223653
Wikidata_label:
terrorist attack
Source:
IPTC Subject
Topic:
Politics > Politics (General)
Score:
93
Magnitude:
0.129
Code:
11024000
Url:
https://cv.iptc.org/newscodes/subjectcode/11024000
Wikidata_id:
Q11827330
Wikidata_label:
political process
Source:
IPTC Subject
Topic:
Law and Crime
Score:
80.923
Magnitude:
61
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Topic:
Sport > Motor Racing > Formula One
Score:
76
Magnitude:
0.105
Code:
15039001
Url:
https://cv.iptc.org/newscodes/subjectcode/15039001
Wikidata_id:
Q1968
Wikidata_label:
Formula One
Source:
IPTC Subject
Topic:
Sport > Tennis
Score:
75
Magnitude:
0.103
Code:
15065000
Url:
https://cv.iptc.org/newscodes/subjectcode/15065000
Wikidata_id:
Q847
Wikidata_label:
tennis
Source:
IPTC Subject
Topic:
Disaster and Accident > Fire
Score:
72
Magnitude:
0.099
Code:
3004000
Url:
https://cv.iptc.org/newscodes/subjectcode/03004000
Wikidata_id:
Q3196
Wikidata_label:
fire
Source:
IPTC Subject
Topic:
Social Issue > Family
Score:
71
Magnitude:
0.099
Code:
14006000
Url:
https://cv.iptc.org/newscodes/subjectcode/14006000
Wikidata_id:
Q8436
Wikidata_label:
family
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
10.6
Flesch-Kincaid Ease
44.8
Gunning-Fog Score
16.1
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
10.8
Dale-Chall Readability Score
6.4
Sprache Readability Score
4.1
Dale-Chall Difficult Word Score
21
Sprache Difficult Word Count
20

Chris Cox

Inserting intelligence into the equation for our emergency responders is an area where Congress -- the Senate and the House, this Subcommittee, our Select Committee -- can and should exert its influence. If Americans are to be protected against the next terrorist attack, local police, firefighters, and emergency medical personnel must be prepared as never before. They must have the equipment and the training to respond to a variety of new threats, in addition to the more traditional emergencies.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
0.09091
Neutral
Harvard-IV (Absolute)
0.09091
Neutral
Harvard-IV (Logit)
0.16705
VADER
-0.836
Very Negative
Moderation
Violence
0.2425622428
OpenAI Moderation v1 (007)
Harassment
0.032113053
OpenAI Moderation v1 (007)
Violence > Graphic
0.0259318156
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0037952897
OpenAI Moderation v1 (007)
Hate
0.0022575587
OpenAI Moderation v1 (007)
Hate > Threatening
0.0001628128
OpenAI Moderation v1 (007)
Self-Harm
1.08567E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
7.8555E-6
OpenAI Moderation v1 (007)
Sexual
5.5811E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.148E-6
OpenAI Moderation v1 (007)
Sexual > Minors
1.975E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Disaster and Accident > Relief and Aid Organization
Score:
100
Magnitude:
0.134
Code:
3012000
Url:
https://cv.iptc.org/newscodes/subjectcode/03012000
Wikidata_id:
Q11858035
Wikidata_label:
emergency response
Source:
IPTC Subject
Topic:
Defense
Score:
80.234
Magnitude:
58
Code:
16
Url:
https://fsc.al/cap-mc#16
Source:
Comparative Agendas
Topic:
Health > Medical Staff
Score:
74
Magnitude:
0.099
Code:
7006000
Url:
https://cv.iptc.org/newscodes/subjectcode/07006000
Wikidata_id:
Q69948433
Wikidata_label:
medical staff
Source:
IPTC Subject
Topic:
Politics > Parliament
Score:
69
Magnitude:
0.092
Code:
11009000
Url:
https://cv.iptc.org/newscodes/subjectcode/11009000
Wikidata_id:
Q35749
Wikidata_label:
parliament
Source:
IPTC Subject
Topic:
Unrest, Conflicts and War > Act of Terror
Score:
67
Magnitude:
0.09
Code:
16001000
Url:
https://cv.iptc.org/newscodes/subjectcode/16001000
Wikidata_id:
Q2223653
Wikidata_label:
terrorist attack
Source:
IPTC Subject
Topic:
Disaster and Accident > Emergency Incident
Score:
59
Magnitude:
0.078
Code:
3014000
Url:
https://cv.iptc.org/newscodes/subjectcode/03014000
Wikidata_id:
Q5070802
Wikidata_label:
emergency
Source:
IPTC Subject
Topic:
Crime, Law and Justice > Police
Score:
53
Magnitude:
0.071
Code:
2003000
Url:
https://cv.iptc.org/newscodes/subjectcode/02003000
Wikidata_id:
Q35535
Wikidata_label:
police
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
24.8
Gunning-Fog Score
18.6
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
7.4
Sprache Readability Score
5
Dale-Chall Difficult Word Score
30
Sprache Difficult Word Count
30

Chris Cox

All sides are agreed that this takes money, and Congress has thus far responded. Since that terrible day in September 2 years ago, as I mentioned, Congress has appropriated over $14 billion for first responders alone. That is an increase of over 1,000 percent. Even for Washington, this is an incredible amount of money.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.09861
Harvard-IV (Relative)
-0.33333
Somewhat Negative
Harvard-IV (Absolute)
-0.33333
Somewhat Negative
Harvard-IV (Logit)
-0.51083
VADER
-0.178
Leans Negative
Moderation
Violence
0.0059279555
OpenAI Moderation v1 (007)
Violence > Graphic
0.0019418849
OpenAI Moderation v1 (007)
Harassment
0.0019005687
OpenAI Moderation v1 (007)
Sexual
0.0015359556
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0009928112
OpenAI Moderation v1 (007)
Sexual > Minors
0.0002365603
OpenAI Moderation v1 (007)
Hate
2.18466E-5
OpenAI Moderation v1 (007)
Self-Harm
1.17765E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
4.4347E-6
OpenAI Moderation v1 (007)
Hate > Threatening
4.4341E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.677E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Politics
Score:
100
Magnitude:
0.055
Code:
11000000
Url:
https://cv.iptc.org/newscodes/subjectcode/11000000
Wikidata_id:
Q7163
Wikidata_label:
politics
Source:
IPTC Subject
Topic:
Defense
Score:
86.053
Magnitude:
79
Code:
16
Url:
https://fsc.al/cap-mc#16
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
7.8
Flesch-Kincaid Ease
63.7
Gunning-Fog Score
9.9
Coleman-Liau Index
11
SMOG Index
11.3
Automated Readability Index
6.9
Dale-Chall Readability Score
4.7
Sprache Readability Score
3.6
Dale-Chall Difficult Word Score
14
Sprache Difficult Word Count
15

Chris Cox

But the fact that such large sums are involved only accentuates the importance of spending this money wisely. It is a truism that if you send the money to the wrong place, then the important needs are underfunded no matter how much you spend. That means all funds should be disbursed on the basis of hard-nosed threat assessment.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.94591
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
-0.649
Very Negative
Moderation
Sexual
0.0152061883
OpenAI Moderation v1 (007)
Violence
0.0016709579
OpenAI Moderation v1 (007)
Sexual > Minors
0.0009097133
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0004785624
OpenAI Moderation v1 (007)
Self-Harm
0.0004060161
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001925024
OpenAI Moderation v1 (007)
Violence > Graphic
0.0001583058
OpenAI Moderation v1 (007)
Harassment
8.17918E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.3806E-6
OpenAI Moderation v1 (007)
Hate
3.0759E-6
OpenAI Moderation v1 (007)
Hate > Threatening
7.297E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Health
Score:
35.797
Magnitude:
51
Code:
3
Url:
https://fsc.al/cap-mc#3
Source:
Comparative Agendas
Topic:
Defense
Score:
24.591
Magnitude:
51
Code:
16
Url:
https://fsc.al/cap-mc#16
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
8.5
Flesch-Kincaid Ease
69.3
Gunning-Fog Score
11.3
Coleman-Liau Index
10.8
SMOG Index
10.6
Automated Readability Index
9.7
Dale-Chall Readability Score
4.5
Sprache Readability Score
4.2
Dale-Chall Difficult Word Score
13
Sprache Difficult Word Count
14

Chris Cox

Currently, Federal funding for first responders is parceled out among the States with a guaranteed minimum for every State, presumably because every State has two Senators. One obvious distortion is that California receives less than $5 per person in first responder grants, as Senator Feinstein has just pointed out, whereas, for example, Wyoming receives over $35. The same result obtains in other large States, including New York.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
0.226
Slightly Positive
Moderation
Sexual
0.0021780823
OpenAI Moderation v1 (007)
Harassment
0.0008561364
OpenAI Moderation v1 (007)
Violence > Graphic
0.0005019189
OpenAI Moderation v1 (007)
Violence
0.0004896486
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001093187
OpenAI Moderation v1 (007)
Harassment > Threatening
8.5305E-5
OpenAI Moderation v1 (007)
Hate
2.42204E-5
OpenAI Moderation v1 (007)
Self-Harm
1.29245E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.08425E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
5.4551E-6
OpenAI Moderation v1 (007)
Hate > Threatening
3.6468E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Parliament
Score:
100
Magnitude:
0.127
Code:
11009000
Url:
https://cv.iptc.org/newscodes/subjectcode/11009000
Wikidata_id:
Q35749
Wikidata_label:
parliament
Source:
IPTC Subject
Topic:
Macroeconomics
Score:
43.949
Magnitude:
58
Code:
1
Url:
https://fsc.al/cap-mc#1
Source:
Comparative Agendas
Topic:
Government Operations
Score:
41.411
Magnitude:
58
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
37.7
Gunning-Fog Score
15.5
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
7.2
Sprache Readability Score
5
Dale-Chall Difficult Word Score
26
Sprache Difficult Word Count
26

Chris Cox

Equally unjustifiable, however, is that with rare exception the remainder of the funds are allocated only according to the population. While larger concentrations of population may indeed be terror targets, this is a very unsophisticated approach to what should be an intelligence-driven process.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
0.5
Positive
Harvard-IV (Absolute)
0.5
Positive
Harvard-IV (Logit)
0.95551
VADER
-0.706
Very Negative
Moderation
Sexual
0.021981039
OpenAI Moderation v1 (007)
Violence
0.0089160043
OpenAI Moderation v1 (007)
Violence > Graphic
0.0048098056
OpenAI Moderation v1 (007)
Harassment
0.0017525106
OpenAI Moderation v1 (007)
Sexual > Minors
0.0012035113
OpenAI Moderation v1 (007)
Hate
0.000884665
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0002724303
OpenAI Moderation v1 (007)
Hate > Threatening
0.0001568146
OpenAI Moderation v1 (007)
Self-Harm
1.5367E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.0583E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
5.5402E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Unrest, Conflicts and War > Civil Unrest
Score:
100
Magnitude:
0.073
Code:
16003000
Url:
https://cv.iptc.org/newscodes/subjectcode/16003000
Wikidata_id:
Q686984
Wikidata_label:
civil disorder
Source:
IPTC Subject
Topic:
Health
Score:
25.711
Magnitude:
65
Code:
3
Url:
https://fsc.al/cap-mc#3
Source:
Comparative Agendas
Topic:
Defense
Score:
22.43
Magnitude:
65
Code:
16
Url:
https://fsc.al/cap-mc#16
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
15.3
Gunning-Fog Score
18.8
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
7.6
Sprache Readability Score
4.9
Dale-Chall Difficult Word Score
18
Sprache Difficult Word Count
19

Chris Cox

Small-population farm States such as Iowa and Nebraska can legitimately claim attention because of their responsibilities for the Nation's food supply. Regions such as Alaska and Wyoming that have few people are thick with defense assets, energy, and other productive infrastructure. Sorting out these competing claims must be achieved through rigorous threat assessments, not political tradeoffs.
Sentiment
Loughran McDonald (Relative)
-0.6
Very Negative
Loughran McDonald (Absolute)
-0.6
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
0.53846
Very Positive
Harvard-IV (Absolute)
0.53846
Very Positive
Harvard-IV (Logit)
1.09861
VADER
-0.296
Slightly Negative
Moderation
Hate
0.006819579
OpenAI Moderation v1 (007)
Harassment
0.0065913337
OpenAI Moderation v1 (007)
Violence
0.0026838399
OpenAI Moderation v1 (007)
Violence > Graphic
0.00095928
OpenAI Moderation v1 (007)
Sexual
0.0003226493
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0001827617
OpenAI Moderation v1 (007)
Sexual > Minors
5.89456E-5
OpenAI Moderation v1 (007)
Self-Harm
5.0255E-6
OpenAI Moderation v1 (007)
Hate > Threatening
3.1446E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.201E-7
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.36E-8
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance > Energy and Resource
Score:
100
Magnitude:
0.101
Code:
4005000
Url:
https://cv.iptc.org/newscodes/subjectcode/04005000
Wikidata_id:
Q2151621
Wikidata_label:
energy industry
Source:
IPTC Subject
Topic:
Social Issue > People
Score:
57
Magnitude:
0.058
Code:
14024000
Url:
https://cv.iptc.org/newscodes/subjectcode/14024000
Wikidata_id:
Q1156970
Wikidata_label:
humanity
Source:
IPTC Subject
Topic:
Law and Crime
Score:
54.695
Magnitude:
43
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Topic:
Defense
Score:
32.368
Magnitude:
43
Code:
16
Url:
https://fsc.al/cap-mc#16
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
28.7
Gunning-Fog Score
16.7
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
7.6
Sprache Readability Score
5
Dale-Chall Difficult Word Score
24
Sprache Difficult Word Count
25

Chris Cox

Just as rickety as the funding formulas and just as much in need of reform is the grant application process for first responder monies. Currently, applicants are forced to follow a convoluted 12-step process in order to receive a portion of the money that Congress has already made available to them.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
-0.128
Leans Negative
Moderation
Violence > Graphic
0.018656539
OpenAI Moderation v1 (007)
Sexual
0.0141608485
OpenAI Moderation v1 (007)
Violence
0.0062124804
OpenAI Moderation v1 (007)
Harassment
0.0012783866
OpenAI Moderation v1 (007)
Sexual > Minors
0.0004482938
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001011501
OpenAI Moderation v1 (007)
Harassment > Threatening
9.93102E-5
OpenAI Moderation v1 (007)
Self-Harm
8.75215E-5
OpenAI Moderation v1 (007)
Hate
3.38487E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.6814E-5
OpenAI Moderation v1 (007)
Hate > Threatening
2.1726E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Agriculture
Score:
92.108
Magnitude:
56
Code:
4
Url:
https://fsc.al/cap-mc#4
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
45.4
Gunning-Fog Score
17.3
Coleman-Liau Index
11.8
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
6.5
Sprache Readability Score
5
Dale-Chall Difficult Word Score
17
Sprache Difficult Word Count
17

Chris Cox

Localities wait months to be reimbursed for funds they have already been forced to spend by Federal mandate. This outdated grant system results in delays and funding distortions that do nothing but exacerbate the risks we face.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-2.3979
Harvard-IV (Relative)
-1
Very Negative
Harvard-IV (Absolute)
-1
Very Negative
Harvard-IV (Logit)
-1.94591
VADER
-0.44
Negative
Moderation
Harassment
0.0037379734
OpenAI Moderation v1 (007)
Sexual
0.0014477747
OpenAI Moderation v1 (007)
Violence
0.0004261607
OpenAI Moderation v1 (007)
Hate
5.79353E-5
OpenAI Moderation v1 (007)
Self-Harm
4.35152E-5
OpenAI Moderation v1 (007)
Violence > Graphic
2.09465E-5
OpenAI Moderation v1 (007)
Harassment > Threatening
1.68913E-5
OpenAI Moderation v1 (007)
Sexual > Minors
1.21247E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.14456E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.4767E-6
OpenAI Moderation v1 (007)
Hate > Threatening
1.041E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Government Operations
Score:
20.495
Magnitude:
51
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
10.1
Flesch-Kincaid Ease
55.4
Gunning-Fog Score
11.7
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
11.9
Dale-Chall Readability Score
7.3
Sprache Readability Score
4.1
Dale-Chall Difficult Word Score
15
Sprache Difficult Word Count
15

Chris Cox

Expending extravagant amounts to purchase items we don't need in places that don't need them is not homeland security. It does not protect those who are most at risk. To determine how to prioritize our first responder grant assistance, sound threat assessment must be the basis for Federal grants.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
0.25
Slightly Positive
Harvard-IV (Absolute)
0.25
Slightly Positive
Harvard-IV (Logit)
0.45199
VADER
-0.504
Very Negative
Moderation
Self-Harm > Intent
2.9663765803
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.7037019134
OpenAI Moderation v1 (007)
Self-Harm
1.4028377831
OpenAI Moderation v1 (007)
Sexual > Minors
0.9445787407
OpenAI Moderation v1 (007)
Sexual
0.9086475708
OpenAI Moderation v1 (007)
Hate
0.6548424717
OpenAI Moderation v1 (007)
Harassment
0.2246582182
OpenAI Moderation v1 (007)
Hate > Threatening
0.1439707703
OpenAI Moderation v1 (007)
Violence
0.1294602291
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0910274219
OpenAI Moderation v1 (007)
Violence > Graphic
0.0487309851
OpenAI Moderation v1 (007)
Topics
Topic:
Government Operations
Score:
51.971
Magnitude:
37
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Topic:
Macroeconomics
Score:
23.351
Magnitude:
37
Code:
1
Url:
https://fsc.al/cap-mc#1
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
9.6
Flesch-Kincaid Ease
55.6
Gunning-Fog Score
13.1
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
10.1
Dale-Chall Readability Score
6.3
Sprache Readability Score
4
Dale-Chall Difficult Word Score
17
Sprache Difficult Word Count
17

Chris Cox

Here is how it could work. States, as well as multi-state and interstate regions, would determine their vulnerabilities on an ongoing basis. Simultaneously, the Federal Government would complete and constantly update its national vulnerability assessment. States and regions that develop their own homeland security first responder plans would be able to apply directly to the Department of Homeland Security to meet their specific regional needs.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.60944
Harvard-IV (Relative)
0.6
Very Positive
Harvard-IV (Absolute)
0.6
Very Positive
Harvard-IV (Logit)
1.09861
VADER
0.527
Very Positive
Moderation
Sexual
0.0204499709
OpenAI Moderation v1 (007)
Violence
0.0157933348
OpenAI Moderation v1 (007)
Violence > Graphic
0.0114166796
OpenAI Moderation v1 (007)
Sexual > Minors
0.0029535846
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0029000685
OpenAI Moderation v1 (007)
Harassment
0.001252468
OpenAI Moderation v1 (007)
Self-Harm
0.0004017738
OpenAI Moderation v1 (007)
Hate
7.19225E-5
OpenAI Moderation v1 (007)
Hate > Threatening
5.2304E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
4.46065E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
8.0663E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Defense > National Security
Score:
100
Magnitude:
0.104
Code:
11001002
Url:
https://cv.iptc.org/newscodes/subjectcode/11001002
Wikidata_id:
Q258307
Wikidata_label:
national security
Source:
IPTC Subject
Topic:
Labor > Health and Safety at Work
Score:
85
Magnitude:
0.089
Code:
9013000
Url:
https://cv.iptc.org/newscodes/subjectcode/09013000
Wikidata_id:
Q629029
Wikidata_label:
occupational health and safety
Source:
IPTC Subject
Topic:
Defense
Score:
84.836
Magnitude:
49
Code:
16
Url:
https://fsc.al/cap-mc#16
Source:
Comparative Agendas
Topic:
Politics > Government
Score:
79
Magnitude:
0.082
Code:
11006000
Url:
https://cv.iptc.org/newscodes/subjectcode/11006000
Wikidata_id:
Q7188
Wikidata_label:
government
Source:
IPTC Subject
Topic:
Politics > Government > National Government
Score:
53
Magnitude:
0.055
Code:
11006004
Url:
https://cv.iptc.org/newscodes/subjectcode/11006004
Wikidata_id:
Q1320217
Wikidata_label:
central government
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
29.9
Gunning-Fog Score
15.7
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
7.3
Sprache Readability Score
4.7
Dale-Chall Difficult Word Score
27
Sprache Difficult Word Count
25

Chris Cox

The Department would match the State and local vulnerability assessments against all the Federal Government knows about our terrorist enemies and our National vulnerabilities. Federal first responder grant assistance would flow to where the risk is greatest.
Sentiment
Loughran McDonald (Relative)
-0.33333
Somewhat Negative
Loughran McDonald (Absolute)
-0.33333
Somewhat Negative
Loughran McDonald (Logit)
-0.51083
Harvard-IV (Relative)
0.33333
Somewhat Positive
Harvard-IV (Absolute)
0.33333
Somewhat Positive
Harvard-IV (Logit)
0.51083
VADER
-0.7
Very Negative
Moderation
Violence
0.0503573858
OpenAI Moderation v1 (007)
Violence > Graphic
0.043301229
OpenAI Moderation v1 (007)
Sexual
0.0088615787
OpenAI Moderation v1 (007)
Harassment
0.0040559633
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0006619478
OpenAI Moderation v1 (007)
Sexual > Minors
0.0004143566
OpenAI Moderation v1 (007)
Hate
9.702E-5
OpenAI Moderation v1 (007)
Hate > Threatening
5.54079E-5
OpenAI Moderation v1 (007)
Self-Harm
4.59021E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.33989E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
8.942E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Government
Score:
100
Magnitude:
0.082
Code:
11006000
Url:
https://cv.iptc.org/newscodes/subjectcode/11006000
Wikidata_id:
Q7188
Wikidata_label:
government
Source:
IPTC Subject
Topic:
Unrest, Conflicts and War > Act of Terror
Score:
98
Magnitude:
0.081
Code:
16001000
Url:
https://cv.iptc.org/newscodes/subjectcode/16001000
Wikidata_id:
Q2223653
Wikidata_label:
terrorist attack
Source:
IPTC Subject
Topic:
Unrest, Conflicts and War > War
Score:
83
Magnitude:
0.068
Code:
16009000
Url:
https://cv.iptc.org/newscodes/subjectcode/16009000
Wikidata_id:
Q198
Wikidata_label:
war
Source:
IPTC Subject
Topic:
Crime, Law and Justice > Crime > Terrorism
Score:
63
Magnitude:
0.052
Code:
2001010
Url:
https://cv.iptc.org/newscodes/subjectcode/02001010
Wikidata_id:
Q7283
Wikidata_label:
terrorism
Source:
IPTC Subject
Topic:
Defense
Score:
56.095
Magnitude:
65
Code:
16
Url:
https://fsc.al/cap-mc#16
Source:
Comparative Agendas
Topic:
Law and Crime
Score:
29.363
Magnitude:
65
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
25.7
Gunning-Fog Score
16
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
6.9
Sprache Readability Score
4.2
Dale-Chall Difficult Word Score
14
Sprache Difficult Word Count
16

Chris Cox

With the Homeland Security Act, Congress and President Bush took prompt and definitive action to break down legal and cultural barriers to information-sharing. Now, the FBI, the CIA, and dozens of other Federal, State and local intelligence and law enforcement agencies are sharing data on terrorists and their plans. This is a good start.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.55556
Very Positive
Harvard-IV (Absolute)
0.55556
Very Positive
Harvard-IV (Logit)
1.09861
VADER
0.765
Very Positive
Moderation
Violence
2.6382522658
OpenAI Moderation v1 (007)
Harassment
0.2954421565
OpenAI Moderation v1 (007)
Hate
0.1909986953
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0094707408
OpenAI Moderation v1 (007)
Violence > Graphic
0.0009837061
OpenAI Moderation v1 (007)
Hate > Threatening
0.0006623557
OpenAI Moderation v1 (007)
Sexual
3.30644E-5
OpenAI Moderation v1 (007)
Sexual > Minors
3.26941E-5
OpenAI Moderation v1 (007)
Self-Harm
6.679E-7
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.37E-7
OpenAI Moderation v1 (007)
Self-Harm > Instructions
5.54E-8
OpenAI Moderation v1 (007)
Topics
Topic:
Crime, Law and Justice > Police
Score:
100
Magnitude:
0.41
Code:
2003000
Url:
https://cv.iptc.org/newscodes/subjectcode/02003000
Wikidata_id:
Q35535
Wikidata_label:
police
Source:
IPTC Subject
Topic:
Defense
Score:
86.623
Magnitude:
37
Code:
16
Url:
https://fsc.al/cap-mc#16
Source:
Comparative Agendas
Topic:
Politics > Espionage and Intelligence
Score:
52
Magnitude:
0.211
Code:
11004000
Url:
https://cv.iptc.org/newscodes/subjectcode/11004000
Wikidata_id:
Q165950
Wikidata_label:
espionage
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
11.1
Flesch-Kincaid Ease
48.3
Gunning-Fog Score
13.2
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
11.5
Dale-Chall Readability Score
7.2
Sprache Readability Score
4.9
Dale-Chall Difficult Word Score
22
Sprache Difficult Word Count
25

Chris Cox

The grant-making process for our first responders deserves equally decisive action. And let's be clear: our enemies have no political two-stepping process to perform. There is no confusion on their end. They are focused on one objective only, to inflict fear and panic on our citizens, kill our loved ones, and destroy our economy and our way of life.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-2.3979
Harvard-IV (Relative)
-0.07692
Neutral
Harvard-IV (Absolute)
-0.07692
Neutral
Harvard-IV (Logit)
-0.1431
VADER
-0.926
Very Negative
Moderation
Violence
0.0070360336
OpenAI Moderation v1 (007)
Sexual
0.0018709876
OpenAI Moderation v1 (007)
Harassment
0.0014196522
OpenAI Moderation v1 (007)
Violence > Graphic
0.0009743101
OpenAI Moderation v1 (007)
Hate
0.0005056047
OpenAI Moderation v1 (007)
Sexual > Minors
7.06652E-5
OpenAI Moderation v1 (007)
Harassment > Threatening
1.44797E-5
OpenAI Moderation v1 (007)
Self-Harm
4.5468E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.2162E-6
OpenAI Moderation v1 (007)
Hate > Threatening
6.657E-7
OpenAI Moderation v1 (007)
Self-Harm > Instructions
6.72E-8
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Politics (General)
Score:
100
Magnitude:
0.127
Code:
11024000
Url:
https://cv.iptc.org/newscodes/subjectcode/11024000
Wikidata_id:
Q11827330
Wikidata_label:
political process
Source:
IPTC Subject
Topic:
Economy, Business and Finance > Economy (General)
Score:
99
Magnitude:
0.125
Code:
4017000
Url:
https://cv.iptc.org/newscodes/subjectcode/04017000
Wikidata_id:
Q159810
Wikidata_label:
economy
Source:
IPTC Subject
Topic:
Unrest, Conflicts and War > War
Score:
89
Magnitude:
0.113
Code:
16009000
Url:
https://cv.iptc.org/newscodes/subjectcode/16009000
Wikidata_id:
Q198
Wikidata_label:
war
Source:
IPTC Subject
Topic:
Law and Crime
Score:
75.85
Magnitude:
54
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Topic:
Social Issue > Abusive Behavior
Score:
54
Magnitude:
0.069
Code:
14022000
Url:
https://cv.iptc.org/newscodes/subjectcode/14022000
Wikidata_id:
Q600571
Wikidata_label:
abuse
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
8.5
Flesch-Kincaid Ease
61
Gunning-Fog Score
12.7
Coleman-Liau Index
11.4
SMOG Index
12
Automated Readability Index
8
Dale-Chall Readability Score
5.2
Sprache Readability Score
4.4
Dale-Chall Difficult Word Score
17
Sprache Difficult Word Count
23

Chris Cox

This is no overstatement. There is no need for drama. We can and we must start to make sense of the way we fund our first responders, the men and women upon whom we all may 1 day rely for our lives if we are to prevail in the war on terror.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
-0.2
Slightly Negative
Harvard-IV (Absolute)
-0.2
Slightly Negative
Harvard-IV (Logit)
-0.33647
VADER
-0.915
Very Negative
Moderation
Harassment
0.0092380331
OpenAI Moderation v1 (007)
Violence > Graphic
0.007770169
OpenAI Moderation v1 (007)
Hate
0.0039047864
OpenAI Moderation v1 (007)
Violence
0.0025153115
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0003010258
OpenAI Moderation v1 (007)
Sexual
0.0002263171
OpenAI Moderation v1 (007)
Sexual > Minors
8.11759E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.68044E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
6.7592E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
6.5952E-6
OpenAI Moderation v1 (007)
Self-Harm
1.5944E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Unrest, Conflicts and War > War
Score:
100
Magnitude:
0.106
Code:
16009000
Url:
https://cv.iptc.org/newscodes/subjectcode/16009000
Wikidata_id:
Q198
Wikidata_label:
war
Source:
IPTC Subject
Topic:
Defense
Score:
86.818
Magnitude:
59
Code:
16
Url:
https://fsc.al/cap-mc#16
Source:
Comparative Agendas
Topic:
Unrest, Conflicts and War
Score:
85
Magnitude:
0.09
Code:
16000000
Url:
https://cv.iptc.org/newscodes/subjectcode/16000000
Wikidata_id:
Q198
Wikidata_label:
war
Source:
IPTC Subject
Topic:
Social Issue > People
Score:
63
Magnitude:
0.066
Code:
14024000
Url:
https://cv.iptc.org/newscodes/subjectcode/14024000
Wikidata_id:
Q1156970
Wikidata_label:
humanity
Source:
IPTC Subject
Topic:
Arts, Culture and Entertainment > Culture (General)
Score:
61
Magnitude:
0.064
Code:
1022000
Url:
https://cv.iptc.org/newscodes/subjectcode/01022000
Wikidata_id:
Q11042
Wikidata_label:
culture
Source:
IPTC Subject
Topic:
Politics
Score:
61
Magnitude:
0.065
Code:
11000000
Url:
https://cv.iptc.org/newscodes/subjectcode/11000000
Wikidata_id:
Q7163
Wikidata_label:
politics
Source:
IPTC Subject
Topic:
Social Issue
Score:
56
Magnitude:
0.06
Code:
14000000
Url:
https://cv.iptc.org/newscodes/subjectcode/14000000
Wikidata_id:
Q8425
Wikidata_label:
society
Source:
IPTC Subject
Topic:
Human Interest
Score:
51
Magnitude:
0.053
Code:
8000000
Url:
https://cv.iptc.org/newscodes/subjectcode/08000000
Wikidata_id:
Q361306
Wikidata_label:
human interest story
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
5.5
Flesch-Kincaid Ease
86.7
Gunning-Fog Score
8.5
Coleman-Liau Index
5
SMOG Index
7.9
Automated Readability Index
3.9
Dale-Chall Readability Score
3
Sprache Readability Score
3.6
Dale-Chall Difficult Word Score
7
Sprache Difficult Word Count
10

Chris Cox

Congressman Turner and I are committed to doing this in the House. We know you are committed to doing this as best we can in the Senate, and we look forward to working with you in this process.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
2.19722
VADER
0.494
Positive
Moderation
Violence
0.4474168178
OpenAI Moderation v1 (007)
Harassment
0.0138217176
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0057591642
OpenAI Moderation v1 (007)
Hate
0.0055758181
OpenAI Moderation v1 (007)
Violence > Graphic
0.0004083219
OpenAI Moderation v1 (007)
Hate > Threatening
1.48855E-5
OpenAI Moderation v1 (007)
Sexual
2.0356E-6
OpenAI Moderation v1 (007)
Sexual > Minors
2.926E-7
OpenAI Moderation v1 (007)
Self-Harm
2.788E-7
OpenAI Moderation v1 (007)
Self-Harm > Intent
9.53E-8
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.71E-8
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Parliament
Score:
100
Magnitude:
0.169
Code:
11009000
Url:
https://cv.iptc.org/newscodes/subjectcode/11009000
Wikidata_id:
Q35749
Wikidata_label:
parliament
Source:
IPTC Subject
Topic:
Defense
Score:
92.671
Magnitude:
51
Code:
16
Url:
https://fsc.al/cap-mc#16
Source:
Comparative Agendas
Topic:
Politics > Parliament > Upper House
Score:
56
Magnitude:
0.094
Code:
11009001
Url:
https://cv.iptc.org/newscodes/subjectcode/11009001
Wikidata_id:
Q637846
Wikidata_label:
upper house
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
7
Flesch-Kincaid Ease
78.5
Gunning-Fog Score
9.7
Coleman-Liau Index
7.9
SMOG Index
10.3
Automated Readability Index
7
Dale-Chall Readability Score
4.7
Sprache Readability Score
3.6
Dale-Chall Difficult Word Score
9
Sprache Difficult Word Count
8

Chris Cox

Thank you very much for the opportunity to testify.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.60944
VADER
0.649
Very Positive
Moderation
Violence
0.0339793303
OpenAI Moderation v1 (007)
Violence > Graphic
0.0129963519
OpenAI Moderation v1 (007)
Harassment
0.0096119365
OpenAI Moderation v1 (007)
Sexual
0.0042206542
OpenAI Moderation v1 (007)
Hate
0.0009891653
OpenAI Moderation v1 (007)
Sexual > Minors
0.0004848782
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0002050424
OpenAI Moderation v1 (007)
Self-Harm
5.2341E-6
OpenAI Moderation v1 (007)
Hate > Threatening
4.6005E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.1841E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.847E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Government Operations
Score:
26.263
Magnitude:
38
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
8.9
Flesch-Kincaid Ease
47.3
Gunning-Fog Score
12.5
Coleman-Liau Index
11.7
SMOG Index
11.3
Automated Readability Index
5.1
Dale-Chall Readability Score
4
Sprache Readability Score
1.9
Dale-Chall Difficult Word Score
2
Sprache Difficult Word Count
2

Jon Kyl

Thank you, Chairman Cox. I think some more sophisticated observers might find it a little odd that a Senate Subcommittee would actually be calling upon our colleagues in the House for their best judgment on things, and I hope this reflects, first of all, our willingness to acknowledge that there is a lot of wisdom on the other side of the Capitol, and, secondly, that we are all in this together. We have a lot to learn, I know, from our colleagues in the House of Representatives, and so we are very happy to have you here.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.09861
Harvard-IV (Relative)
0.81818
Very Positive
Harvard-IV (Absolute)
0.81818
Very Positive
Harvard-IV (Logit)
1.94591
VADER
0.968
Very Positive
Moderation
Violence > Graphic
0.0391198235
OpenAI Moderation v1 (007)
Violence
0.0179536015
OpenAI Moderation v1 (007)
Harassment
0.0073438932
OpenAI Moderation v1 (007)
Hate
0.0020050129
OpenAI Moderation v1 (007)
Sexual
0.0003968908
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0001112132
OpenAI Moderation v1 (007)
Sexual > Minors
6.18681E-5
OpenAI Moderation v1 (007)
Hate > Threatening
2.05545E-5
OpenAI Moderation v1 (007)
Self-Harm
1.21995E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
5.715E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
4.7374E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Parliament
Score:
100
Magnitude:
0.509
Code:
11009000
Url:
https://cv.iptc.org/newscodes/subjectcode/11009000
Wikidata_id:
Q35749
Wikidata_label:
parliament
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
53.7
Gunning-Fog Score
16.6
Coleman-Liau Index
9.5
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
4.4
Sprache Readability Score
5
Dale-Chall Difficult Word Score
17
Sprache Difficult Word Count
19

Jon Kyl

Representative Turner.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
0
Neutral
Moderation
Violence
0.0208004436
OpenAI Moderation v1 (007)
Harassment
0.0014073448
OpenAI Moderation v1 (007)
Violence > Graphic
0.0010553177
OpenAI Moderation v1 (007)
Sexual
0.000761515
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0007505438
OpenAI Moderation v1 (007)
Hate
0.0001305962
OpenAI Moderation v1 (007)
Sexual > Minors
5.46733E-5
OpenAI Moderation v1 (007)
Hate > Threatening
7.3202E-6
OpenAI Moderation v1 (007)
Self-Harm
2.6288E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.5652E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.82E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Government Operations
Score:
25.368
Magnitude:
97
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
0
Gunning-Fog Score
0.8
Coleman-Liau Index
12
SMOG Index
9
Automated Readability Index
12
Dale-Chall Readability Score
10
Sprache Readability Score
1.1
Dale-Chall Difficult Word Score
2
Sprache Difficult Word Count
2

Jon Kyl

STATEMENT OF HON. JIM TURNER, A REPRESENTATIVE IN CONGRESS FROM
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
0
Neutral
Moderation
Violence
0.0864799775
OpenAI Moderation v1 (007)
Hate
0.015841749
OpenAI Moderation v1 (007)
Violence > Graphic
0.0153791712
OpenAI Moderation v1 (007)
Harassment
0.0089452238
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0001675527
OpenAI Moderation v1 (007)
Hate > Threatening
6.76467E-5
OpenAI Moderation v1 (007)
Sexual
5.63236E-5
OpenAI Moderation v1 (007)
Sexual > Minors
4.96888E-5
OpenAI Moderation v1 (007)
Self-Harm
3.80384E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.30051E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
8.0711E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
6.4
Flesch-Kincaid Ease
57.9
Gunning-Fog Score
2
Coleman-Liau Index
12
SMOG Index
7.3
Automated Readability Index
5.6
Dale-Chall Readability Score
9.7
Sprache Readability Score
1.8
Dale-Chall Difficult Word Score
6
Sprache Difficult Word Count
6

Jim Turner

Mr. Chairman, Senator Feinstein, thank you. It is always an honor for those of us in the lower House to be invited to the upper chamber.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.09861
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.94591
VADER
0.542
Very Positive
Moderation
Violence
0.0435865484
OpenAI Moderation v1 (007)
Violence > Graphic
0.0026612488
OpenAI Moderation v1 (007)
Harassment
0.0016232241
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0006990726
OpenAI Moderation v1 (007)
Hate
0.0002448909
OpenAI Moderation v1 (007)
Sexual
3.10101E-5
OpenAI Moderation v1 (007)
Sexual > Minors
3.422E-6
OpenAI Moderation v1 (007)
Self-Harm
1.3753E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
8.582E-7
OpenAI Moderation v1 (007)
Hate > Threatening
6.177E-7
OpenAI Moderation v1 (007)
Self-Harm > Instructions
6.3E-8
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Parliament
Score:
100
Magnitude:
0.146
Code:
11009000
Url:
https://cv.iptc.org/newscodes/subjectcode/11009000
Wikidata_id:
Q35749
Wikidata_label:
parliament
Source:
IPTC Subject
Topic:
Politics > Parliament > Lower House
Score:
75
Magnitude:
0.109
Code:
11009002
Url:
https://cv.iptc.org/newscodes/subjectcode/11009002
Wikidata_id:
Q375928
Wikidata_label:
lower house
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
4.6
Flesch-Kincaid Ease
77.6
Gunning-Fog Score
5
Coleman-Liau Index
8.2
SMOG Index
7.9
Automated Readability Index
2.1
Dale-Chall Readability Score
5.3
Sprache Readability Score
2.4
Dale-Chall Difficult Word Score
8
Sprache Difficult Word Count
9

Dianne Feinstein

It is nice to see humility.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.60944
VADER
0.422
Positive
Moderation
Violence
0.0650813163
OpenAI Moderation v1 (007)
Violence > Graphic
0.0115600225
OpenAI Moderation v1 (007)
Harassment
0.009695968
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0022071425
OpenAI Moderation v1 (007)
Hate
0.0017090482
OpenAI Moderation v1 (007)
Sexual
0.0003105523
OpenAI Moderation v1 (007)
Hate > Threatening
0.0003009758
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001873623
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.37474E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.18561E-5
OpenAI Moderation v1 (007)
Self-Harm
6.6195E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
4.5
Flesch-Kincaid Ease
73.8
Gunning-Fog Score
9.1
Coleman-Liau Index
4.8
SMOG Index
9
Automated Readability Index
0
Dale-Chall Readability Score
2.9
Sprache Readability Score
1.5
Dale-Chall Difficult Word Score
1
Sprache Difficult Word Count
1

Note

[Laughter.]
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
0
Neutral
Moderation
Violence
0.1564397011
OpenAI Moderation v1 (007)
Harassment
0.034436892
OpenAI Moderation v1 (007)
Violence > Graphic
0.0274671416
OpenAI Moderation v1 (007)
Hate
0.0107420419
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0051868406
OpenAI Moderation v1 (007)
Sexual > Minors
0.0005948033
OpenAI Moderation v1 (007)
Sexual
0.0004557005
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0001197352
OpenAI Moderation v1 (007)
Hate > Threatening
9.39176E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
3.59106E-5
OpenAI Moderation v1 (007)
Self-Harm
3.08707E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Civil Rights
Score:
48.464
Magnitude:
6
Code:
2
Url:
https://fsc.al/cap-mc#2
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
Flesch-Kincaid Ease
Gunning-Fog Score
Coleman-Liau Index
SMOG Index
Automated Readability Index
Dale-Chall Readability Score
Sprache Readability Score
Dale-Chall Difficult Word Score
Sprache Difficult Word Count

Jim Turner

We do appreciate the opportunity to be here, and it is a pleasure to share this time with my Chairman, Chris Cox.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.60944
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.94591
VADER
0.886
Very Positive
Moderation
Harassment
0.0295766135
OpenAI Moderation v1 (007)
Violence
0.014864374
OpenAI Moderation v1 (007)
Hate
0.0092597998
OpenAI Moderation v1 (007)
Violence > Graphic
0.008929133
OpenAI Moderation v1 (007)
Sexual
0.0017635171
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0012967346
OpenAI Moderation v1 (007)
Sexual > Minors
0.0005535846
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.000132932
OpenAI Moderation v1 (007)
Self-Harm > Intent
5.282E-5
OpenAI Moderation v1 (007)
Self-Harm
3.11091E-5
OpenAI Moderation v1 (007)
Hate > Threatening
2.17093E-5
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
9.6
Flesch-Kincaid Ease
65.3
Gunning-Fog Score
12.4
Coleman-Liau Index
8
SMOG Index
11.3
Automated Readability Index
8.6
Dale-Chall Readability Score
4.7
Sprache Readability Score
3.9
Dale-Chall Difficult Word Score
5
Sprache Difficult Word Count
7

Jim Turner

As you said, Senator Kyl, the effort to protect the homeland is a bipartisan effort and it has been an honor to serve with Chairman Cox.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.09861
Harvard-IV (Relative)
0.33333
Somewhat Positive
Harvard-IV (Absolute)
0.33333
Somewhat Positive
Harvard-IV (Logit)
0.51083
VADER
0.7
Very Positive
Moderation
Violence
0.3305839142
OpenAI Moderation v1 (007)
Harassment
0.1136337756
OpenAI Moderation v1 (007)
Violence > Graphic
0.0491673127
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0260237284
OpenAI Moderation v1 (007)
Hate
0.0086197862
OpenAI Moderation v1 (007)
Sexual
0.0005358931
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001154508
OpenAI Moderation v1 (007)
Hate > Threatening
7.68727E-5
OpenAI Moderation v1 (007)
Self-Harm
5.6982E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
5.20445E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
3.8013E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Parliament
Score:
100
Magnitude:
0.067
Code:
11009000
Url:
https://cv.iptc.org/newscodes/subjectcode/11009000
Wikidata_id:
Q35749
Wikidata_label:
parliament
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
11.8
Flesch-Kincaid Ease
56.8
Gunning-Fog Score
13.5
Coleman-Liau Index
8.7
SMOG Index
12
Automated Readability Index
11.1
Dale-Chall Readability Score
6.1
Sprache Readability Score
4.5
Dale-Chall Difficult Word Score
8
Sprache Difficult Word Count
9

Jim Turner

We all know that as we convene this meeting, it is very likely that someplace in this world a terrorist group is planning their next attack on America. While it is true that the first line of defense against Al-Qaeda is fought abroad, the focus of our hearing today is clearly upon being prepared in the event terrorists do overcome our best efforts to defeat them and attack America again.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.94591
Harvard-IV (Relative)
0.27273
Slightly Positive
Harvard-IV (Absolute)
0.27273
Slightly Positive
Harvard-IV (Logit)
0.51083
VADER
-0.542
Very Negative
Moderation
Violence
0.4038244486
OpenAI Moderation v1 (007)
Harassment
0.1649013604
OpenAI Moderation v1 (007)
Violence > Graphic
0.0681362988
OpenAI Moderation v1 (007)
Hate
0.0137826428
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0011104852
OpenAI Moderation v1 (007)
Sexual > Minors
3.83427E-5
OpenAI Moderation v1 (007)
Hate > Threatening
3.4045E-5
OpenAI Moderation v1 (007)
Sexual
2.48755E-5
OpenAI Moderation v1 (007)
Self-Harm
1.44225E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
8.2441E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.8951E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Unrest, Conflicts and War > Act of Terror
Score:
100
Magnitude:
0.416
Code:
16001000
Url:
https://cv.iptc.org/newscodes/subjectcode/16001000
Wikidata_id:
Q2223653
Wikidata_label:
terrorist attack
Source:
IPTC Subject
Topic:
Crime, Law and Justice > Crime > Terrorism
Score:
97
Magnitude:
0.405
Code:
2001010
Url:
https://cv.iptc.org/newscodes/subjectcode/02001010
Wikidata_id:
Q7283
Wikidata_label:
terrorism
Source:
IPTC Subject
Topic:
Defense
Score:
83.555
Magnitude:
26
Code:
16
Url:
https://fsc.al/cap-mc#16
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
42.1
Gunning-Fog Score
17
Coleman-Liau Index
10.4
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
5.3
Sprache Readability Score
5
Dale-Chall Difficult Word Score
16
Sprache Difficult Word Count
22

Jim Turner

The first reports that I have gotten from the front lines here at home are not encouraging. I have talked with a lot of State and local officials, first responders who have come to Washington, men and women who are responsible for our safety. In many instances, they tell us that they have yet to hear from the Department of Homeland Security. They are clearly not receiving the kind of information, the kind of assistance, the kind of coordination that needs to be there in order to make the critical security decisions within their own communities. They are looking for answers, they are looking for funding, and it is our responsibility under the Constitution to preserve and protect the national defense and to ensure that they get that help.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.68
Very Positive
Harvard-IV (Absolute)
0.68
Very Positive
Harvard-IV (Logit)
1.56398
VADER
0.943
Very Positive
Moderation
Violence
0.0094002186
OpenAI Moderation v1 (007)
Harassment
0.0055436143
OpenAI Moderation v1 (007)
Violence > Graphic
0.0051981358
OpenAI Moderation v1 (007)
Hate
0.0012739408
OpenAI Moderation v1 (007)
Harassment > Threatening
9.55768E-5
OpenAI Moderation v1 (007)
Sexual
8.46325E-5
OpenAI Moderation v1 (007)
Self-Harm
1.41159E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
9.7038E-6
OpenAI Moderation v1 (007)
Hate > Threatening
5.2427E-6
OpenAI Moderation v1 (007)
Sexual > Minors
2.5649E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.0105E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Defense > National Security
Score:
100
Magnitude:
0.253
Code:
11001002
Url:
https://cv.iptc.org/newscodes/subjectcode/11001002
Wikidata_id:
Q258307
Wikidata_label:
national security
Source:
IPTC Subject
Topic:
International Affairs
Score:
60.187
Magnitude:
70
Code:
19
Url:
https://fsc.al/cap-mc#19
Source:
Comparative Agendas
Topic:
Sport > Basketball
Score:
55
Magnitude:
0.14
Code:
15008000
Url:
https://cv.iptc.org/newscodes/subjectcode/15008000
Wikidata_id:
Q5372
Wikidata_label:
basketball
Source:
IPTC Subject
Topic:
Defense
Score:
31.392
Magnitude:
70
Code:
16
Url:
https://fsc.al/cap-mc#16
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
48.8
Gunning-Fog Score
15.6
Coleman-Liau Index
11.9
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
5.1
Sprache Readability Score
5
Dale-Chall Difficult Word Score
31
Sprache Difficult Word Count
32

Jim Turner

A lot of folks also are wondering about the homeland security advisory system, the color-coded system, and what does it really mean. When do we really act based upon what we hear and what action should we take?
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.60944
VADER
0.34
Somewhat Positive
Moderation
Violence
0.2166178543
OpenAI Moderation v1 (007)
Violence > Graphic
0.0141701152
OpenAI Moderation v1 (007)
Harassment
0.0047025609
OpenAI Moderation v1 (007)
Hate
0.0013618819
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0003132146
OpenAI Moderation v1 (007)
Hate > Threatening
3.47063E-5
OpenAI Moderation v1 (007)
Sexual
1.5102E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.49574E-5
OpenAI Moderation v1 (007)
Sexual > Minors
1.31793E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
8.7339E-6
OpenAI Moderation v1 (007)
Self-Harm
4.0611E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Defense
Score:
94.331
Magnitude:
129
Code:
16
Url:
https://fsc.al/cap-mc#16
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
10.8
Flesch-Kincaid Ease
52.6
Gunning-Fog Score
14
Coleman-Liau Index
9.6
SMOG Index
12
Automated Readability Index
8.6
Dale-Chall Readability Score
4.6
Sprache Readability Score
3.8
Dale-Chall Difficult Word Score
9
Sprache Difficult Word Count
10

Jim Turner

One message is clear to me. We must move much faster and we must be much stronger in our efforts to defend the homeland, faster in getting the vital information that we need to the front lines of those first responders, stronger in our efforts to train and to equip the men and women on the front lines, those firefighters, police, emergency management personnel, and health care workers. We must be more vigorous in our efforts to prepare our communities to face the threats from those who seek to do us harm.
Sentiment
Loughran McDonald (Relative)
0.2
Leans Positive
Loughran McDonald (Absolute)
0.2
Leans Positive
Loughran McDonald (Logit)
0.33647
Harvard-IV (Relative)
0.14286
Leans Positive
Harvard-IV (Absolute)
0.14286
Leans Positive
Harvard-IV (Logit)
0.26826
VADER
0.511
Very Positive
Moderation
Violence
0.0070077898
OpenAI Moderation v1 (007)
Violence > Graphic
0.004874944
OpenAI Moderation v1 (007)
Harassment
0.0005575084
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0001654639
OpenAI Moderation v1 (007)
Hate
0.000123408
OpenAI Moderation v1 (007)
Sexual > Minors
5.99735E-5
OpenAI Moderation v1 (007)
Sexual
2.64132E-5
OpenAI Moderation v1 (007)
Hate > Threatening
2.8961E-6
OpenAI Moderation v1 (007)
Self-Harm
1.3072E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
7.737E-7
OpenAI Moderation v1 (007)
Self-Harm > Instructions
5.574E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Labor > Health and Safety at Work
Score:
100
Magnitude:
0.205
Code:
9013000
Url:
https://cv.iptc.org/newscodes/subjectcode/09013000
Wikidata_id:
Q629029
Wikidata_label:
occupational health and safety
Source:
IPTC Subject
Topic:
Disaster and Accident > Relief and Aid Organization
Score:
81
Magnitude:
0.166
Code:
3012000
Url:
https://cv.iptc.org/newscodes/subjectcode/03012000
Wikidata_id:
Q11858035
Wikidata_label:
emergency response
Source:
IPTC Subject
Topic:
Labor > Employment
Score:
66
Magnitude:
0.135
Code:
9003000
Url:
https://cv.iptc.org/newscodes/subjectcode/09003000
Wikidata_id:
Q656365
Wikidata_label:
employment
Source:
IPTC Subject
Topic:
Social Issue > Long Term Care
Score:
64
Magnitude:
0.131
Code:
14018000
Url:
https://cv.iptc.org/newscodes/subjectcode/14018000
Wikidata_id:
Q6672123
Wikidata_label:
long-term care
Source:
IPTC Subject
Topic:
Defense
Score:
63.315
Magnitude:
38
Code:
16
Url:
https://fsc.al/cap-mc#16
Source:
Comparative Agendas
Topic:
Law and Crime
Score:
20.24
Magnitude:
38
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
56.2
Gunning-Fog Score
16.2
Coleman-Liau Index
10.4
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
5.1
Sprache Readability Score
5
Dale-Chall Difficult Word Score
21
Sprache Difficult Word Count
23

Jim Turner

Last June 29, the Council on Foreign Relations Independent Task Force on Emergency Responders released a report that you will hear about in the second panel today entitled "Emergency Responders: Drastically Underfunded, Dangerously Unprepared." I want to commend Senator Rudman, Richard Clarke, and Jamie Metzl for their work on this outstanding document. It clearly was a wake-up call for America.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-2.19722
Harvard-IV (Relative)
-0.25
Slightly Negative
Harvard-IV (Absolute)
-0.25
Slightly Negative
Harvard-IV (Logit)
-0.45199
VADER
-0.052
Neutral
Moderation
Violence
0.4986654036
OpenAI Moderation v1 (007)
Violence > Graphic
0.0557040621
OpenAI Moderation v1 (007)
Harassment
0.0403418497
OpenAI Moderation v1 (007)
Hate
0.013121248
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0083634135
OpenAI Moderation v1 (007)
Sexual
0.0002161297
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001649704
OpenAI Moderation v1 (007)
Hate > Threatening
4.41106E-5
OpenAI Moderation v1 (007)
Self-Harm
1.13022E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.7357E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
7.915E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Disaster and Accident > Emergency Incident
Score:
100
Magnitude:
0.081
Code:
3014000
Url:
https://cv.iptc.org/newscodes/subjectcode/03014000
Wikidata_id:
Q5070802
Wikidata_label:
emergency
Source:
IPTC Subject
Topic:
Politics > Defense
Score:
100
Magnitude:
0.082
Code:
11001000
Url:
https://cv.iptc.org/newscodes/subjectcode/11001000
Wikidata_id:
Q17991228
Wikidata_label:
national defence
Source:
IPTC Subject
Topic:
Defense
Score:
95.146
Magnitude:
92
Code:
16
Url:
https://fsc.al/cap-mc#16
Source:
Comparative Agendas
Topic:
Social Issue > Demographics > Immigration
Score:
87
Magnitude:
0.071
Code:
14003002
Url:
https://cv.iptc.org/newscodes/subjectcode/14003002
Wikidata_id:
Q131288
Wikidata_label:
immigration
Source:
IPTC Subject
Topic:
Politics > Parliament
Score:
73
Magnitude:
0.06
Code:
11009000
Url:
https://cv.iptc.org/newscodes/subjectcode/11009000
Wikidata_id:
Q35749
Wikidata_label:
parliament
Source:
IPTC Subject
Topic:
Social Issue > Family
Score:
66
Magnitude:
0.054
Code:
14006000
Url:
https://cv.iptc.org/newscodes/subjectcode/14006000
Wikidata_id:
Q8436
Wikidata_label:
family
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
30.9
Gunning-Fog Score
10.8
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
8.3
Sprache Readability Score
5
Dale-Chall Difficult Word Score
28
Sprache Difficult Word Count
28

Jim Turner

According to the data provided to the Council on Foreign Relations Task Force by leading emergency response officials, America is still falling an estimated $98 billion short of meeting the critical emergency responder needs over the next 5 years. As Senator Feinstein cited, there are many other estimates, all of which are large.
Sentiment
Loughran McDonald (Relative)
-0.33333
Somewhat Negative
Loughran McDonald (Absolute)
-0.33333
Somewhat Negative
Loughran McDonald (Logit)
-0.51083
Harvard-IV (Relative)
-0.09091
Neutral
Harvard-IV (Absolute)
-0.09091
Neutral
Harvard-IV (Logit)
-0.16705
VADER
-0.796
Very Negative
Moderation
Harassment
0.0953887939
OpenAI Moderation v1 (007)
Violence
0.0906798581
OpenAI Moderation v1 (007)
Violence > Graphic
0.0062423984
OpenAI Moderation v1 (007)
Hate
0.0044908673
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0011821541
OpenAI Moderation v1 (007)
Sexual
0.0002193161
OpenAI Moderation v1 (007)
Hate > Threatening
3.75278E-5
OpenAI Moderation v1 (007)
Self-Harm
3.29823E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.86594E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
5.2069E-6
OpenAI Moderation v1 (007)
Sexual > Minors
3.3811E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Defense
Score:
100
Magnitude:
0.123
Code:
11001000
Url:
https://cv.iptc.org/newscodes/subjectcode/11001000
Wikidata_id:
Q17991228
Wikidata_label:
national defence
Source:
IPTC Subject
Topic:
Social Issue > Demographics > Immigration
Score:
76
Magnitude:
0.093
Code:
14003002
Url:
https://cv.iptc.org/newscodes/subjectcode/14003002
Wikidata_id:
Q131288
Wikidata_label:
immigration
Source:
IPTC Subject
Topic:
Social Issue > Family > Sex
Score:
71
Magnitude:
0.088
Code:
14006005
Url:
https://cv.iptc.org/newscodes/subjectcode/14006005
Wikidata_id:
Q608
Wikidata_label:
human sexual behavior
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
28.3
Gunning-Fog Score
18.1
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
7.9
Sprache Readability Score
5
Dale-Chall Difficult Word Score
22
Sprache Difficult Word Count
23

Jim Turner

But it is important, I think, as Chairman Cox indicated, that we emphasize that money alone is not the only issue that we must address. I must say, in addition to funding and formulas, there are a host of other issues that must be addressed in order that we be responsible and accountable with regard to our effort to defend the homeland.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
2.70805
VADER
0.273
Slightly Positive
Moderation
Violence
0.0112890237
OpenAI Moderation v1 (007)
Harassment
0.0019925294
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0014737239
OpenAI Moderation v1 (007)
Violence > Graphic
0.0012833873
OpenAI Moderation v1 (007)
Hate
0.0008945521
OpenAI Moderation v1 (007)
Sexual
0.0003171806
OpenAI Moderation v1 (007)
Sexual > Minors
4.01371E-5
OpenAI Moderation v1 (007)
Hate > Threatening
2.59854E-5
OpenAI Moderation v1 (007)
Self-Harm
2.1537E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
9.887E-7
OpenAI Moderation v1 (007)
Self-Harm > Intent
9.403E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Defense
Score:
43.853
Magnitude:
51
Code:
16
Url:
https://fsc.al/cap-mc#16
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
47.1
Gunning-Fog Score
17.6
Coleman-Liau Index
9.8
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
5.6
Sprache Readability Score
5
Dale-Chall Difficult Word Score
16
Sprache Difficult Word Count
17

Jim Turner

The Council on Foreign Relations report stated that there are two major obstacles that hamper America's emergency preparedness efforts. First, it is impossible to know precisely what is needed because there is a lack of common understanding about the essential capabilities each community needs to respond to a catastrophic terrorist attack. Second, according to the CFR report, funding for emergency responders has been stalled due to a slow distribution of funds by Federal agencies and bureaucratic red tape at all levels.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-2.56495
Harvard-IV (Relative)
-0.11111
Leans Negative
Harvard-IV (Absolute)
-0.11111
Leans Negative
Harvard-IV (Logit)
-0.21131
VADER
-0.968
Very Negative
Moderation
Violence
0.2001394052
OpenAI Moderation v1 (007)
Harassment
0.1156067709
OpenAI Moderation v1 (007)
Hate
0.0206073018
OpenAI Moderation v1 (007)
Violence > Graphic
0.010832728
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0035560555
OpenAI Moderation v1 (007)
Hate > Threatening
0.0012784121
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0002187612
OpenAI Moderation v1 (007)
Sexual > Minors
0.000198785
OpenAI Moderation v1 (007)
Sexual
0.0001748112
OpenAI Moderation v1 (007)
Self-Harm
9.95281E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
5.75719E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Unrest, Conflicts and War > Act of Terror
Score:
100
Magnitude:
0.154
Code:
16001000
Url:
https://cv.iptc.org/newscodes/subjectcode/16001000
Wikidata_id:
Q2223653
Wikidata_label:
terrorist attack
Source:
IPTC Subject
Topic:
Social Issue > Demographics > Immigration
Score:
86
Magnitude:
0.132
Code:
14003002
Url:
https://cv.iptc.org/newscodes/subjectcode/14003002
Wikidata_id:
Q131288
Wikidata_label:
immigration
Source:
IPTC Subject
Topic:
Social Issue > Family
Score:
56
Magnitude:
0.086
Code:
14006000
Url:
https://cv.iptc.org/newscodes/subjectcode/14006000
Wikidata_id:
Q8436
Wikidata_label:
family
Source:
IPTC Subject
Topic:
Defense
Score:
51.78
Magnitude:
62
Code:
16
Url:
https://fsc.al/cap-mc#16
Source:
Comparative Agendas
Topic:
International Affairs
Score:
36.153
Magnitude:
62
Code:
19
Url:
https://fsc.al/cap-mc#19
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
23.8
Gunning-Fog Score
19
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
7.6
Sprache Readability Score
5
Dale-Chall Difficult Word Score
32
Sprache Difficult Word Count
38

Jim Turner

The work of this bipartisan task force makes it clear to all of us that we must move faster and we must be stronger to prepare our communities and protect America. We must make the same commitment to our local responders that we have always made to those who fight our battles abroad, our military forces, where we always say we want them to have the best training and the best equipment that we can provide. That same commitment must be made to those first responders.
Sentiment
Loughran McDonald (Relative)
-0.33333
Somewhat Negative
Loughran McDonald (Absolute)
-0.33333
Somewhat Negative
Loughran McDonald (Logit)
-0.51083
Harvard-IV (Relative)
0.5
Positive
Harvard-IV (Absolute)
0.5
Positive
Harvard-IV (Logit)
0.99853
VADER
0.948
Very Positive
Moderation
Violence
0.1503653824
OpenAI Moderation v1 (007)
Violence > Graphic
0.0380947138
OpenAI Moderation v1 (007)
Harassment
0.0047798421
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0012948984
OpenAI Moderation v1 (007)
Hate
0.0006063525
OpenAI Moderation v1 (007)
Sexual
0.0002446684
OpenAI Moderation v1 (007)
Sexual > Minors
5.96682E-5
OpenAI Moderation v1 (007)
Hate > Threatening
3.21451E-5
OpenAI Moderation v1 (007)
Self-Harm
9.7207E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
5.5688E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.952E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Defense
Score:
100
Magnitude:
0.223
Code:
11001000
Url:
https://cv.iptc.org/newscodes/subjectcode/11001000
Wikidata_id:
Q17991228
Wikidata_label:
national defence
Source:
IPTC Subject
Topic:
Politics > Defense > Military Equipment
Score:
86
Magnitude:
0.193
Code:
11001005
Url:
https://cv.iptc.org/newscodes/subjectcode/11001005
Wikidata_id:
Q18643213
Wikidata_label:
military equipment
Source:
IPTC Subject
Topic:
Defense
Score:
83.209
Magnitude:
81
Code:
16
Url:
https://fsc.al/cap-mc#16
Source:
Comparative Agendas
Topic:
Labor > Employment
Score:
57
Magnitude:
0.127
Code:
9003000
Url:
https://cv.iptc.org/newscodes/subjectcode/09003000
Wikidata_id:
Q656365
Wikidata_label:
employment
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
59.7
Gunning-Fog Score
15.2
Coleman-Liau Index
10.1
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
4.7
Sprache Readability Score
5
Dale-Chall Difficult Word Score
18
Sprache Difficult Word Count
17

Jim Turner

It is time, I think, Senators, to look at a comprehensive change in the way our preparedness programs are working. Secretary Ridge announced a few positive steps yesterday, but there remain several critical security gaps that must be addressed immediately.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.5
Positive
Harvard-IV (Absolute)
0.5
Positive
Harvard-IV (Logit)
0.8473
VADER
0.45
Positive
Moderation
Violence
0.197575544
OpenAI Moderation v1 (007)
Harassment
0.0173777778
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0171114574
OpenAI Moderation v1 (007)
Hate
0.0088151479
OpenAI Moderation v1 (007)
Violence > Graphic
0.0042126161
OpenAI Moderation v1 (007)
Sexual
0.0004834089
OpenAI Moderation v1 (007)
Hate > Threatening
0.0002829999
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001109935
OpenAI Moderation v1 (007)
Self-Harm
1.5361E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.148E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.009E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Parliament
Score:
100
Magnitude:
0.116
Code:
11009000
Url:
https://cv.iptc.org/newscodes/subjectcode/11009000
Wikidata_id:
Q35749
Wikidata_label:
parliament
Source:
IPTC Subject
Topic:
Defense
Score:
93.449
Magnitude:
86
Code:
16
Url:
https://fsc.al/cap-mc#16
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
40.6
Gunning-Fog Score
17
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
6.5
Sprache Readability Score
4.4
Dale-Chall Difficult Word Score
14
Sprache Difficult Word Count
16

Jim Turner

First, under Section 201 of the Homeland Security Act, the Department, and specifically the Information, Analysis, and Infrastructure Protection Directorate, referred to as the IAIP, has the responsibility to, one, carry our comprehensive assessments of the vulnerabilities of this Nation's key resources and critical infrastructure; two, to detect and assess terrorist threats to the United States; and, three, integrate this information to identify priorities for protective and preparedness measures throughout the Nation.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.66667
Very Positive
Harvard-IV (Absolute)
0.66667
Very Positive
Harvard-IV (Logit)
1.43508
VADER
-0.637
Very Negative
Moderation
Sexual
0.0214399217
OpenAI Moderation v1 (007)
Violence
0.0104021616
OpenAI Moderation v1 (007)
Sexual > Minors
0.0048556984
OpenAI Moderation v1 (007)
Violence > Graphic
0.003697976
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0011403113
OpenAI Moderation v1 (007)
Harassment
0.0004717446
OpenAI Moderation v1 (007)
Hate > Threatening
0.0001850842
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001728974
OpenAI Moderation v1 (007)
Self-Harm
0.0001351078
OpenAI Moderation v1 (007)
Hate
1.06447E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.2105E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Unrest, Conflicts and War > Act of Terror
Score:
100
Magnitude:
0.15
Code:
16001000
Url:
https://cv.iptc.org/newscodes/subjectcode/16001000
Wikidata_id:
Q2223653
Wikidata_label:
terrorist attack
Source:
IPTC Subject
Topic:
Politics > Defense
Score:
82
Magnitude:
0.123
Code:
11001000
Url:
https://cv.iptc.org/newscodes/subjectcode/11001000
Wikidata_id:
Q17991228
Wikidata_label:
national defence
Source:
IPTC Subject
Topic:
Defense
Score:
69.113
Magnitude:
40
Code:
16
Url:
https://fsc.al/cap-mc#16
Source:
Comparative Agendas
Topic:
Politics > Defense > Security Measures
Score:
59
Magnitude:
0.089
Code:
11001003
Url:
https://cv.iptc.org/newscodes/subjectcode/11001003
Wikidata_id:
Q852008
Wikidata_label:
civil protection
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
0
Gunning-Fog Score
19
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
10
Sprache Readability Score
5
Dale-Chall Difficult Word Score
33
Sprache Difficult Word Count
33

Jim Turner

Unfortunately, none of these tasks have been completed. The Office of Information Analysis, which is, as you know, an entity within the IAIP, is what I call the nerve center of that new Department. Its work should drive every action and every priority of that Department, as well as the efforts being carried out at the State and local level.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.2
Leans Positive
Harvard-IV (Absolute)
0.2
Leans Positive
Harvard-IV (Logit)
0.33647
VADER
-0.077
Neutral
Moderation
Self-Harm > Intent
2.9719866812
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.7092358321
OpenAI Moderation v1 (007)
Self-Harm
1.4055727981
OpenAI Moderation v1 (007)
Sexual > Minors
0.9466887452
OpenAI Moderation v1 (007)
Sexual
0.9119059891
OpenAI Moderation v1 (007)
Hate
0.657168217
OpenAI Moderation v1 (007)
Harassment
0.2249929123
OpenAI Moderation v1 (007)
Hate > Threatening
0.1445024158
OpenAI Moderation v1 (007)
Violence
0.1299032127
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0913551601
OpenAI Moderation v1 (007)
Violence > Graphic
0.0488815131
OpenAI Moderation v1 (007)
Topics
Topic:
Social Issue > Social Issues (General)
Score:
100
Magnitude:
0.068
Code:
14025000
Url:
https://cv.iptc.org/newscodes/subjectcode/14025000
Wikidata_id:
Q8425
Wikidata_label:
society
Source:
IPTC Subject
Topic:
Labor > Employment
Score:
94
Magnitude:
0.064
Code:
9003000
Url:
https://cv.iptc.org/newscodes/subjectcode/09003000
Wikidata_id:
Q656365
Wikidata_label:
employment
Source:
IPTC Subject
Topic:
Education > School
Score:
90
Magnitude:
0.061
Code:
5005000
Url:
https://cv.iptc.org/newscodes/subjectcode/05005000
Wikidata_id:
Q3914
Wikidata_label:
school
Source:
IPTC Subject
Topic:
Defense
Score:
85.102
Magnitude:
71
Code:
16
Url:
https://fsc.al/cap-mc#16
Source:
Comparative Agendas
Topic:
Sport > Soccer
Score:
78
Magnitude:
0.053
Code:
15054000
Url:
https://cv.iptc.org/newscodes/subjectcode/15054000
Wikidata_id:
Q2736
Wikidata_label:
association football
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
11.1
Flesch-Kincaid Ease
51.2
Gunning-Fog Score
11.3
Coleman-Liau Index
11.1
SMOG Index
12
Automated Readability Index
10.1
Dale-Chall Readability Score
4.7
Sprache Readability Score
4.7
Dale-Chall Difficult Word Score
14
Sprache Difficult Word Count
20

Jim Turner

It is only by matching the threats against our vulnerabilities that we can direct homeland security planning efforts and prioritize funding. Today, we have millions of dollars being spent in the name of homeland security through a myriad of grant programs. But until we establish the priorities through the proper analysis of our threats and our vulnerabilities, we will not be targeting the funding to remedy our greatest vulnerabilities first.
Sentiment
Loughran McDonald (Relative)
-0.66667
Very Negative
Loughran McDonald (Absolute)
-0.66667
Very Negative
Loughran McDonald (Logit)
-1.29928
Harvard-IV (Relative)
0.5
Positive
Harvard-IV (Absolute)
0.5
Positive
Harvard-IV (Logit)
0.95551
VADER
0.477
Positive
Moderation
Violence > Graphic
0.0374797062
OpenAI Moderation v1 (007)
Violence
0.0164663332
OpenAI Moderation v1 (007)
Harassment
0.0030040525
OpenAI Moderation v1 (007)
Sexual
0.0018892455
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0005412444
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001968567
OpenAI Moderation v1 (007)
Hate
0.000140233
OpenAI Moderation v1 (007)
Hate > Threatening
6.5666E-5
OpenAI Moderation v1 (007)
Self-Harm
3.38841E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.93178E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
5.043E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Government Operations
Score:
42.425
Magnitude:
60
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
27.2
Gunning-Fog Score
17.9
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
6.6
Sprache Readability Score
5
Dale-Chall Difficult Word Score
24
Sprache Difficult Word Count
23

Jim Turner

Our security gap, then, is really that we do not know what we really need. The Department of Homeland Security has not worked with State and local governments to determine, based on threats and vulnerability assessments, the essential capabilities our communities need to prepare for terrorist attack.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.60944
Harvard-IV (Relative)
0.2
Leans Positive
Harvard-IV (Absolute)
0.2
Leans Positive
Harvard-IV (Logit)
0.36772
VADER
-0.827
Very Negative
Moderation
Violence
0.0048031598
OpenAI Moderation v1 (007)
Violence > Graphic
0.0031711272
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0030253899
OpenAI Moderation v1 (007)
Sexual
0.0024070749
OpenAI Moderation v1 (007)
Harassment
0.0023534812
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001472474
OpenAI Moderation v1 (007)
Self-Harm
3.42021E-5
OpenAI Moderation v1 (007)
Hate
2.89681E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.25168E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
6.3761E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.6349E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Unrest, Conflicts and War > Act of Terror
Score:
100
Magnitude:
0.169
Code:
16001000
Url:
https://cv.iptc.org/newscodes/subjectcode/16001000
Wikidata_id:
Q2223653
Wikidata_label:
terrorist attack
Source:
IPTC Subject
Topic:
Defense
Score:
68.529
Magnitude:
70
Code:
16
Url:
https://fsc.al/cap-mc#16
Source:
Comparative Agendas
Topic:
Crime, Law and Justice > Crime > Terrorism
Score:
51
Magnitude:
0.086
Code:
2001010
Url:
https://cv.iptc.org/newscodes/subjectcode/02001010
Wikidata_id:
Q7283
Wikidata_label:
terrorism
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
26.4
Gunning-Fog Score
18.8
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
6.5
Sprache Readability Score
5
Dale-Chall Difficult Word Score
16
Sprache Difficult Word Count
19

Jim Turner

No one has said to the first responders, this is what we think is the basic minimum, essential level of preparedness. And because we do not know what equipment, planning, training, and personnel are truly needed, we certainly do not know the cost.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.42857
Positive
Harvard-IV (Absolute)
0.42857
Positive
Harvard-IV (Logit)
0.78846
VADER
0.477
Positive
Moderation
Violence
0.0021380258
OpenAI Moderation v1 (007)
Sexual
0.0011066898
OpenAI Moderation v1 (007)
Harassment
0.0006098372
OpenAI Moderation v1 (007)
Violence > Graphic
0.0003884856
OpenAI Moderation v1 (007)
Hate
0.0002860007
OpenAI Moderation v1 (007)
Harassment > Threatening
4.53258E-5
OpenAI Moderation v1 (007)
Sexual > Minors
2.41761E-5
OpenAI Moderation v1 (007)
Self-Harm
1.978E-6
OpenAI Moderation v1 (007)
Hate > Threatening
1.3915E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
5.001E-7
OpenAI Moderation v1 (007)
Self-Harm > Instructions
7.85E-8
OpenAI Moderation v1 (007)
Topics
Topic:
Social Issue
Score:
100
Magnitude:
0.074
Code:
14000000
Url:
https://cv.iptc.org/newscodes/subjectcode/14000000
Wikidata_id:
Q8425
Wikidata_label:
society
Source:
IPTC Subject
Topic:
Politics
Score:
99
Magnitude:
0.073
Code:
11000000
Url:
https://cv.iptc.org/newscodes/subjectcode/11000000
Wikidata_id:
Q7163
Wikidata_label:
politics
Source:
IPTC Subject
Topic:
Weather > Report > Weather News
Score:
94
Magnitude:
0.069
Code:
17003001
Url:
https://cv.iptc.org/newscodes/subjectcode/17003001
Wikidata_id:
Q11663
Wikidata_label:
weather
Source:
IPTC Subject
Topic:
Sport > Soccer
Score:
88
Magnitude:
0.065
Code:
15054000
Url:
https://cv.iptc.org/newscodes/subjectcode/15054000
Wikidata_id:
Q2736
Wikidata_label:
association football
Source:
IPTC Subject
Topic:
Weather > Forecast
Score:
88
Magnitude:
0.065
Code:
17001000
Url:
https://cv.iptc.org/newscodes/subjectcode/17001000
Wikidata_id:
Q182868
Wikidata_label:
weather forecasting
Source:
IPTC Subject
Topic:
Social Issue > People
Score:
84
Magnitude:
0.062
Code:
14024000
Url:
https://cv.iptc.org/newscodes/subjectcode/14024000
Wikidata_id:
Q1156970
Wikidata_label:
humanity
Source:
IPTC Subject
Topic:
Labor > Employee
Score:
82
Magnitude:
0.061
Code:
9016000
Url:
https://cv.iptc.org/newscodes/subjectcode/09016000
Wikidata_id:
Q703534
Wikidata_label:
employee
Source:
IPTC Subject
Topic:
Arts, Culture and Entertainment > Culture (General)
Score:
80
Magnitude:
0.059
Code:
1022000
Url:
https://cv.iptc.org/newscodes/subjectcode/01022000
Wikidata_id:
Q11042
Wikidata_label:
culture
Source:
IPTC Subject
Topic:
Defense
Score:
73.738
Magnitude:
47
Code:
16
Url:
https://fsc.al/cap-mc#16
Source:
Comparative Agendas
Topic:
Arts, Culture and Entertainment > Mass Media
Score:
73
Magnitude:
0.054
Code:
1026000
Url:
https://cv.iptc.org/newscodes/subjectcode/01026000
Wikidata_id:
Q11033
Wikidata_label:
mass media
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
10.4
Flesch-Kincaid Ease
59.1
Gunning-Fog Score
15.1
Coleman-Liau Index
11.2
SMOG Index
12
Automated Readability Index
10.9
Dale-Chall Readability Score
4.7
Sprache Readability Score
4.4
Dale-Chall Difficult Word Score
10
Sprache Difficult Word Count
14

Jim Turner

There is an urgent need, in my view, to establish a task force to determine the minimum essential capabilities for our first responder community. In my view, this task could provide clear guidance on the necessary skills and resources required to prevent, prepare for, and respond to terrorist attacks.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.94591
Harvard-IV (Relative)
0.45455
Positive
Harvard-IV (Absolute)
0.45455
Positive
Harvard-IV (Logit)
0.8873
VADER
-0.625
Very Negative
Moderation
Harassment
0.0233608458
OpenAI Moderation v1 (007)
Sexual
0.0064856431
OpenAI Moderation v1 (007)
Violence
0.003677624
OpenAI Moderation v1 (007)
Sexual > Minors
0.0036506379
OpenAI Moderation v1 (007)
Hate
0.0022662385
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0006892848
OpenAI Moderation v1 (007)
Violence > Graphic
0.0006203695
OpenAI Moderation v1 (007)
Hate > Threatening
2.60372E-5
OpenAI Moderation v1 (007)
Self-Harm
1.09667E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
4.9209E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.1251E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Unrest, Conflicts and War > Act of Terror
Score:
100
Magnitude:
0.116
Code:
16001000
Url:
https://cv.iptc.org/newscodes/subjectcode/16001000
Wikidata_id:
Q2223653
Wikidata_label:
terrorist attack
Source:
IPTC Subject
Topic:
Defense
Score:
84.483
Magnitude:
43
Code:
16
Url:
https://fsc.al/cap-mc#16
Source:
Comparative Agendas
Topic:
Politics > Defense
Score:
62
Magnitude:
0.072
Code:
11001000
Url:
https://cv.iptc.org/newscodes/subjectcode/11001000
Wikidata_id:
Q17991228
Wikidata_label:
national defence
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
42.1
Gunning-Fog Score
18
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
7
Sprache Readability Score
5
Dale-Chall Difficult Word Score
18
Sprache Difficult Word Count
22

Jim Turner

Communities could then create preparedness and response plans based on the local, regional, and Federal capabilities. The establishment of minimum essential capabilities would give the Department of Homeland Security and the Congress the funding requirements for the future. That is the first gap. We need to know what we need.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.66667
Very Positive
Harvard-IV (Absolute)
0.66667
Very Positive
Harvard-IV (Logit)
1.43508
VADER
0.542
Very Positive
Moderation
Hate
0.0229784564
OpenAI Moderation v1 (007)
Violence
0.0111821217
OpenAI Moderation v1 (007)
Harassment
0.0108375534
OpenAI Moderation v1 (007)
Sexual > Minors
0.0030309808
OpenAI Moderation v1 (007)
Sexual
0.0027753293
OpenAI Moderation v1 (007)
Violence > Graphic
0.0022885521
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0003563039
OpenAI Moderation v1 (007)
Self-Harm
0.0002785983
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.63108E-5
OpenAI Moderation v1 (007)
Hate > Threatening
4.2536E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.9516E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Defense
Score:
94.816
Magnitude:
49
Code:
16
Url:
https://fsc.al/cap-mc#16
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
10.5
Flesch-Kincaid Ease
41.9
Gunning-Fog Score
12.2
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
10.4
Dale-Chall Readability Score
7.3
Sprache Readability Score
3.8
Dale-Chall Difficult Word Score
21
Sprache Difficult Word Count
20

Jim Turner

The second gap is that the first responder grant system is broken. I share the sentiment of my Chairman, Chairman Cox. The current grants do not target the greatest needs and they take too long to reach first responders and they are overly bureaucratic. We need to fix this. We need to take many of the grant programs that are currently administered and fold them into a single grant program on terrorist preparedness. The traditional all-hazards grant programs like COPS and the FIRE grants, in my judgment, should be preserved.
Sentiment
Loughran McDonald (Relative)
-0.33333
Somewhat Negative
Loughran McDonald (Absolute)
-0.33333
Somewhat Negative
Loughran McDonald (Logit)
-0.51083
Harvard-IV (Relative)
-0.42857
Negative
Harvard-IV (Absolute)
-0.42857
Negative
Harvard-IV (Logit)
-0.78846
VADER
0.408
Positive
Moderation
Sexual
0.0381455495
OpenAI Moderation v1 (007)
Violence
0.0074892632
OpenAI Moderation v1 (007)
Violence > Graphic
0.0040842897
OpenAI Moderation v1 (007)
Harassment
0.0006813474
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0003443238
OpenAI Moderation v1 (007)
Sexual > Minors
0.0003421049
OpenAI Moderation v1 (007)
Self-Harm
0.0001398329
OpenAI Moderation v1 (007)
Hate
0.0001124062
OpenAI Moderation v1 (007)
Self-Harm > Intent
9.36478E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.03336E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.83443E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Defense
Score:
85.263
Magnitude:
50
Code:
16
Url:
https://fsc.al/cap-mc#16
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
7.2
Flesch-Kincaid Ease
70.6
Gunning-Fog Score
10.5
Coleman-Liau Index
12
SMOG Index
10.6
Automated Readability Index
8.4
Dale-Chall Readability Score
6.1
Sprache Readability Score
4.6
Dale-Chall Difficult Word Score
31
Sprache Difficult Word Count
26

Jim Turner

Finally, I think we lack the standards for first responder equipment. State and local agencies across the country are purchasing equipment to prepare for a terrorist attack, but they have no guidance on what or how much they should buy. There are hundreds of thousands of companies willing to sell them all kinds of products -- air filters, weapons of mass destruction detectors, protective gear, emergency medical supplies, and on and on. You have had many of those vendors in your offices, as have I.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.60944
Harvard-IV (Relative)
0.2
Leans Positive
Harvard-IV (Absolute)
0.2
Leans Positive
Harvard-IV (Logit)
0.36772
VADER
-0.967
Very Negative
Moderation
Violence
0.2016489627
OpenAI Moderation v1 (007)
Violence > Graphic
0.0246158452
OpenAI Moderation v1 (007)
Harassment
0.01846058
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0171982494
OpenAI Moderation v1 (007)
Hate
0.0061965467
OpenAI Moderation v1 (007)
Hate > Threatening
0.0004354039
OpenAI Moderation v1 (007)
Self-Harm
9.68018E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.80532E-5
OpenAI Moderation v1 (007)
Sexual
1.02277E-5
OpenAI Moderation v1 (007)
Sexual > Minors
2.3495E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.379E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance > Company Information > Merger, Acquisition and Takeover
Score:
100
Magnitude:
0.107
Code:
4016005
Url:
https://cv.iptc.org/newscodes/subjectcode/04016005
Wikidata_id:
Q731112
Wikidata_label:
mergers and acquisitions
Source:
IPTC Subject
Topic:
Unrest, Conflicts and War > Weaponry
Score:
86
Magnitude:
0.091
Code:
16012000
Url:
https://cv.iptc.org/newscodes/subjectcode/16012000
Source:
IPTC Subject
Topic:
Unrest, Conflicts and War
Score:
74
Magnitude:
0.079
Code:
16000000
Url:
https://cv.iptc.org/newscodes/subjectcode/16000000
Wikidata_id:
Q198
Wikidata_label:
war
Source:
IPTC Subject
Topic:
Unrest, Conflicts and War > Act of Terror
Score:
72
Magnitude:
0.077
Code:
16001000
Url:
https://cv.iptc.org/newscodes/subjectcode/16001000
Wikidata_id:
Q2223653
Wikidata_label:
terrorist attack
Source:
IPTC Subject
Topic:
Health
Score:
44.744
Magnitude:
90
Code:
3
Url:
https://fsc.al/cap-mc#3
Source:
Comparative Agendas
Topic:
Defense
Score:
25.067
Magnitude:
90
Code:
16
Url:
https://fsc.al/cap-mc#16
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
10.7
Flesch-Kincaid Ease
55.6
Gunning-Fog Score
14.6
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
11.8
Dale-Chall Readability Score
5
Sprache Readability Score
5
Dale-Chall Difficult Word Score
21
Sprache Difficult Word Count
28

Jim Turner

We have an information vacuum and the Department of Homeland Security should be providing assistance to first responders to identify the standards that do exist and work to set standards that don't exist. This is a task that we must direct the Department to carry out.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.09861
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
2.56495
VADER
0.34
Somewhat Positive
Moderation
Harassment
4.531160742
OpenAI Moderation v1 (007)
Violence > Graphic
0.2015907085
OpenAI Moderation v1 (007)
Violence
0.1960278489
OpenAI Moderation v1 (007)
Hate
0.0546015915
OpenAI Moderation v1 (007)
Sexual
0.0101049256
OpenAI Moderation v1 (007)
Harassment > Threatening
0.002619961
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001316749
OpenAI Moderation v1 (007)
Self-Harm
0.0001242925
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001226608
OpenAI Moderation v1 (007)
Hate > Threatening
7.0715E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
6.6124E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Labor > Health and Safety at Work
Score:
100
Magnitude:
0.137
Code:
9013000
Url:
https://cv.iptc.org/newscodes/subjectcode/09013000
Wikidata_id:
Q629029
Wikidata_label:
occupational health and safety
Source:
IPTC Subject
Topic:
Defense
Score:
91.871
Magnitude:
85
Code:
16
Url:
https://fsc.al/cap-mc#16
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
47.4
Gunning-Fog Score
13.5
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
5.9
Sprache Readability Score
4.6
Dale-Chall Difficult Word Score
14
Sprache Difficult Word Count
14

Jim Turner

Finally, we desperately need terrorist threat information that is not currently readily available. We must make the homeland security advisory system meaningful and we must tell our State and local officials what the real information is that prompts the Federal Government to alert us to a higher level.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.5
Positive
Harvard-IV (Absolute)
0.5
Positive
Harvard-IV (Logit)
0.99853
VADER
-0.7
Very Negative
Moderation
Sexual
0.0085831794
OpenAI Moderation v1 (007)
Violence > Graphic
0.0026194786
OpenAI Moderation v1 (007)
Harassment
0.0020163239
OpenAI Moderation v1 (007)
Violence
0.0015704205
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0001947262
OpenAI Moderation v1 (007)
Hate
7.32321E-5
OpenAI Moderation v1 (007)
Sexual > Minors
6.74577E-5
OpenAI Moderation v1 (007)
Self-Harm
3.68636E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.05256E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
7.7303E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.0817E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Unrest, Conflicts and War > Act of Terror
Score:
100
Magnitude:
0.115
Code:
16001000
Url:
https://cv.iptc.org/newscodes/subjectcode/16001000
Wikidata_id:
Q2223653
Wikidata_label:
terrorist attack
Source:
IPTC Subject
Topic:
Politics > Politics (General) > Political Systems
Score:
92
Magnitude:
0.106
Code:
11024001
Url:
https://cv.iptc.org/newscodes/subjectcode/11024001
Wikidata_id:
Q28108
Wikidata_label:
political system
Source:
IPTC Subject
Topic:
Politics > Government
Score:
87
Magnitude:
0.1
Code:
11006000
Url:
https://cv.iptc.org/newscodes/subjectcode/11006000
Wikidata_id:
Q7188
Wikidata_label:
government
Source:
IPTC Subject
Topic:
Law and Crime
Score:
81.269
Magnitude:
46
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Topic:
Crime, Law and Justice > Crime > Terrorism
Score:
61
Magnitude:
0.07
Code:
2001010
Url:
https://cv.iptc.org/newscodes/subjectcode/02001010
Wikidata_id:
Q7283
Wikidata_label:
terrorism
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
23.9
Gunning-Fog Score
19
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
7.8
Sprache Readability Score
5
Dale-Chall Difficult Word Score
20
Sprache Difficult Word Count
22

Jim Turner

The security gaps that we have must be addressed immediately, and next week I and many members of the Homeland Security Committee in the House will introduce legislation to address these shortfalls. Our legislation will be designed to identify the preparedness needs of our communities and create plans to meet those needs. It will maximize the effectiveness of every tax dollar spent on emergency preparedness because we will be able to spend the right amount of money on the right priorities. And it will strengthen the Federal, State and local partnership in the fight against terrorism by improving our communications capabilities and our threat warning system.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.3
Slightly Positive
Harvard-IV (Absolute)
0.3
Slightly Positive
Harvard-IV (Logit)
0.58779
VADER
-0.681
Very Negative
Moderation
Harassment
0.2656501252
OpenAI Moderation v1 (007)
Violence
0.0049128765
OpenAI Moderation v1 (007)
Sexual
0.0037046466
OpenAI Moderation v1 (007)
Hate
0.0029678575
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0024644167
OpenAI Moderation v1 (007)
Violence > Graphic
0.0004683766
OpenAI Moderation v1 (007)
Self-Harm
0.0002793448
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001264003
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.87327E-5
OpenAI Moderation v1 (007)
Sexual > Minors
1.38708E-5
OpenAI Moderation v1 (007)
Hate > Threatening
4.151E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Crime, Law and Justice > Laws
Score:
100
Magnitude:
0.206
Code:
2006000
Url:
https://cv.iptc.org/newscodes/subjectcode/02006000
Wikidata_id:
Q7748
Wikidata_label:
law
Source:
IPTC Subject
Topic:
Crime, Law and Justice > Justice and Rights
Score:
86
Magnitude:
0.176
Code:
2007000
Url:
https://cv.iptc.org/newscodes/subjectcode/02007000
Wikidata_id:
Q5167661
Wikidata_label:
justice
Source:
IPTC Subject
Topic:
Unrest, Conflicts and War > Act of Terror
Score:
54
Magnitude:
0.111
Code:
16001000
Url:
https://cv.iptc.org/newscodes/subjectcode/16001000
Wikidata_id:
Q2223653
Wikidata_label:
terrorist attack
Source:
IPTC Subject
Topic:
Economy, Business and Finance > Construction and Property
Score:
51
Magnitude:
0.104
Code:
4004000
Url:
https://cv.iptc.org/newscodes/subjectcode/04004000
Source:
IPTC Subject
Topic:
Law and Crime
Score:
44.521
Magnitude:
48
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Topic:
Defense
Score:
39.753
Magnitude:
48
Code:
16
Url:
https://fsc.al/cap-mc#16
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
33.9
Gunning-Fog Score
17.8
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
6.2
Sprache Readability Score
5
Dale-Chall Difficult Word Score
33
Sprache Difficult Word Count
35

Jim Turner

Again, I want to commend the Council on Foreign Relations for their report, for the information that it has given us, and the prompting that it has given each of us as Members of Congress to move faster and to be stronger in this war on terrorism. We all know, Mr. Chairman, our enemies will not wait, and we know that we cannot wait either.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.60944
Harvard-IV (Relative)
0.11111
Leans Positive
Harvard-IV (Absolute)
0.11111
Leans Positive
Harvard-IV (Logit)
0.20067
VADER
-0.459
Negative
Moderation
Sexual
0.0501825591
OpenAI Moderation v1 (007)
Violence > Graphic
0.0020268579
OpenAI Moderation v1 (007)
Violence
0.0020175801
OpenAI Moderation v1 (007)
Harassment
0.0017586703
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0011891441
OpenAI Moderation v1 (007)
Self-Harm
0.0005958007
OpenAI Moderation v1 (007)
Sexual > Minors
0.0003024992
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0002485465
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0001777846
OpenAI Moderation v1 (007)
Hate
0.0001412761
OpenAI Moderation v1 (007)
Hate > Threatening
1.8116E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Unrest, Conflicts and War > War
Score:
100
Magnitude:
0.225
Code:
16009000
Url:
https://cv.iptc.org/newscodes/subjectcode/16009000
Wikidata_id:
Q198
Wikidata_label:
war
Source:
IPTC Subject
Topic:
Unrest, Conflicts and War > Act of Terror
Score:
67
Magnitude:
0.15
Code:
16001000
Url:
https://cv.iptc.org/newscodes/subjectcode/16001000
Wikidata_id:
Q2223653
Wikidata_label:
terrorist attack
Source:
IPTC Subject
Topic:
Defense
Score:
66.358
Magnitude:
106
Code:
16
Url:
https://fsc.al/cap-mc#16
Source:
Comparative Agendas
Topic:
Unrest, Conflicts and War
Score:
62
Magnitude:
0.14
Code:
16000000
Url:
https://cv.iptc.org/newscodes/subjectcode/16000000
Wikidata_id:
Q198
Wikidata_label:
war
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
9.2
Flesch-Kincaid Ease
67.7
Gunning-Fog Score
10.5
Coleman-Liau Index
8.5
SMOG Index
9.9
Automated Readability Index
8.8
Dale-Chall Readability Score
4.5
Sprache Readability Score
4.6
Dale-Chall Difficult Word Score
14
Sprache Difficult Word Count
16

Jim Turner

I thank the Chairman and the Ranking Member for the opportunity to testify and we would look forward to any questions that you may have.
Sentiment
Loughran McDonald (Relative)
-0.33333
Somewhat Negative
Loughran McDonald (Absolute)
-0.33333
Somewhat Negative
Loughran McDonald (Logit)
-0.51083
Harvard-IV (Relative)
0.5
Positive
Harvard-IV (Absolute)
0.5
Positive
Harvard-IV (Logit)
0.8473
VADER
0.649
Very Positive
Moderation
Harassment
0.0088110806
OpenAI Moderation v1 (007)
Sexual
0.0015541258
OpenAI Moderation v1 (007)
Violence
0.0008023088
OpenAI Moderation v1 (007)
Violence > Graphic
0.0001701888
OpenAI Moderation v1 (007)
Hate
8.04908E-5
OpenAI Moderation v1 (007)
Harassment > Threatening
2.52294E-5
OpenAI Moderation v1 (007)
Sexual > Minors
2.46266E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
7.4223E-6
OpenAI Moderation v1 (007)
Hate > Threatening
4.6794E-6
OpenAI Moderation v1 (007)
Self-Harm
3.036E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.9452E-6
OpenAI Moderation v1 (007)
Topics
Topic:
International Affairs
Score:
82.53
Magnitude:
65
Code:
19
Url:
https://fsc.al/cap-mc#19
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
52.9
Gunning-Fog Score
14.8
Coleman-Liau Index
10.3
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
3.8
Sprache Readability Score
4.3
Dale-Chall Difficult Word Score
4
Sprache Difficult Word Count
7

Note

[The prepared statement of Mr. Turner appears as a submission for the record.]
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
0
Neutral
Moderation
Violence
0.0150228952
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0030375377
OpenAI Moderation v1 (007)
Harassment
0.0024178466
OpenAI Moderation v1 (007)
Violence > Graphic
0.0009173792
OpenAI Moderation v1 (007)
Hate
0.0007082228
OpenAI Moderation v1 (007)
Self-Harm
0.000277282
OpenAI Moderation v1 (007)
Sexual
0.000272128
OpenAI Moderation v1 (007)
Hate > Threatening
0.000132477
OpenAI Moderation v1 (007)
Self-Harm > Intent
6.90817E-5
OpenAI Moderation v1 (007)
Sexual > Minors
2.05015E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.8326E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
Flesch-Kincaid Ease
Gunning-Fog Score
Coleman-Liau Index
SMOG Index
Automated Readability Index
Dale-Chall Readability Score
Sprache Readability Score
Dale-Chall Difficult Word Score
Sprache Difficult Word Count

Jon Kyl

Well, thank you very much, Representative Turner. Senator Feinstein and I served together on the Intelligence Committee. She is still on the Committee and verifies, without going into any detail whatsoever, that the warnings from the report that there will be more attacks and that they could be extraordinarily serious, based on the intelligence, must be taken very seriously.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.94591
Harvard-IV (Relative)
0.5
Positive
Harvard-IV (Absolute)
0.5
Positive
Harvard-IV (Logit)
0.95551
VADER
0.489
Positive
Moderation
Violence
0.0217344568
OpenAI Moderation v1 (007)
Harassment
0.0208516154
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0112805668
OpenAI Moderation v1 (007)
Hate
0.0017620612
OpenAI Moderation v1 (007)
Sexual
0.0006371764
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0003533851
OpenAI Moderation v1 (007)
Hate > Threatening
0.0003063546
OpenAI Moderation v1 (007)
Sexual > Minors
0.0002372195
OpenAI Moderation v1 (007)
Violence > Graphic
0.0002006021
OpenAI Moderation v1 (007)
Self-Harm
0.0001494621
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.7464E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Parliament
Score:
100
Magnitude:
0.141
Code:
11009000
Url:
https://cv.iptc.org/newscodes/subjectcode/11009000
Wikidata_id:
Q35749
Wikidata_label:
parliament
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
36.3
Gunning-Fog Score
13.3
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
5.5
Sprache Readability Score
4.6
Dale-Chall Difficult Word Score
17
Sprache Difficult Word Count
19

Jon Kyl

So I think what both of you said hits the nail right on the head, and I hope that the signal we send by asking you to be our first witnesses that we are going to work together in a bipartisan way, in a bicameral way, because we are all in this together, will send that very strong signal. I commend both of you for the work that you have done on this. I know we are going to be working very closely together on the future.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
2.19722
VADER
0.864
Very Positive
Moderation
Harassment > Threatening
0.0040886505
OpenAI Moderation v1 (007)
Violence
0.00335488
OpenAI Moderation v1 (007)
Violence > Graphic
0.0032484197
OpenAI Moderation v1 (007)
Harassment
0.0025818117
OpenAI Moderation v1 (007)
Sexual
0.0020918322
OpenAI Moderation v1 (007)
Hate
0.0002543879
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001385222
OpenAI Moderation v1 (007)
Hate > Threatening
2.90416E-5
OpenAI Moderation v1 (007)
Self-Harm
2.39807E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.16673E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.018E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Labor > Employment
Score:
100
Magnitude:
0.062
Code:
9003000
Url:
https://cv.iptc.org/newscodes/subjectcode/09003000
Wikidata_id:
Q656365
Wikidata_label:
employment
Source:
IPTC Subject
Topic:
Economy, Business and Finance > Computing and Information Technology > Satellite Technology
Score:
97
Magnitude:
0.06
Code:
4003003
Url:
https://cv.iptc.org/newscodes/subjectcode/04003003
Source:
IPTC Subject
Topic:
Law and Crime
Score:
58.078
Magnitude:
59
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Topic:
Defense
Score:
20.972
Magnitude:
59
Code:
16
Url:
https://fsc.al/cap-mc#16
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
10.6
Flesch-Kincaid Ease
70.4
Gunning-Fog Score
13.9
Coleman-Liau Index
6.5
SMOG Index
10.6
Automated Readability Index
10.9
Dale-Chall Readability Score
3.3
Sprache Readability Score
5
Dale-Chall Difficult Word Score
10
Sprache Difficult Word Count
11

Jon Kyl

Senator Biden has joined us.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.09861
VADER
0
Neutral
Moderation
Violence > Graphic
0.0148870706
OpenAI Moderation v1 (007)
Sexual
0.00560056
OpenAI Moderation v1 (007)
Violence
0.0027289359
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0007992877
OpenAI Moderation v1 (007)
Sexual > Minors
0.0004055139
OpenAI Moderation v1 (007)
Harassment
0.0002687674
OpenAI Moderation v1 (007)
Hate
6.75197E-5
OpenAI Moderation v1 (007)
Hate > Threatening
4.36782E-5
OpenAI Moderation v1 (007)
Self-Harm
1.5536E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
5.7642E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.594E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Government Operations
Score:
49.473
Magnitude:
87
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
5.2
Flesch-Kincaid Ease
66.4
Gunning-Fog Score
2
Coleman-Liau Index
11.2
SMOG Index
9
Automated Readability Index
2.7
Dale-Chall Readability Score
10
Sprache Readability Score
1.5
Dale-Chall Difficult Word Score
4
Sprache Difficult Word Count
3

Jon Kyl

Senator Biden, would you have anything to add for this panel before we call the next panel?
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
0
Neutral
Moderation
Sexual
0.0070074748
OpenAI Moderation v1 (007)
Violence > Graphic
0.0046513993
OpenAI Moderation v1 (007)
Violence
0.0018970466
OpenAI Moderation v1 (007)
Harassment
0.001731159
OpenAI Moderation v1 (007)
Self-Harm
0.0012314064
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0008795294
OpenAI Moderation v1 (007)
Sexual > Minors
0.0007867857
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.000677308
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.82679E-5
OpenAI Moderation v1 (007)
Hate
2.49411E-5
OpenAI Moderation v1 (007)
Hate > Threatening
8.5564E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Parliament
Score:
100
Magnitude:
0.114
Code:
11009000
Url:
https://cv.iptc.org/newscodes/subjectcode/11009000
Wikidata_id:
Q35749
Wikidata_label:
parliament
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
8.4
Flesch-Kincaid Ease
65.2
Gunning-Fog Score
9.2
Coleman-Liau Index
9.5
SMOG Index
11.3
Automated Readability Index
7.3
Dale-Chall Readability Score
4.6
Sprache Readability Score
3
Dale-Chall Difficult Word Score
4
Sprache Difficult Word Count
4

Jon Kyl

STATEMENT OF HON. JOSEPH R. BIDEN, JR., A U.S. SENATOR FROM THE
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
0
Neutral
Moderation
Sexual
0.1782104839
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.004647431
OpenAI Moderation v1 (007)
Violence
0.0032835142
OpenAI Moderation v1 (007)
Self-Harm
0.0029867469
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0027423659
OpenAI Moderation v1 (007)
Violence > Graphic
0.002236953
OpenAI Moderation v1 (007)
Sexual > Minors
0.0017647351
OpenAI Moderation v1 (007)
Harassment
0.0009852798
OpenAI Moderation v1 (007)
Harassment > Threatening
0.000326981
OpenAI Moderation v1 (007)
Hate
4.9802E-5
OpenAI Moderation v1 (007)
Hate > Threatening
2.5127E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
1.6
Flesch-Kincaid Ease
87.5
Gunning-Fog Score
3.9
Coleman-Liau Index
4.5
SMOG Index
5.6
Automated Readability Index
0
Dale-Chall Readability Score
7.4
Sprache Readability Score
1.4
Dale-Chall Difficult Word Score
6
Sprache Difficult Word Count
6

Joe Biden

Just to thank the panel, our colleagues. You have done a great deal of work, both of you, on this.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.09861
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.94591
VADER
0.765
Very Positive
Moderation
Sexual
0.0247899443
OpenAI Moderation v1 (007)
Violence
0.0069029222
OpenAI Moderation v1 (007)
Violence > Graphic
0.0034334142
OpenAI Moderation v1 (007)
Harassment
0.0032506043
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0012480183
OpenAI Moderation v1 (007)
Sexual > Minors
0.0004710752
OpenAI Moderation v1 (007)
Self-Harm
0.0001726193
OpenAI Moderation v1 (007)
Hate
6.56001E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
4.47947E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.55876E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.55487E-5
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
1.9
Flesch-Kincaid Ease
99.4
Gunning-Fog Score
6
Coleman-Liau Index
6
SMOG Index
7.3
Automated Readability Index
1
Dale-Chall Readability Score
2.1
Sprache Readability Score
2.1
Dale-Chall Difficult Word Score
2
Sprache Difficult Word Count
3

Joe Biden

I would just underscore the one thing that was implied by Congressman Turner's comments. It is not going to be someone wearing night vision goggles and special forces who is going to run across the terrorist who is about to take action here in the United States. It is going to be a cop. We are cutting cops.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.60944
Harvard-IV (Relative)
-1
Very Negative
Harvard-IV (Absolute)
-1
Very Negative
Harvard-IV (Logit)
-2.19722
VADER
0.077
Neutral
Moderation
Sexual
0.0246401469
OpenAI Moderation v1 (007)
Violence
0.0069092181
OpenAI Moderation v1 (007)
Violence > Graphic
0.0034851499
OpenAI Moderation v1 (007)
Harassment
0.0032251271
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0012387185
OpenAI Moderation v1 (007)
Sexual > Minors
0.0004689975
OpenAI Moderation v1 (007)
Self-Harm
0.0001715653
OpenAI Moderation v1 (007)
Hate
6.50333E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
4.44715E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.54045E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.52797E-5
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
6.3
Flesch-Kincaid Ease
75.4
Gunning-Fog Score
7.9
Coleman-Liau Index
9.2
SMOG Index
9.7
Automated Readability Index
5.8
Dale-Chall Readability Score
5.1
Sprache Readability Score
3.9
Dale-Chall Difficult Word Score
16
Sprache Difficult Word Count
18

Joe Biden

It seems to me absolutely brainless, on my part, to think that we would be cutting the amount of aid we are giving directly to local law enforcement at a time State and local budgets are being absolutely eviscerated. The Foreign Relations report points out that in the 25 major cities, the number of cops is down, the number of law enforcement officers is down. It seems to me totally counterproductive. I don't know why we can't walk and chew gum at the same time in this business. So I hope we will get that straightened out before we get too carried away with what else we are doing.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
-0.55556
Very Negative
Harvard-IV (Absolute)
-0.55556
Very Negative
Harvard-IV (Logit)
-1.09861
VADER
0.687
Very Positive
Moderation
Violence > Graphic
0.0137014664
OpenAI Moderation v1 (007)
Violence
0.0104403516
OpenAI Moderation v1 (007)
Harassment
0.0077817363
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0028787055
OpenAI Moderation v1 (007)
Sexual
0.0017374372
OpenAI Moderation v1 (007)
Hate
0.0008114303
OpenAI Moderation v1 (007)
Sexual > Minors
0.0002264536
OpenAI Moderation v1 (007)
Hate > Threatening
0.0002112452
OpenAI Moderation v1 (007)
Self-Harm
6.827E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.36067E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.6418E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Crime, Law and Justice > Police
Score:
100
Magnitude:
0.235
Code:
2003000
Url:
https://cv.iptc.org/newscodes/subjectcode/02003000
Wikidata_id:
Q35535
Wikidata_label:
police
Source:
IPTC Subject
Topic:
Law and Crime
Score:
59.797
Magnitude:
58
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Topic:
Politics > State Budget and Tax
Score:
51
Magnitude:
0.119
Code:
11013000
Url:
https://cv.iptc.org/newscodes/subjectcode/11013000
Wikidata_id:
Q271855
Wikidata_label:
government budget
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
9.6
Flesch-Kincaid Ease
65.2
Gunning-Fog Score
12
Coleman-Liau Index
9.3
SMOG Index
11.3
Automated Readability Index
9.6
Dale-Chall Readability Score
3.8
Sprache Readability Score
5
Dale-Chall Difficult Word Score
19
Sprache Difficult Word Count
29

Joe Biden

Again, you guys are doing great work. You have done as much work or more work than anybody else in the Congress and your input and your testimony is much appreciated. I thank you very much for doing that.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.09861
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.94591
VADER
0.872
Very Positive
Moderation
Violence
0.0157428003
OpenAI Moderation v1 (007)
Harassment > Threatening
0.006137912
OpenAI Moderation v1 (007)
Harassment
0.00456249
OpenAI Moderation v1 (007)
Violence > Graphic
0.0032649325
OpenAI Moderation v1 (007)
Sexual
0.0021308037
OpenAI Moderation v1 (007)
Hate
0.000725506
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001712628
OpenAI Moderation v1 (007)
Self-Harm
0.0001068376
OpenAI Moderation v1 (007)
Self-Harm > Intent
5.52599E-5
OpenAI Moderation v1 (007)
Hate > Threatening
2.43982E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.9878E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Law and Crime
Score:
98.205
Magnitude:
108
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
5.8
Flesch-Kincaid Ease
76.5
Gunning-Fog Score
8.3
Coleman-Liau Index
8.6
SMOG Index
9
Automated Readability Index
4.6
Dale-Chall Readability Score
3.1
Sprache Readability Score
2.8
Dale-Chall Difficult Word Score
6
Sprache Difficult Word Count
7

Joe Biden

There is an old joke in my State. It is a little, tiny State and there is upstate and downstate. All of our States seem to be divided and we call it upstate and downstate my way. Those who are, quote, "down home" always say that the trip for meeting upstate is twice as far up as it is back. I know that it is twice as long a walk across as it is back, and we appreciate you making that effort and coming over here. Thank you very much.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.77778
Very Positive
Harvard-IV (Absolute)
0.77778
Very Positive
Harvard-IV (Logit)
1.7346
VADER
0.751
Very Positive
Moderation
Harassment
0.025512412
OpenAI Moderation v1 (007)
Violence
0.0152662615
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0126012921
OpenAI Moderation v1 (007)
Sexual
0.0049925427
OpenAI Moderation v1 (007)
Violence > Graphic
0.0043673856
OpenAI Moderation v1 (007)
Self-Harm
0.0018578978
OpenAI Moderation v1 (007)
Hate
0.000843637
OpenAI Moderation v1 (007)
Sexual > Minors
0.0002989154
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001475033
OpenAI Moderation v1 (007)
Hate > Threatening
0.0001391751
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.05343E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Lifestyle and Leisure > Tourism
Score:
100
Magnitude:
0.119
Code:
10006000
Url:
https://cv.iptc.org/newscodes/subjectcode/10006000
Wikidata_id:
Q49389
Wikidata_label:
tourism
Source:
IPTC Subject
Topic:
Lifestyle and Leisure > Lifestyle (House and Home)
Score:
90
Magnitude:
0.107
Code:
10009000
Url:
https://cv.iptc.org/newscodes/subjectcode/10009000
Source:
IPTC Subject
Topic:
Human Interest > Curiosity
Score:
74
Magnitude:
0.088
Code:
8002000
Url:
https://cv.iptc.org/newscodes/subjectcode/08002000
Wikidata_id:
Q361306
Wikidata_label:
human interest story
Source:
IPTC Subject
Topic:
Arts, Culture and Entertainment > Culture (General)
Score:
57
Magnitude:
0.067
Code:
1022000
Url:
https://cv.iptc.org/newscodes/subjectcode/01022000
Wikidata_id:
Q11042
Wikidata_label:
culture
Source:
IPTC Subject
Topic:
Social Issue > People
Score:
56
Magnitude:
0.067
Code:
14024000
Url:
https://cv.iptc.org/newscodes/subjectcode/14024000
Wikidata_id:
Q1156970
Wikidata_label:
humanity
Source:
IPTC Subject
Topic:
Politics
Score:
54
Magnitude:
0.064
Code:
11000000
Url:
https://cv.iptc.org/newscodes/subjectcode/11000000
Wikidata_id:
Q7163
Wikidata_label:
politics
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
4.7
Flesch-Kincaid Ease
88.2
Gunning-Fog Score
6.9
Coleman-Liau Index
6.1
SMOG Index
6.6
Automated Readability Index
3.6
Dale-Chall Readability Score
2.5
Sprache Readability Score
3.5
Dale-Chall Difficult Word Score
10
Sprache Difficult Word Count
12

Jon Kyl

Thank you.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.09861
VADER
0.361
Somewhat Positive
Moderation
Violence
0.008870702
OpenAI Moderation v1 (007)
Hate
0.0071763156
OpenAI Moderation v1 (007)
Violence > Graphic
0.0052872605
OpenAI Moderation v1 (007)
Harassment
0.0046559257
OpenAI Moderation v1 (007)
Sexual
0.0040743311
OpenAI Moderation v1 (007)
Sexual > Minors
0.0013864715
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0006896267
OpenAI Moderation v1 (007)
Self-Harm
7.11468E-5
OpenAI Moderation v1 (007)
Hate > Threatening
2.34423E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
4.2659E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.1081E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Government Operations
Score:
20.086
Magnitude:
90
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
0
Flesch-Kincaid Ease
100
Gunning-Fog Score
0.8
Coleman-Liau Index
7.6
SMOG Index
3.3
Automated Readability Index
0
Dale-Chall Readability Score
0.1
Sprache Readability Score
0.9
Dale-Chall Difficult Word Score
0
Sprache Difficult Word Count
0

Jon Kyl

Senator Feinstein.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
0
Neutral
Moderation
Violence > Graphic
0.0277966552
OpenAI Moderation v1 (007)
Sexual
0.0132904868
OpenAI Moderation v1 (007)
Harassment
0.0049439379
OpenAI Moderation v1 (007)
Violence
0.0028673296
OpenAI Moderation v1 (007)
Sexual > Minors
0.00045324
OpenAI Moderation v1 (007)
Self-Harm
0.0003911679
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0003207921
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0002308258
OpenAI Moderation v1 (007)
Hate
0.0001943919
OpenAI Moderation v1 (007)
Self-Harm > Instructions
7.73713E-5
OpenAI Moderation v1 (007)
Hate > Threatening
3.6022E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
0
Gunning-Fog Score
0.8
Coleman-Liau Index
12
SMOG Index
9
Automated Readability Index
12
Dale-Chall Readability Score
10
Sprache Readability Score
1.1
Dale-Chall Difficult Word Score
2
Sprache Difficult Word Count
2

Dianne Feinstein

Thank you, Mr. Chairman. I would like to add my voice to thank you very much. I think you are right on on the threat level, and one of the things that has impacted me is the threat targets are pretty well-known. You can pretty much figure out with respect to Al-Qaeda how they work, where they go back, you know, some of these things. Maybe we should find a way to work together to be able to change that formula and base it on the threat level and specific targets, and see that those targets are protected.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.94591
Harvard-IV (Relative)
0.5
Positive
Harvard-IV (Absolute)
0.5
Positive
Harvard-IV (Logit)
0.99853
VADER
0.827
Very Positive
Moderation
Harassment
0.0889217539
OpenAI Moderation v1 (007)
Violence
0.0241437374
OpenAI Moderation v1 (007)
Violence > Graphic
0.0053065512
OpenAI Moderation v1 (007)
Hate
0.003594107
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0009447663
OpenAI Moderation v1 (007)
Sexual
0.0007151265
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001257434
OpenAI Moderation v1 (007)
Self-Harm
5.36572E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.47546E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.02259E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
8.5034E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Unrest, Conflicts and War > Act of Terror
Score:
100
Magnitude:
0.096
Code:
16001000
Url:
https://cv.iptc.org/newscodes/subjectcode/16001000
Wikidata_id:
Q2223653
Wikidata_label:
terrorist attack
Source:
IPTC Subject
Topic:
Crime, Law and Justice > Justice and Rights
Score:
95
Magnitude:
0.091
Code:
2007000
Url:
https://cv.iptc.org/newscodes/subjectcode/02007000
Wikidata_id:
Q5167661
Wikidata_label:
justice
Source:
IPTC Subject
Topic:
Labor > Employment
Score:
94
Magnitude:
0.091
Code:
9003000
Url:
https://cv.iptc.org/newscodes/subjectcode/09003000
Wikidata_id:
Q656365
Wikidata_label:
employment
Source:
IPTC Subject
Topic:
Sport > Motor Racing > Formula One
Score:
87
Magnitude:
0.084
Code:
15039001
Url:
https://cv.iptc.org/newscodes/subjectcode/15039001
Wikidata_id:
Q1968
Wikidata_label:
Formula One
Source:
IPTC Subject
Topic:
Crime, Law and Justice > Crime > Terrorism
Score:
54
Magnitude:
0.052
Code:
2001010
Url:
https://cv.iptc.org/newscodes/subjectcode/02001010
Wikidata_id:
Q7283
Wikidata_label:
terrorism
Source:
IPTC Subject
Topic:
Politics
Score:
52
Magnitude:
0.05
Code:
11000000
Url:
https://cv.iptc.org/newscodes/subjectcode/11000000
Wikidata_id:
Q7163
Wikidata_label:
politics
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
5.5
Flesch-Kincaid Ease
85
Gunning-Fog Score
8.7
Coleman-Liau Index
7.6
SMOG Index
8.5
Automated Readability Index
5.6
Dale-Chall Readability Score
3.2
Sprache Readability Score
3.8
Dale-Chall Difficult Word Score
15
Sprache Difficult Word Count
14

Dianne Feinstein

I just wrote a letter asking some that I know about be protected and didn't get a response that is suitable, and I really don't think our Government is prepared to face the specific threat target with what it needs to do to provide some layers of protection for people. I think we get so sanitized with grants and things that are kind of on paper instead of the real world out there. So I would like to see if we couldn't come together some way in a classified setting where we could discuss this a little bit.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
0.375
Somewhat Positive
Harvard-IV (Absolute)
0.375
Somewhat Positive
Harvard-IV (Logit)
0.7376
VADER
0.657
Very Positive
Moderation
Violence
0.0187466634
OpenAI Moderation v1 (007)
Harassment
0.007926047
OpenAI Moderation v1 (007)
Violence > Graphic
0.0069768103
OpenAI Moderation v1 (007)
Sexual
0.0035479803
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0022036511
OpenAI Moderation v1 (007)
Sexual > Minors
0.0021589738
OpenAI Moderation v1 (007)
Hate
0.0012272504
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0007658111
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0002106985
OpenAI Moderation v1 (007)
Self-Harm
0.0001479495
OpenAI Moderation v1 (007)
Hate > Threatening
6.77389E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Government
Score:
100
Magnitude:
0.054
Code:
11006000
Url:
https://cv.iptc.org/newscodes/subjectcode/11006000
Wikidata_id:
Q7188
Wikidata_label:
government
Source:
IPTC Subject
Topic:
Defense
Score:
45.128
Magnitude:
98
Code:
16
Url:
https://fsc.al/cap-mc#16
Source:
Comparative Agendas
Topic:
International Affairs
Score:
42.249
Magnitude:
98
Code:
19
Url:
https://fsc.al/cap-mc#19
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
58
Gunning-Fog Score
16.7
Coleman-Liau Index
8.6
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
4
Sprache Readability Score
5
Dale-Chall Difficult Word Score
15
Sprache Difficult Word Count
20

Jon Kyl

Just one quick question, Chairman Cox, for you on the status of your legislation. Any idea when you will have action on the legislation?
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
-1
Very Negative
Harvard-IV (Absolute)
-1
Very Negative
Harvard-IV (Logit)
-1.09861
VADER
0
Neutral
Moderation
Harassment
0.1866082777
OpenAI Moderation v1 (007)
Hate
0.018609158
OpenAI Moderation v1 (007)
Sexual
0.0129245003
OpenAI Moderation v1 (007)
Violence > Graphic
0.0071450413
OpenAI Moderation v1 (007)
Violence
0.0070486989
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0021182139
OpenAI Moderation v1 (007)
Sexual > Minors
0.000924598
OpenAI Moderation v1 (007)
Self-Harm
0.0001723482
OpenAI Moderation v1 (007)
Self-Harm > Intent
4.76018E-5
OpenAI Moderation v1 (007)
Hate > Threatening
2.87971E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.37421E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Crime, Law and Justice > Laws
Score:
100
Magnitude:
0.077
Code:
2006000
Url:
https://cv.iptc.org/newscodes/subjectcode/02006000
Wikidata_id:
Q7748
Wikidata_label:
law
Source:
IPTC Subject
Topic:
Law and Crime
Score:
93.824
Magnitude:
98
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
7.3
Flesch-Kincaid Ease
64.2
Gunning-Fog Score
9.8
Coleman-Liau Index
10.9
SMOG Index
10.3
Automated Readability Index
6
Dale-Chall Readability Score
4.5
Sprache Readability Score
2.6
Dale-Chall Difficult Word Score
6
Sprache Difficult Word Count
6

Chris Cox

Yes. As Congressman Turner just mentioned, we are moving forward this month with legislation. We hope to have hearings this month, possibly complete a markup even this month, and we are hoping for legislative action in this session of the 108th Congress.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.60944
VADER
0.813
Very Positive
Moderation
Sexual
0.0236116452
OpenAI Moderation v1 (007)
Violence
0.0087616136
OpenAI Moderation v1 (007)
Hate
0.0036429727
OpenAI Moderation v1 (007)
Harassment
0.0031701751
OpenAI Moderation v1 (007)
Violence > Graphic
0.0030861091
OpenAI Moderation v1 (007)
Sexual > Minors
0.0015626207
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0007257164
OpenAI Moderation v1 (007)
Self-Harm
0.0001179414
OpenAI Moderation v1 (007)
Hate > Threatening
9.90227E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
4.96361E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.87055E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Crime, Law and Justice > Laws
Score:
100
Magnitude:
0.144
Code:
2006000
Url:
https://cv.iptc.org/newscodes/subjectcode/02006000
Wikidata_id:
Q7748
Wikidata_label:
law
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
8.1
Flesch-Kincaid Ease
61.7
Gunning-Fog Score
9.4
Coleman-Liau Index
12
SMOG Index
10.6
Automated Readability Index
8.4
Dale-Chall Readability Score
5.6
Sprache Readability Score
3.7
Dale-Chall Difficult Word Score
13
Sprache Difficult Word Count
17

Jon Kyl

Thank you. We will obviously make our transcript available for you, too, if that will help.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
2.19722
VADER
0.637
Very Positive
Moderation
Harassment
0.1162498491
OpenAI Moderation v1 (007)
Hate
0.0148274412
OpenAI Moderation v1 (007)
Violence > Graphic
0.0108244771
OpenAI Moderation v1 (007)
Violence
0.0051521845
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0002769628
OpenAI Moderation v1 (007)
Sexual
0.0001671636
OpenAI Moderation v1 (007)
Self-Harm
0.0001440127
OpenAI Moderation v1 (007)
Sexual > Minors
6.68424E-5
OpenAI Moderation v1 (007)
Hate > Threatening
3.7204E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.1254E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
9.56E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance > Financial and Business Service > Personal Finance
Score:
100
Magnitude:
0.061
Code:
4006018
Url:
https://cv.iptc.org/newscodes/subjectcode/04006018
Wikidata_id:
Q253613
Wikidata_label:
personal finance
Source:
IPTC Subject
Topic:
Government Operations
Score:
69.387
Magnitude:
42
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
4.5
Flesch-Kincaid Ease
77.1
Gunning-Fog Score
8.2
Coleman-Liau Index
10.7
SMOG Index
9
Automated Readability Index
3.8
Dale-Chall Readability Score
3.4
Sprache Readability Score
1.9
Dale-Chall Difficult Word Score
3
Sprache Difficult Word Count
3

Jon Kyl

Thank you again, both, for being here very, very much.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.09861
VADER
0.361
Somewhat Positive
Moderation
Violence > Graphic
0.0326287671
OpenAI Moderation v1 (007)
Violence
0.0200355513
OpenAI Moderation v1 (007)
Harassment
0.0104409584
OpenAI Moderation v1 (007)
Sexual
0.0027022232
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0023767694
OpenAI Moderation v1 (007)
Hate
0.0006534221
OpenAI Moderation v1 (007)
Self-Harm
0.0002987415
OpenAI Moderation v1 (007)
Hate > Threatening
1.5746E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.32902E-5
OpenAI Moderation v1 (007)
Sexual > Minors
3.2479E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
9.664E-7
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
4.8
Flesch-Kincaid Ease
78.2
Gunning-Fog Score
4
Coleman-Liau Index
8.3
SMOG Index
3.3
Automated Readability Index
2.9
Dale-Chall Readability Score
0.5
Sprache Readability Score
2
Dale-Chall Difficult Word Score
0
Sprache Difficult Word Count
1

Jim Turner

Thank you, Mr. Chairman.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.09861
VADER
0.361
Somewhat Positive
Moderation
Violence > Graphic
0.0114136637
OpenAI Moderation v1 (007)
Violence
0.010934101
OpenAI Moderation v1 (007)
Hate
0.0073186551
OpenAI Moderation v1 (007)
Harassment
0.0023144465
OpenAI Moderation v1 (007)
Sexual
0.0002188798
OpenAI Moderation v1 (007)
Harassment > Threatening
0.000191063
OpenAI Moderation v1 (007)
Self-Harm
4.8731E-5
OpenAI Moderation v1 (007)
Hate > Threatening
4.15609E-5
OpenAI Moderation v1 (007)
Sexual > Minors
6.4291E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.7521E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.2998E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
0
Flesch-Kincaid Ease
99.1
Gunning-Fog Score
0.8
Coleman-Liau Index
10.6
SMOG Index
3.3
Automated Readability Index
0.8
Dale-Chall Readability Score
8
Sprache Readability Score
1.1
Dale-Chall Difficult Word Score
2
Sprache Difficult Word Count
2

Chris Cox

Thank you, Mr. Chairman.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.09861
VADER
0.361
Somewhat Positive
Moderation
Sexual
0.6293587387
OpenAI Moderation v1 (007)
Sexual > Minors
0.16014172
OpenAI Moderation v1 (007)
Harassment
0.0181270763
OpenAI Moderation v1 (007)
Violence > Graphic
0.0100132442
OpenAI Moderation v1 (007)
Hate
0.0086634944
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0043306569
OpenAI Moderation v1 (007)
Violence
0.0040335799
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0009012922
OpenAI Moderation v1 (007)
Self-Harm
0.0007073723
OpenAI Moderation v1 (007)
Hate > Threatening
0.0001224604
OpenAI Moderation v1 (007)
Self-Harm > Instructions
7.17655E-5
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
0
Flesch-Kincaid Ease
99.1
Gunning-Fog Score
0.8
Coleman-Liau Index
10.6
SMOG Index
3.3
Automated Readability Index
0.8
Dale-Chall Readability Score
8
Sprache Readability Score
1.1
Dale-Chall Difficult Word Score
2
Sprache Difficult Word Count
2

Jon Kyl

Let's ask our next panel to step forward -- Senator Rudman and Mr. Clarke and Dr. Posner.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
0
Neutral
Moderation
Violence
0.019866589
OpenAI Moderation v1 (007)
Sexual
0.0152018081
OpenAI Moderation v1 (007)
Violence > Graphic
0.0082935323
OpenAI Moderation v1 (007)
Harassment
0.0051013689
OpenAI Moderation v1 (007)
Hate
0.0011255195
OpenAI Moderation v1 (007)
Harassment > Threatening
0.001090755
OpenAI Moderation v1 (007)
Sexual > Minors
0.0007113806
OpenAI Moderation v1 (007)
Self-Harm
0.0002696135
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.000160088
OpenAI Moderation v1 (007)
Hate > Threatening
1.81612E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.57839E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Parliament
Score:
100
Magnitude:
0.075
Code:
11009000
Url:
https://cv.iptc.org/newscodes/subjectcode/11009000
Wikidata_id:
Q35749
Wikidata_label:
parliament
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
3.5
Flesch-Kincaid Ease
79.8
Gunning-Fog Score
2.1
Coleman-Liau Index
8.8
SMOG Index
6.6
Automated Readability Index
1
Dale-Chall Readability Score
7.2
Sprache Readability Score
2
Dale-Chall Difficult Word Score
7
Sprache Difficult Word Count
8

Jon Kyl

Since I already described the bona fides of our witnesses here, I am going to get, in the interest of time, right to them.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.33333
Somewhat Positive
Harvard-IV (Absolute)
0.33333
Somewhat Positive
Harvard-IV (Logit)
0.51083
VADER
0.459
Positive
Moderation
Violence > Graphic
0.0886257447
OpenAI Moderation v1 (007)
Violence
0.0600755622
OpenAI Moderation v1 (007)
Harassment
0.0045532968
OpenAI Moderation v1 (007)
Hate
0.0023465249
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0003371295
OpenAI Moderation v1 (007)
Sexual
3.01035E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.98834E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.20504E-5
OpenAI Moderation v1 (007)
Self-Harm
1.20333E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
9.5829E-6
OpenAI Moderation v1 (007)
Sexual > Minors
2.1016E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
9
Flesch-Kincaid Ease
73.2
Gunning-Fog Score
12.9
Coleman-Liau Index
7.5
SMOG Index
11.3
Automated Readability Index
9.2
Dale-Chall Readability Score
4.5
Sprache Readability Score
4.1
Dale-Chall Difficult Word Score
5
Sprache Difficult Word Count
6

Jon Kyl

I think, Chairman Rudman, it would be appropriate to call upon you first. Let me do that.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
0
Neutral
Moderation
Violence
0.4287949298
OpenAI Moderation v1 (007)
Violence > Graphic
0.3778666258
OpenAI Moderation v1 (007)
Hate
0.0489739934
OpenAI Moderation v1 (007)
Harassment
0.0318396662
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0089129193
OpenAI Moderation v1 (007)
Self-Harm
0.0056360335
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0008473258
OpenAI Moderation v1 (007)
Hate > Threatening
0.0007160341
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0003543774
OpenAI Moderation v1 (007)
Sexual
0.0002681002
OpenAI Moderation v1 (007)
Sexual > Minors
8.05024E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Government Operations
Score:
36.323
Magnitude:
24
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Topic:
Law and Crime
Score:
31.136
Magnitude:
24
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
3.7
Flesch-Kincaid Ease
83.7
Gunning-Fog Score
5.8
Coleman-Liau Index
8.1
SMOG Index
7.3
Automated Readability Index
1.9
Dale-Chall Readability Score
3.2
Sprache Readability Score
1.9
Dale-Chall Difficult Word Score
3
Sprache Difficult Word Count
3

Jon Kyl

STATEMENT OF HON. WARREN RUDMAN, CHAIR, INDEPENDENT TASK FORCE
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
0
Neutral
Moderation
Violence
2.5777382776
OpenAI Moderation v1 (007)
Harassment
0.1519923797
OpenAI Moderation v1 (007)
Violence > Graphic
0.0203053758
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0103009355
OpenAI Moderation v1 (007)
Hate
0.0058304384
OpenAI Moderation v1 (007)
Hate > Threatening
0.0011840937
OpenAI Moderation v1 (007)
Self-Harm
0.0001598439
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001098914
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.59999E-5
OpenAI Moderation v1 (007)
Sexual
5.2404E-6
OpenAI Moderation v1 (007)
Sexual > Minors
3.9656E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
5.8
Flesch-Kincaid Ease
61.3
Gunning-Fog Score
1.8
Coleman-Liau Index
12
SMOG Index
7.3
Automated Readability Index
7.5
Dale-Chall Readability Score
10
Sprache Readability Score
1.8
Dale-Chall Difficult Word Score
6
Sprache Difficult Word Count
7

Warren Rudman

Well, thank you very much, Mr. Chairman and Senator Feinstein, and my friend, Joe Biden. You know, I was just sitting here watching this exchange between the Senate and the House and it just reminds me that if I have learned anything from the time I served here, it is that a few people, well-motivated, well-informed, well-staffed, can make a big, big difference. We have all seen it over and over again. Somebody dedicated to getting something done can get it done. And I am very encouraged by hearing the testimony of Chris Cox and Jim Turner, as well as the members of this Committee.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.60944
Harvard-IV (Relative)
0.33333
Somewhat Positive
Harvard-IV (Absolute)
0.33333
Somewhat Positive
Harvard-IV (Logit)
0.63599
VADER
0.928
Very Positive
Moderation
Violence
0.182802917
OpenAI Moderation v1 (007)
Harassment
0.1026351354
OpenAI Moderation v1 (007)
Violence > Graphic
0.0784274307
OpenAI Moderation v1 (007)
Hate
0.0143260142
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0014356207
OpenAI Moderation v1 (007)
Sexual
0.0001275669
OpenAI Moderation v1 (007)
Self-Harm
9.02846E-5
OpenAI Moderation v1 (007)
Hate > Threatening
2.48381E-5
OpenAI Moderation v1 (007)
Sexual > Minors
2.12487E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
8.7436E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
4.8409E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Parliament
Score:
100
Magnitude:
0.233
Code:
11009000
Url:
https://cv.iptc.org/newscodes/subjectcode/11009000
Wikidata_id:
Q35749
Wikidata_label:
parliament
Source:
IPTC Subject
Topic:
Politics > Politics (General)
Score:
99
Magnitude:
0.231
Code:
11024000
Url:
https://cv.iptc.org/newscodes/subjectcode/11024000
Wikidata_id:
Q11827330
Wikidata_label:
political process
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
8
Flesch-Kincaid Ease
69.5
Gunning-Fog Score
10.2
Coleman-Liau Index
9.4
SMOG Index
10.6
Automated Readability Index
7.8
Dale-Chall Readability Score
3.8
Sprache Readability Score
5
Dale-Chall Difficult Word Score
20
Sprache Difficult Word Count
30

Warren Rudman

You know, this is my third appearance here and I never expected in my life to become an expert in this subject. It started, of course, as you well know, with Hart-Rudman, which sadly predicted what eventually happened. The first Council on Foreign Relations report we entitled "America: Dangerously Unprepared," and we decided to follow it up with this report.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.60944
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
-0.382
Somewhat Negative
Moderation
Violence > Graphic
0.0137223207
OpenAI Moderation v1 (007)
Harassment
0.0077015196
OpenAI Moderation v1 (007)
Sexual
0.0045538265
OpenAI Moderation v1 (007)
Violence
0.0041080595
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0008257913
OpenAI Moderation v1 (007)
Self-Harm
0.0007195622
OpenAI Moderation v1 (007)
Hate
0.0003377725
OpenAI Moderation v1 (007)
Sexual > Minors
7.60072E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.51194E-5
OpenAI Moderation v1 (007)
Hate > Threatening
4.8476E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.9816E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Social Issue > Demographics > Immigration
Score:
100
Magnitude:
0.052
Code:
14003002
Url:
https://cv.iptc.org/newscodes/subjectcode/14003002
Wikidata_id:
Q131288
Wikidata_label:
immigration
Source:
IPTC Subject
Topic:
Government Operations
Score:
24.246
Magnitude:
105
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
11.3
Flesch-Kincaid Ease
50.3
Gunning-Fog Score
12.1
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
11
Dale-Chall Readability Score
5.7
Sprache Readability Score
4.8
Dale-Chall Difficult Word Score
18
Sprache Difficult Word Count
21

Warren Rudman

What I am going to do in a few minutes is just highlight some of the important things that we believe you ought to pay a lot of attention to.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
2.19722
VADER
0.422
Positive
Moderation
Violence > Graphic
0.0073805757
OpenAI Moderation v1 (007)
Violence
0.0059979204
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0004637205
OpenAI Moderation v1 (007)
Hate
0.0002627683
OpenAI Moderation v1 (007)
Harassment
0.0002269219
OpenAI Moderation v1 (007)
Sexual
0.0001456963
OpenAI Moderation v1 (007)
Self-Harm
3.54102E-5
OpenAI Moderation v1 (007)
Sexual > Minors
2.92759E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
4.0969E-6
OpenAI Moderation v1 (007)
Hate > Threatening
1.6024E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.17E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Arts, Culture and Entertainment > Mass Media > Reviews
Score:
100
Magnitude:
0.103
Code:
1026004
Url:
https://cv.iptc.org/newscodes/subjectcode/01026004
Wikidata_id:
Q2018526
Wikidata_label:
arts
Source:
IPTC Subject
Topic:
Social Issue
Score:
66
Magnitude:
0.068
Code:
14000000
Url:
https://cv.iptc.org/newscodes/subjectcode/14000000
Wikidata_id:
Q8425
Wikidata_label:
society
Source:
IPTC Subject
Topic:
Human Interest
Score:
65
Magnitude:
0.067
Code:
8000000
Url:
https://cv.iptc.org/newscodes/subjectcode/08000000
Wikidata_id:
Q361306
Wikidata_label:
human interest story
Source:
IPTC Subject
Topic:
Arts, Culture and Entertainment > Culture (General)
Score:
63
Magnitude:
0.065
Code:
1022000
Url:
https://cv.iptc.org/newscodes/subjectcode/01022000
Wikidata_id:
Q11042
Wikidata_label:
culture
Source:
IPTC Subject
Topic:
Social Issue > People
Score:
62
Magnitude:
0.064
Code:
14024000
Url:
https://cv.iptc.org/newscodes/subjectcode/14024000
Wikidata_id:
Q1156970
Wikidata_label:
humanity
Source:
IPTC Subject
Topic:
Human Interest > People > Celebrity
Score:
54
Magnitude:
0.056
Code:
8003002
Url:
https://cv.iptc.org/newscodes/subjectcode/08003002
Wikidata_id:
Q211236
Wikidata_label:
celebrity
Source:
IPTC Subject
Topic:
Politics
Score:
52
Magnitude:
0.054
Code:
11000000
Url:
https://cv.iptc.org/newscodes/subjectcode/11000000
Wikidata_id:
Q7163
Wikidata_label:
politics
Source:
IPTC Subject
Topic:
Science and Technology > Science (General)
Score:
51
Magnitude:
0.053
Code:
13009000
Url:
https://cv.iptc.org/newscodes/subjectcode/13009000
Wikidata_id:
Q34104
Wikidata_label:
science and technology
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
10.7
Flesch-Kincaid Ease
72
Gunning-Fog Score
14.7
Coleman-Liau Index
6
SMOG Index
11.3
Automated Readability Index
11
Dale-Chall Readability Score
2
Sprache Readability Score
4.5
Dale-Chall Difficult Word Score
1
Sprache Difficult Word Count
3

Jon Kyl

Excuse me. By "this report," this is the report you are referring to?
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
0.077
Neutral
Moderation
Violence
0.0523835595
OpenAI Moderation v1 (007)
Violence > Graphic
0.0033516819
OpenAI Moderation v1 (007)
Harassment
0.0029373183
OpenAI Moderation v1 (007)
Hate
0.0012224962
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0002150688
OpenAI Moderation v1 (007)
Hate > Threatening
7.90066E-5
OpenAI Moderation v1 (007)
Sexual
1.19846E-5
OpenAI Moderation v1 (007)
Self-Harm
5.6447E-6
OpenAI Moderation v1 (007)
Sexual > Minors
3.3884E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.1814E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.976E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Weather > Report
Score:
100
Magnitude:
0.293
Code:
17003000
Url:
https://cv.iptc.org/newscodes/subjectcode/17003000
Wikidata_id:
Q11663
Wikidata_label:
weather
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
3.3
Flesch-Kincaid Ease
83.1
Gunning-Fog Score
5.7
Coleman-Liau Index
7.7
SMOG Index
7.3
Automated Readability Index
0.7
Dale-Chall Readability Score
1.5
Sprache Readability Score
1.7
Dale-Chall Difficult Word Score
1
Sprache Difficult Word Count
3

Warren Rudman

That is correct.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.09861
VADER
0
Neutral
Moderation
Violence
0.620206818
OpenAI Moderation v1 (007)
Violence > Graphic
0.0067274515
OpenAI Moderation v1 (007)
Harassment
0.0024233244
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0022382696
OpenAI Moderation v1 (007)
Hate
0.0009738141
OpenAI Moderation v1 (007)
Hate > Threatening
0.0001386742
OpenAI Moderation v1 (007)
Sexual
5.0014E-5
OpenAI Moderation v1 (007)
Self-Harm
4.72841E-5
OpenAI Moderation v1 (007)
Sexual > Minors
2.06446E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
7.0942E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.682E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Government Operations
Score:
29.647
Magnitude:
13
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
1.3
Flesch-Kincaid Ease
91
Gunning-Fog Score
1.2
Coleman-Liau Index
9.6
SMOG Index
3.3
Automated Readability Index
0.5
Dale-Chall Readability Score
0.1
Sprache Readability Score
1.1
Dale-Chall Difficult Word Score
0
Sprache Difficult Word Count
1

Jon Kyl

"Emergency Responders: Drastically Underfunded, Dangerously Unprepared."
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.94591
Harvard-IV (Relative)
-1
Very Negative
Harvard-IV (Absolute)
-1
Very Negative
Harvard-IV (Logit)
-1.60944
VADER
-0.681
Very Negative
Moderation
Violence
0.0133274545
OpenAI Moderation v1 (007)
Violence > Graphic
0.0132349931
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0116809904
OpenAI Moderation v1 (007)
Harassment
0.0013864067
OpenAI Moderation v1 (007)
Hate
0.0005021775
OpenAI Moderation v1 (007)
Sexual
0.0004739089
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001160964
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001034654
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.15019E-5
OpenAI Moderation v1 (007)
Self-Harm
2.30378E-5
OpenAI Moderation v1 (007)
Hate > Threatening
2.17359E-5
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
0
Gunning-Fog Score
2.4
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
10
Sprache Readability Score
1.9
Dale-Chall Difficult Word Score
6
Sprache Difficult Word Count
6

Warren Rudman

We are going to do that and then my colleague, Dick Clarke -- and there is nobody with a more distinguished career in this area than Dick Clarke and we were just so delighted that he was willing to help on this.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.09861
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
2.19722
VADER
-0.599
Very Negative
Moderation
Violence > Graphic
0.0252750469
OpenAI Moderation v1 (007)
Violence
0.0175405396
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0087954497
OpenAI Moderation v1 (007)
Harassment
0.0050560466
OpenAI Moderation v1 (007)
Hate
0.0040331568
OpenAI Moderation v1 (007)
Sexual > Minors
0.0006400296
OpenAI Moderation v1 (007)
Hate > Threatening
0.0004396775
OpenAI Moderation v1 (007)
Sexual
0.0003053393
OpenAI Moderation v1 (007)
Self-Harm
7.25586E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
5.05001E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
4.07166E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Health
Score:
80.106
Magnitude:
6
Code:
3
Url:
https://fsc.al/cap-mc#3
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
53.8
Gunning-Fog Score
19
Coleman-Liau Index
8
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
5.5
Sprache Readability Score
5
Dale-Chall Difficult Word Score
9
Sprache Difficult Word Count
10

Warren Rudman

To tell you about the task force briefly, it is in the report, but we had a former Secretary of State, two former chairmen of the Joint Chiefs, a former head of the FBI office in New York, a Nobel laureate in bioterrorism, and the heads of the National Football League and the National Basketball Association. Why them? Because they deal with huge venues with a great many people. The bottom line is that we got incredible cooperation from every first responder organization in the country.
Sentiment
Loughran McDonald (Relative)
0.33333
Somewhat Positive
Loughran McDonald (Absolute)
0.33333
Somewhat Positive
Loughran McDonald (Logit)
0.51083
Harvard-IV (Relative)
0.2
Leans Positive
Harvard-IV (Absolute)
0.2
Leans Positive
Harvard-IV (Logit)
0.33647
VADER
0.863
Very Positive
Moderation
Harassment
0.0238932291
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0071127775
OpenAI Moderation v1 (007)
Violence
0.0047770849
OpenAI Moderation v1 (007)
Violence > Graphic
0.0016227659
OpenAI Moderation v1 (007)
Hate
0.00118455
OpenAI Moderation v1 (007)
Sexual
8.2276E-5
OpenAI Moderation v1 (007)
Sexual > Minors
6.14671E-5
OpenAI Moderation v1 (007)
Hate > Threatening
2.99485E-5
OpenAI Moderation v1 (007)
Self-Harm
2.3955E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.2917E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
9.515E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Government > Heads of State
Score:
100
Magnitude:
0.163
Code:
11006006
Url:
https://cv.iptc.org/newscodes/subjectcode/11006006
Wikidata_id:
Q48352
Wikidata_label:
head of state
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
11.2
Flesch-Kincaid Ease
53.2
Gunning-Fog Score
11.4
Coleman-Liau Index
11.2
SMOG Index
12
Automated Readability Index
11
Dale-Chall Readability Score
5.3
Sprache Readability Score
5
Dale-Chall Difficult Word Score
23
Sprache Difficult Word Count
27

Warren Rudman

Dick is going to talk more about the process and the national standards, so let me just get right to some things that I would like to share with you that I think are probably the most important findings, and finally recommendations that we came up with.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.33333
Somewhat Positive
Harvard-IV (Absolute)
0.33333
Somewhat Positive
Harvard-IV (Logit)
0.58779
VADER
0.354
Somewhat Positive
Moderation
Violence
0.0091558053
OpenAI Moderation v1 (007)
Violence > Graphic
0.0036839105
OpenAI Moderation v1 (007)
Harassment
0.0027271875
OpenAI Moderation v1 (007)
Sexual
0.0003743138
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0003426593
OpenAI Moderation v1 (007)
Hate
0.0001174394
OpenAI Moderation v1 (007)
Sexual > Minors
2.77966E-5
OpenAI Moderation v1 (007)
Self-Harm
2.9883E-6
OpenAI Moderation v1 (007)
Hate > Threatening
6.997E-7
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.488E-7
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.098E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Crime, Law and Justice > Justice and Rights
Score:
100
Magnitude:
0.099
Code:
2007000
Url:
https://cv.iptc.org/newscodes/subjectcode/02007000
Wikidata_id:
Q5167661
Wikidata_label:
justice
Source:
IPTC Subject
Topic:
Politics
Score:
58
Magnitude:
0.057
Code:
11000000
Url:
https://cv.iptc.org/newscodes/subjectcode/11000000
Wikidata_id:
Q7163
Wikidata_label:
politics
Source:
IPTC Subject
Topic:
Civil Rights
Score:
20.004
Magnitude:
86
Code:
2
Url:
https://fsc.al/cap-mc#2
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
45.7
Gunning-Fog Score
19
Coleman-Liau Index
9.8
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
4.7
Sprache Readability Score
5
Dale-Chall Difficult Word Score
7
Sprache Difficult Word Count
9

Warren Rudman

Let me say that these are kind of bullets. You know them, but some people don't know them. They are worth repeating. Senator Feinstein has already referred to some of these things in her remarks.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.33333
Somewhat Positive
Harvard-IV (Absolute)
0.33333
Somewhat Positive
Harvard-IV (Logit)
0.58779
VADER
0.329
Somewhat Positive
Moderation
Harassment
4.8355918378
OpenAI Moderation v1 (007)
Violence
1.5168912709
OpenAI Moderation v1 (007)
Hate
0.0876682228
OpenAI Moderation v1 (007)
Violence > Graphic
0.0866016897
OpenAI Moderation v1 (007)
Harassment > Threatening
0.016467087
OpenAI Moderation v1 (007)
Hate > Threatening
0.0004561182
OpenAI Moderation v1 (007)
Sexual
5.95779E-5
OpenAI Moderation v1 (007)
Self-Harm
2.02999E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
7.5051E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.1338E-6
OpenAI Moderation v1 (007)
Sexual > Minors
7.887E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Parliament
Score:
100
Magnitude:
0.058
Code:
11009000
Url:
https://cv.iptc.org/newscodes/subjectcode/11009000
Wikidata_id:
Q35749
Wikidata_label:
parliament
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
3.3
Flesch-Kincaid Ease
86.8
Gunning-Fog Score
6.9
Coleman-Liau Index
10.3
SMOG Index
8.2
Automated Readability Index
3.8
Dale-Chall Readability Score
2.7
Sprache Readability Score
2.2
Dale-Chall Difficult Word Score
5
Sprache Difficult Word Count
6

Warren Rudman

On an average, fire departments in this country have only enough radios to equip half of the firefighters on a particular shift. They have no interoperability with other organizations. They only have breathing apparatus for one-third of the people on a shift, and only 10 percent of fire departments in the United States have the personnel and equipment to respond to a building collapse.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.94591
Harvard-IV (Relative)
-0.2
Slightly Negative
Harvard-IV (Absolute)
-0.2
Slightly Negative
Harvard-IV (Logit)
-0.33647
VADER
-0.751
Very Negative
Moderation
Harassment
0.0482563511
OpenAI Moderation v1 (007)
Violence
0.025737402
OpenAI Moderation v1 (007)
Violence > Graphic
0.0065226908
OpenAI Moderation v1 (007)
Hate
0.0023745197
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0003241927
OpenAI Moderation v1 (007)
Sexual
0.0001365118
OpenAI Moderation v1 (007)
Self-Harm
2.45871E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.19486E-5
OpenAI Moderation v1 (007)
Hate > Threatening
2.0327E-6
OpenAI Moderation v1 (007)
Sexual > Minors
1.8946E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.587E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance > Company Information > Layoffs and Downsizing
Score:
100
Magnitude:
0.109
Code:
4016025
Url:
https://cv.iptc.org/newscodes/subjectcode/04016025
Wikidata_id:
Q13634065
Wikidata_label:
layoff
Source:
IPTC Subject
Topic:
Disaster and Accident > Fire
Score:
91
Magnitude:
0.1
Code:
3004000
Url:
https://cv.iptc.org/newscodes/subjectcode/03004000
Wikidata_id:
Q3196
Wikidata_label:
fire
Source:
IPTC Subject
Topic:
Labor > Employment > Job Layoffs
Score:
83
Magnitude:
0.09
Code:
9003002
Url:
https://cv.iptc.org/newscodes/subjectcode/09003002
Wikidata_id:
Q1462531
Wikidata_label:
layoff
Source:
IPTC Subject
Topic:
Disaster and Accident > Relief and Aid Organization
Score:
67
Magnitude:
0.073
Code:
3012000
Url:
https://cv.iptc.org/newscodes/subjectcode/03012000
Wikidata_id:
Q11858035
Wikidata_label:
emergency response
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
39.1
Gunning-Fog Score
16.1
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
5.4
Sprache Readability Score
4.8
Dale-Chall Difficult Word Score
18
Sprache Difficult Word Count
18

Warren Rudman

One of the fascinating things about 9/11 is the ratio of killed to wounded was totally reversed. In most national disasters or natural disasters or combat disasters, you will have a much higher percentage of wounded, putting tremendous stress on the health system, as opposed to those killed. In this case, there were relatively few number of people horribly injured, but relatively few compared to those who died. People got out of the building, and those who didn't died. There were very few people to treat.
Sentiment
Loughran McDonald (Relative)
-0.71429
Very Negative
Loughran McDonald (Absolute)
-0.71429
Very Negative
Loughran McDonald (Logit)
-1.46634
Harvard-IV (Relative)
-0.55556
Very Negative
Harvard-IV (Absolute)
-0.55556
Very Negative
Harvard-IV (Logit)
-1.17007
VADER
-0.924
Very Negative
Moderation
Harassment
0.0112650865
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0095338975
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.005078749
OpenAI Moderation v1 (007)
Violence
0.0047367488
OpenAI Moderation v1 (007)
Self-Harm
0.001708162
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0015286185
OpenAI Moderation v1 (007)
Sexual
0.0006878985
OpenAI Moderation v1 (007)
Hate
0.0002515566
OpenAI Moderation v1 (007)
Violence > Graphic
0.0001093679
OpenAI Moderation v1 (007)
Sexual > Minors
7.92507E-5
OpenAI Moderation v1 (007)
Hate > Threatening
2.44665E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Disaster and Accident > Disaster (General) > Natural Disasters
Score:
100
Magnitude:
0.55
Code:
3015001
Url:
https://cv.iptc.org/newscodes/subjectcode/03015001
Wikidata_id:
Q8065
Wikidata_label:
natural disaster
Source:
IPTC Subject
Topic:
Disaster and Accident
Score:
65
Magnitude:
0.355
Code:
3000000
Url:
https://cv.iptc.org/newscodes/subjectcode/03000000
Wikidata_id:
Q12890393
Wikidata_label:
incident
Source:
IPTC Subject
Topic:
Domestic Commerce
Score:
47.635
Magnitude:
63
Code:
15
Url:
https://fsc.al/cap-mc#15
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
9.1
Flesch-Kincaid Ease
60.8
Gunning-Fog Score
13.4
Coleman-Liau Index
11.9
SMOG Index
12
Automated Readability Index
9.4
Dale-Chall Readability Score
5
Sprache Readability Score
4.8
Dale-Chall Difficult Word Score
23
Sprache Difficult Word Count
25

Warren Rudman

In the next event -- and I am convinced there will be a next event, whatever time cycle these people work on, whether it be conventional explosives, chemical, or biological -- we just cannot afford to have these emergency responders unprepared because we then will have a much higher casualty ratio than we should have.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
-0.5
Very Negative
Harvard-IV (Absolute)
-0.5
Very Negative
Harvard-IV (Logit)
-0.8473
VADER
-0.511
Very Negative
Moderation
Sexual
0.0062041916
OpenAI Moderation v1 (007)
Violence > Graphic
0.0053287928
OpenAI Moderation v1 (007)
Violence
0.0049668284
OpenAI Moderation v1 (007)
Harassment
0.0033027336
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0006132181
OpenAI Moderation v1 (007)
Self-Harm
0.0002118781
OpenAI Moderation v1 (007)
Hate
0.0001231747
OpenAI Moderation v1 (007)
Self-Harm > Intent
9.19956E-5
OpenAI Moderation v1 (007)
Sexual > Minors
6.39664E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.03155E-5
OpenAI Moderation v1 (007)
Hate > Threatening
5.7333E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Defense
Score:
93.433
Magnitude:
85
Code:
16
Url:
https://fsc.al/cap-mc#16
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
11
Gunning-Fog Score
19
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
7.7
Sprache Readability Score
5
Dale-Chall Difficult Word Score
17
Sprache Difficult Word Count
17

Warren Rudman

Police departments don't have protective gear against weapons of mass destruction in most large cities. Public health laboratories don't have the basic equipment to diagnose what it is they are dealing with, and most cities don't have the equipment to deal with hazardous materials unless they are very large, sophisticated cities such as New York or Los Angeles or Boston or Philadelphia. Most places just don't have that kind of equipment.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
0.66667
Very Positive
Harvard-IV (Absolute)
0.66667
Very Positive
Harvard-IV (Logit)
1.29928
VADER
-0.406
Negative
Moderation
Harassment
0.0955985102
OpenAI Moderation v1 (007)
Violence
0.0189064609
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0025078625
OpenAI Moderation v1 (007)
Sexual
0.0009744588
OpenAI Moderation v1 (007)
Hate
0.0007872127
OpenAI Moderation v1 (007)
Violence > Graphic
0.0006963989
OpenAI Moderation v1 (007)
Self-Harm
0.0001384488
OpenAI Moderation v1 (007)
Sexual > Minors
5.20955E-5
OpenAI Moderation v1 (007)
Hate > Threatening
4.49316E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.31925E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
9.386E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Unrest, Conflicts and War > Weaponry
Score:
100
Magnitude:
0.101
Code:
16012000
Url:
https://cv.iptc.org/newscodes/subjectcode/16012000
Source:
IPTC Subject
Topic:
Health
Score:
98
Magnitude:
0.099
Code:
7000000
Url:
https://cv.iptc.org/newscodes/subjectcode/07000000
Wikidata_id:
Q12147
Wikidata_label:
health
Source:
IPTC Subject
Topic:
Defense
Score:
89.794
Magnitude:
55
Code:
16
Url:
https://fsc.al/cap-mc#16
Source:
Comparative Agendas
Topic:
Social Issue > People
Score:
59
Magnitude:
0.059
Code:
14024000
Url:
https://cv.iptc.org/newscodes/subjectcode/14024000
Wikidata_id:
Q1156970
Wikidata_label:
humanity
Source:
IPTC Subject
Topic:
Unrest, Conflicts and War
Score:
56
Magnitude:
0.056
Code:
16000000
Url:
https://cv.iptc.org/newscodes/subjectcode/16000000
Wikidata_id:
Q198
Wikidata_label:
war
Source:
IPTC Subject
Topic:
Arts, Culture and Entertainment > Culture (General)
Score:
53
Magnitude:
0.053
Code:
1022000
Url:
https://cv.iptc.org/newscodes/subjectcode/01022000
Wikidata_id:
Q11042
Wikidata_label:
culture
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
42.2
Gunning-Fog Score
15.7
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
5.8
Sprache Readability Score
5
Dale-Chall Difficult Word Score
21
Sprache Difficult Word Count
24

Warren Rudman

We looked at the finding issue and as Dick Clarke will mention in his remarks, people said, well, no, that is the wrong number. Well, maybe it is. We do know this, that nobody knows what the number is; nobody knows what the number is.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
0.6
Very Positive
Harvard-IV (Absolute)
0.6
Very Positive
Harvard-IV (Logit)
1.09861
VADER
-0.542
Very Negative
Moderation
Sexual
0.060405815
OpenAI Moderation v1 (007)
Violence
0.0092997718
OpenAI Moderation v1 (007)
Harassment
0.0058426333
OpenAI Moderation v1 (007)
Violence > Graphic
0.004895806
OpenAI Moderation v1 (007)
Sexual > Minors
0.002313599
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0004018957
OpenAI Moderation v1 (007)
Hate
0.0001237136
OpenAI Moderation v1 (007)
Self-Harm
5.4592E-5
OpenAI Moderation v1 (007)
Hate > Threatening
4.4968E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.67272E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.7387E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Defense
Score:
79.345
Magnitude:
71
Code:
16
Url:
https://fsc.al/cap-mc#16
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
5.7
Flesch-Kincaid Ease
80.7
Gunning-Fog Score
7.8
Coleman-Liau Index
7.7
SMOG Index
7.9
Automated Readability Index
4.9
Dale-Chall Readability Score
3.2
Sprache Readability Score
3.1
Dale-Chall Difficult Word Score
7
Sprache Difficult Word Count
8

Warren Rudman

One of the things that we strongly believe is that Congress ought to mandate as soon as possible the setting of national minimum standards for first responders. We certainly do that now with our fire departments. The underwriters bureau and the insurance companies decide what is a minimum standard for a fire department, or a police department in some cases. We don't have that here. We ought to know what that is because you can't allocate money even under the Cox-Turner plan unless you have standards at which you can measure what you are going to be doing.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.60944
Harvard-IV (Relative)
0.5
Positive
Harvard-IV (Absolute)
0.5
Positive
Harvard-IV (Logit)
0.95551
VADER
-0.077
Neutral
Moderation
Violence
0.0106617699
OpenAI Moderation v1 (007)
Violence > Graphic
0.0069322174
OpenAI Moderation v1 (007)
Harassment
0.0038279566
OpenAI Moderation v1 (007)
Hate
0.0014608449
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0011996714
OpenAI Moderation v1 (007)
Sexual
0.0005544528
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.000157426
OpenAI Moderation v1 (007)
Self-Harm
8.35915E-5
OpenAI Moderation v1 (007)
Sexual > Minors
2.46163E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.18213E-5
OpenAI Moderation v1 (007)
Hate > Threatening
4.3198E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Disaster and Accident > Fire
Score:
100
Magnitude:
0.144
Code:
3004000
Url:
https://cv.iptc.org/newscodes/subjectcode/03004000
Wikidata_id:
Q3196
Wikidata_label:
fire
Source:
IPTC Subject
Topic:
Economy, Business and Finance > Financial and Business Service > Insurance
Score:
73
Magnitude:
0.106
Code:
4006006
Url:
https://cv.iptc.org/newscodes/subjectcode/04006006
Wikidata_id:
Q43183
Wikidata_label:
insurance
Source:
IPTC Subject
Topic:
Crime, Law and Justice > Police
Score:
53
Magnitude:
0.076
Code:
2003000
Url:
https://cv.iptc.org/newscodes/subjectcode/02003000
Wikidata_id:
Q35535
Wikidata_label:
police
Source:
IPTC Subject
Topic:
Government Operations
Score:
47.452
Magnitude:
45
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Topic:
Law and Crime
Score:
36.079
Magnitude:
45
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
9.4
Flesch-Kincaid Ease
62.8
Gunning-Fog Score
13.2
Coleman-Liau Index
11.3
SMOG Index
12
Automated Readability Index
10.1
Dale-Chall Readability Score
4.5
Sprache Readability Score
4.9
Dale-Chall Difficult Word Score
22
Sprache Difficult Word Count
23

Warren Rudman

We believe that urban search and rescue capability is grossly underfunded. I have spoken about communications. Emergency operation centers ought to be regionally located. We have got to have more national exercises so when the real thing unfortunately happens, people know what they are doing.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.94591
Harvard-IV (Relative)
0.42857
Positive
Harvard-IV (Absolute)
0.42857
Positive
Harvard-IV (Logit)
0.78846
VADER
-0.382
Somewhat Negative
Moderation
Violence
0.0548288692
OpenAI Moderation v1 (007)
Harassment
0.0088870685
OpenAI Moderation v1 (007)
Violence > Graphic
0.0063774503
OpenAI Moderation v1 (007)
Hate
0.0060536295
OpenAI Moderation v1 (007)
Sexual
0.0022088037
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0009699083
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0007866694
OpenAI Moderation v1 (007)
Self-Harm
0.0005635688
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0004833721
OpenAI Moderation v1 (007)
Sexual > Minors
0.0002245896
OpenAI Moderation v1 (007)
Hate > Threatening
7.95449E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Disaster and Accident > Rescue
Score:
100
Magnitude:
0.299
Code:
3017000
Url:
https://cv.iptc.org/newscodes/subjectcode/03017000
Wikidata_id:
Q11858035
Wikidata_label:
emergency response
Source:
IPTC Subject
Topic:
Health
Score:
63.845
Magnitude:
98
Code:
3
Url:
https://fsc.al/cap-mc#3
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
11.3
Flesch-Kincaid Ease
33.7
Gunning-Fog Score
13.4
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
9.7
Dale-Chall Readability Score
5.8
Sprache Readability Score
3.5
Dale-Chall Difficult Word Score
15
Sprache Difficult Word Count
18

Warren Rudman

We have to enhance emergency agricultural and veterinary capability because undoubtedly we will see an attack on the national food supply at some point. And we have to have a surge capacity in the hospitals. If we don't have that, then we are going to have even more casualties than we would otherwise.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.09861
Harvard-IV (Relative)
0.11111
Leans Positive
Harvard-IV (Absolute)
0.11111
Leans Positive
Harvard-IV (Logit)
0.20067
VADER
-0.691
Very Negative
Moderation
Violence
0.0878577121
OpenAI Moderation v1 (007)
Harassment
0.0080894788
OpenAI Moderation v1 (007)
Hate
0.0028962353
OpenAI Moderation v1 (007)
Violence > Graphic
0.0023344275
OpenAI Moderation v1 (007)
Harassment > Threatening
0.000398846
OpenAI Moderation v1 (007)
Sexual
0.0002872962
OpenAI Moderation v1 (007)
Sexual > Minors
8.94896E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
3.13528E-5
OpenAI Moderation v1 (007)
Hate > Threatening
3.10644E-5
OpenAI Moderation v1 (007)
Self-Harm
1.78297E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.5349E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Defense
Score:
25.676
Magnitude:
45
Code:
16
Url:
https://fsc.al/cap-mc#16
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
11.1
Flesch-Kincaid Ease
46.8
Gunning-Fog Score
14.6
Coleman-Liau Index
11.4
SMOG Index
12
Automated Readability Index
9.2
Dale-Chall Readability Score
4.2
Sprache Readability Score
4
Dale-Chall Difficult Word Score
11
Sprache Difficult Word Count
15

Warren Rudman

Finally, we made a number of specific recommendations. We believe that Congress ought to establish a very different system for allocating scarce resources. You have already heard about that more eloquently than I can say it. We think this is absolutely vital; that, plus setting of the standards.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.6
Very Positive
Harvard-IV (Absolute)
0.6
Very Positive
Harvard-IV (Logit)
1.09861
VADER
0.414
Positive
Moderation
Harassment
0.0899559935
OpenAI Moderation v1 (007)
Violence
0.0367140747
OpenAI Moderation v1 (007)
Violence > Graphic
0.0157419301
OpenAI Moderation v1 (007)
Hate
0.0051445106
OpenAI Moderation v1 (007)
Sexual
0.0020438749
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0013283794
OpenAI Moderation v1 (007)
Sexual > Minors
0.0002111368
OpenAI Moderation v1 (007)
Self-Harm
2.66511E-5
OpenAI Moderation v1 (007)
Hate > Threatening
2.42781E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.62334E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.8401E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Agriculture
Score:
92.683
Magnitude:
53
Code:
4
Url:
https://fsc.al/cap-mc#4
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
9.5
Flesch-Kincaid Ease
48.4
Gunning-Fog Score
12.3
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
8.3
Dale-Chall Readability Score
4.9
Sprache Readability Score
3.4
Dale-Chall Difficult Word Score
13
Sprache Difficult Word Count
16

Warren Rudman

Secondly, we believe the United States House of Representatives ought to transform the House Select Committee on Homeland Security into a standing committee, not a special Committee that could be done away with. We believe the Senate should consolidate all of these issues before the Senate Governmental Affairs Committee in terms of the general oversight of the individual agencies, not to cut out other committees where they have appropriate business, but to streamline the process.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
0.55556
Very Positive
Harvard-IV (Absolute)
0.55556
Very Positive
Harvard-IV (Logit)
1.09861
VADER
0.364
Somewhat Positive
Moderation
Violence > Graphic
0.0363749918
OpenAI Moderation v1 (007)
Violence
0.0149866406
OpenAI Moderation v1 (007)
Harassment
0.0110107299
OpenAI Moderation v1 (007)
Hate
0.0027247335
OpenAI Moderation v1 (007)
Sexual
0.0008654685
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0007188454
OpenAI Moderation v1 (007)
Self-Harm
9.53293E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
7.18485E-5
OpenAI Moderation v1 (007)
Sexual > Minors
6.00106E-5
OpenAI Moderation v1 (007)
Hate > Threatening
2.3089E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
5.6224E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Parliament
Score:
100
Magnitude:
0.736
Code:
11009000
Url:
https://cv.iptc.org/newscodes/subjectcode/11009000
Wikidata_id:
Q35749
Wikidata_label:
parliament
Source:
IPTC Subject
Topic:
Government Operations
Score:
77.628
Magnitude:
48
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
17.6
Gunning-Fog Score
19
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
7.3
Sprache Readability Score
5
Dale-Chall Difficult Word Score
26
Sprache Difficult Word Count
25

Warren Rudman

We ought to require that the Department of Homeland Security work with other Federal agencies to make sure that their grant programs are synonymous and synchronous and work together. I have talked about the prioritization.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.60944
VADER
0.735
Very Positive
Moderation
Violence
0.0051490311
OpenAI Moderation v1 (007)
Violence > Graphic
0.0030535379
OpenAI Moderation v1 (007)
Harassment
0.0009042365
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0005364837
OpenAI Moderation v1 (007)
Hate
0.0002047593
OpenAI Moderation v1 (007)
Self-Harm
0.0001022742
OpenAI Moderation v1 (007)
Sexual
9.28707E-5
OpenAI Moderation v1 (007)
Sexual > Minors
3.02782E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.26446E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.0182E-6
OpenAI Moderation v1 (007)
Hate > Threatening
7.192E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Labor > Health and Safety at Work
Score:
100
Magnitude:
0.184
Code:
9013000
Url:
https://cv.iptc.org/newscodes/subjectcode/09013000
Wikidata_id:
Q629029
Wikidata_label:
occupational health and safety
Source:
IPTC Subject
Topic:
Government Operations
Score:
26.041
Magnitude:
75
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
36.8
Gunning-Fog Score
12.7
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
6.3
Sprache Readability Score
3.8
Dale-Chall Difficult Word Score
12
Sprache Difficult Word Count
13

Warren Rudman

Finally, we do believe that the Department of Homeland Security ought to move the Office of Domestic Preparedness from its present location in the Bureau of Border and Transportation Security to the Office of State and Local Government Coordination in order to consolidate oversight of grants to emergency responders because, like everything else, there has got to be strong oversight of this money. How often have we seen money in grant programs going out for a good purpose and was misspent by people who just didn't know how to spend it or had other motivations? So we think the oversight is very important.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.42857
Positive
Harvard-IV (Absolute)
0.42857
Positive
Harvard-IV (Logit)
0.8473
VADER
0.937
Very Positive
Moderation
Violence
0.0319739949
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0253211881
OpenAI Moderation v1 (007)
Harassment
0.0091313399
OpenAI Moderation v1 (007)
Violence > Graphic
0.0026701768
OpenAI Moderation v1 (007)
Sexual
0.0006836756
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0005961407
OpenAI Moderation v1 (007)
Self-Harm
0.0004462949
OpenAI Moderation v1 (007)
Sexual > Minors
0.0003067189
OpenAI Moderation v1 (007)
Hate
0.0002368007
OpenAI Moderation v1 (007)
Self-Harm > Instructions
7.76048E-5
OpenAI Moderation v1 (007)
Hate > Threatening
6.09444E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance > Computing and Information Technology > Software
Score:
100
Magnitude:
0.087
Code:
4003005
Url:
https://cv.iptc.org/newscodes/subjectcode/04003005
Wikidata_id:
Q7397
Wikidata_label:
software
Source:
IPTC Subject
Topic:
Politics > Government
Score:
88
Magnitude:
0.077
Code:
11006000
Url:
https://cv.iptc.org/newscodes/subjectcode/11006000
Wikidata_id:
Q7188
Wikidata_label:
government
Source:
IPTC Subject
Topic:
Law and Crime
Score:
45.967
Magnitude:
35
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Topic:
Defense
Score:
39.816
Magnitude:
35
Code:
16
Url:
https://fsc.al/cap-mc#16
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
31.5
Gunning-Fog Score
17.6
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
5.4
Sprache Readability Score
5
Dale-Chall Difficult Word Score
24
Sprache Difficult Word Count
26

Warren Rudman

Let me simply wind up by saying to you that when we sent these brave men and women that we have in Iraq right now into harm's way, we made sure that they had the finest chemical, biological, and communications gear that this country could afford. There was no holding back. Whatever they needed, they got.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.2
Leans Positive
Harvard-IV (Absolute)
0.2
Leans Positive
Harvard-IV (Logit)
0.33647
VADER
0.542
Very Positive
Moderation
Violence
0.0119548407
OpenAI Moderation v1 (007)
Violence > Graphic
0.0096333351
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0014576275
OpenAI Moderation v1 (007)
Harassment
0.001149701
OpenAI Moderation v1 (007)
Hate
0.0004259331
OpenAI Moderation v1 (007)
Sexual
0.0003752764
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001131675
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.14026E-5
OpenAI Moderation v1 (007)
Self-Harm
1.10067E-5
OpenAI Moderation v1 (007)
Hate > Threatening
6.9297E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.1846E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Crime, Law and Justice > Justice and Rights
Score:
100
Magnitude:
0.083
Code:
2007000
Url:
https://cv.iptc.org/newscodes/subjectcode/02007000
Wikidata_id:
Q5167661
Wikidata_label:
justice
Source:
IPTC Subject
Topic:
Law and Crime
Score:
83.118
Magnitude:
103
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
8.1
Flesch-Kincaid Ease
70.1
Gunning-Fog Score
10.3
Coleman-Liau Index
9.6
SMOG Index
9.9
Automated Readability Index
8.3
Dale-Chall Readability Score
4.3
Sprache Readability Score
4
Dale-Chall Difficult Word Score
12
Sprache Difficult Word Count
13

Warren Rudman

I think it is grossly unfair to ask policemen and firemen and emergency workers to have any less because we know from experiences in our own communities, no matter what the risk, no matter what the personal jeopardy, policemen, firemen, and emergency workers will go into the maelstrom to try to save lives. We ought to make sure that at least they can talk to each other, that they are well equipped and they have been adequately trained. When you read through the whole report, that is the essence of what we are saying.
Sentiment
Loughran McDonald (Relative)
-0.33333
Somewhat Negative
Loughran McDonald (Absolute)
-0.33333
Somewhat Negative
Loughran McDonald (Logit)
-0.51083
Harvard-IV (Relative)
0.28571
Slightly Positive
Harvard-IV (Absolute)
0.28571
Slightly Positive
Harvard-IV (Logit)
0.54654
VADER
-0.875
Very Negative
Moderation
Harassment
0.1809702604
OpenAI Moderation v1 (007)
Violence
0.0510270067
OpenAI Moderation v1 (007)
Hate
0.0307191367
OpenAI Moderation v1 (007)
Violence > Graphic
0.0109301502
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0018603267
OpenAI Moderation v1 (007)
Sexual
0.000326845
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001193289
OpenAI Moderation v1 (007)
Self-Harm
0.0001139679
OpenAI Moderation v1 (007)
Hate > Threatening
3.57655E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.44153E-5
OpenAI Moderation v1 (007)
Sexual > Minors
1.84758E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Disaster and Accident > Relief and Aid Organization
Score:
100
Magnitude:
0.187
Code:
3012000
Url:
https://cv.iptc.org/newscodes/subjectcode/03012000
Wikidata_id:
Q11858035
Wikidata_label:
emergency response
Source:
IPTC Subject
Topic:
Labor > Employment
Score:
91
Magnitude:
0.17
Code:
9003000
Url:
https://cv.iptc.org/newscodes/subjectcode/09003000
Wikidata_id:
Q656365
Wikidata_label:
employment
Source:
IPTC Subject
Topic:
Defense
Score:
66.601
Magnitude:
56
Code:
16
Url:
https://fsc.al/cap-mc#16
Source:
Comparative Agendas
Topic:
International Affairs
Score:
27.65
Magnitude:
56
Code:
19
Url:
https://fsc.al/cap-mc#19
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
49.9
Gunning-Fog Score
17.2
Coleman-Liau Index
10.4
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
4.4
Sprache Readability Score
5
Dale-Chall Difficult Word Score
17
Sprache Difficult Word Count
20

Warren Rudman

Again, thank you for inviting us. It is always a privilege to appear here, and let me repeat how I started. I do believe that people who are motivated and dedicated to get something done can get it done. You can get this done. I am sure of it.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.11111
Leans Positive
Harvard-IV (Absolute)
0.11111
Leans Positive
Harvard-IV (Logit)
0.20067
VADER
0.927
Very Positive
Moderation
Sexual
0.0246459502
OpenAI Moderation v1 (007)
Violence
0.00700807
OpenAI Moderation v1 (007)
Violence > Graphic
0.0035505425
OpenAI Moderation v1 (007)
Harassment
0.0032392905
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0012536606
OpenAI Moderation v1 (007)
Sexual > Minors
0.0004768808
OpenAI Moderation v1 (007)
Self-Harm
0.0001755227
OpenAI Moderation v1 (007)
Hate
6.56979E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
4.56958E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.60028E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.56666E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Arts, Culture and Entertainment > Culture (General)
Score:
100
Magnitude:
0.071
Code:
1022000
Url:
https://cv.iptc.org/newscodes/subjectcode/01022000
Wikidata_id:
Q11042
Wikidata_label:
culture
Source:
IPTC Subject
Topic:
Social Issue > People
Score:
79
Magnitude:
0.056
Code:
14024000
Url:
https://cv.iptc.org/newscodes/subjectcode/14024000
Wikidata_id:
Q1156970
Wikidata_label:
humanity
Source:
IPTC Subject
Topic:
Politics
Score:
75
Magnitude:
0.053
Code:
11000000
Url:
https://cv.iptc.org/newscodes/subjectcode/11000000
Wikidata_id:
Q7163
Wikidata_label:
politics
Source:
IPTC Subject
Topic:
Law and Crime
Score:
69.889
Magnitude:
94
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
4.6
Flesch-Kincaid Ease
79.5
Gunning-Fog Score
8
Coleman-Liau Index
6.8
SMOG Index
9
Automated Readability Index
1.5
Dale-Chall Readability Score
2.4
Sprache Readability Score
2.3
Dale-Chall Difficult Word Score
6
Sprache Difficult Word Count
6

Jon Kyl

Thank you very much, Senator Rudman. Sometimes, too, it just takes somebody that can separate the wheat from the chaff and get right to the point. It sounds very clear and very simple when you say it. I suppose when we go back and try to do all of this stuff, it will all of a sudden get very complicated. But you are always very good at getting right to the point and I think that is what is going to be especially useful to us here. Thank you.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
0.922
Very Positive
Moderation
Self-Harm > Intent
2.9825307429
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.7116872594
OpenAI Moderation v1 (007)
Self-Harm
1.4074455947
OpenAI Moderation v1 (007)
Sexual > Minors
0.9468708187
OpenAI Moderation v1 (007)
Sexual
0.9120864794
OpenAI Moderation v1 (007)
Hate
0.6560627837
OpenAI Moderation v1 (007)
Harassment
0.2248732839
OpenAI Moderation v1 (007)
Hate > Threatening
0.1442899578
OpenAI Moderation v1 (007)
Violence
0.1299159485
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0911485753
OpenAI Moderation v1 (007)
Violence > Graphic
0.0489499827
OpenAI Moderation v1 (007)
Topics
Topic:
Crime, Law and Justice > Justice and Rights
Score:
100
Magnitude:
0.094
Code:
2007000
Url:
https://cv.iptc.org/newscodes/subjectcode/02007000
Wikidata_id:
Q5167661
Wikidata_label:
justice
Source:
IPTC Subject
Topic:
Politics > Parliament
Score:
66
Magnitude:
0.062
Code:
11009000
Url:
https://cv.iptc.org/newscodes/subjectcode/11009000
Wikidata_id:
Q35749
Wikidata_label:
parliament
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
5.6
Flesch-Kincaid Ease
81.5
Gunning-Fog Score
8.2
Coleman-Liau Index
7.1
SMOG Index
9
Automated Readability Index
4.4
Dale-Chall Readability Score
1.8
Sprache Readability Score
3.6
Dale-Chall Difficult Word Score
6
Sprache Difficult Word Count
14

Jon Kyl

Mr. Richard Clarke.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
0
Neutral
Moderation
Violence
0.0145750091
OpenAI Moderation v1 (007)
Sexual
0.0067980611
OpenAI Moderation v1 (007)
Violence > Graphic
0.0044239536
OpenAI Moderation v1 (007)
Harassment
0.0040584357
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0013889093
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001130575
OpenAI Moderation v1 (007)
Self-Harm
0.0001054592
OpenAI Moderation v1 (007)
Hate
3.71077E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.17022E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.05702E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.8286E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
4.7
Flesch-Kincaid Ease
64.3
Gunning-Fog Score
0.6
Coleman-Liau Index
12
SMOG Index
3.3
Automated Readability Index
2.9
Dale-Chall Readability Score
10
Sprache Readability Score
1.1
Dale-Chall Difficult Word Score
3
Sprache Difficult Word Count
3

Richard Clarke

Mr. Chairman, it is an honor to be before this Committee again and I just want to say on a personal note before I begin that when I was in the White House under Democratic and Republican administrations, long before this issue was sexy or popular I could count on you and Senator Feinstein. I am glad to see that you are persistent and diligent on this issue because there is still a lot of work to be done.
Sentiment
Loughran McDonald (Relative)
0.5
Positive
Loughran McDonald (Absolute)
0.5
Positive
Loughran McDonald (Logit)
0.8473
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
2.19722
VADER
0.914
Very Positive
Moderation
Sexual
0.0225739408
OpenAI Moderation v1 (007)
Violence > Graphic
0.0213935899
OpenAI Moderation v1 (007)
Violence
0.0154998925
OpenAI Moderation v1 (007)
Sexual > Minors
0.0017688159
OpenAI Moderation v1 (007)
Harassment
0.0016307336
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0010129489
OpenAI Moderation v1 (007)
Self-Harm
0.0009798739
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.000156849
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0001402722
OpenAI Moderation v1 (007)
Hate
9.08796E-5
OpenAI Moderation v1 (007)
Hate > Threatening
8.4675E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Parliament
Score:
100
Magnitude:
0.128
Code:
11009000
Url:
https://cv.iptc.org/newscodes/subjectcode/11009000
Wikidata_id:
Q35749
Wikidata_label:
parliament
Source:
IPTC Subject
Topic:
Economy, Business and Finance > Construction and Property
Score:
54
Magnitude:
0.069
Code:
4004000
Url:
https://cv.iptc.org/newscodes/subjectcode/04004000
Source:
IPTC Subject
Topic:
Politics > Election
Score:
54
Magnitude:
0.07
Code:
11003000
Url:
https://cv.iptc.org/newscodes/subjectcode/11003000
Wikidata_id:
Q40231
Wikidata_label:
public election
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
11.7
Flesch-Kincaid Ease
58
Gunning-Fog Score
13.1
Coleman-Liau Index
8.3
SMOG Index
12
Automated Readability Index
11.1
Dale-Chall Readability Score
4.3
Sprache Readability Score
5
Dale-Chall Difficult Word Score
15
Sprache Difficult Word Count
15

Richard Clarke

I will try to be brief and to the point and talk only about one thing and that is program planning, budgeting, process, and standards. We began asking the question how much is enough in the Pentagon in 1961, under Bob McNamara, and there was a great book published that year called How Much Is Enough about Pentagon budgeting.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
-0.2
Slightly Negative
Harvard-IV (Absolute)
-0.2
Slightly Negative
Harvard-IV (Logit)
-0.33647
VADER
0.625
Very Positive
Moderation
Harassment
0.0114960116
OpenAI Moderation v1 (007)
Hate
0.0065556036
OpenAI Moderation v1 (007)
Sexual
0.0024024381
OpenAI Moderation v1 (007)
Violence
0.0010218266
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0003107561
OpenAI Moderation v1 (007)
Violence > Graphic
0.0002097414
OpenAI Moderation v1 (007)
Sexual > Minors
8.87299E-5
OpenAI Moderation v1 (007)
Self-Harm
1.66198E-5
OpenAI Moderation v1 (007)
Hate > Threatening
9.5731E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
4.756E-7
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.655E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Arts, Culture and Entertainment > Literature
Score:
100
Magnitude:
0.057
Code:
1010000
Url:
https://cv.iptc.org/newscodes/subjectcode/01010000
Wikidata_id:
Q8242
Wikidata_label:
literature
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
56.4
Gunning-Fog Score
13.8
Coleman-Liau Index
9.8
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
4.9
Sprache Readability Score
5
Dale-Chall Difficult Word Score
13
Sprache Difficult Word Count
13

Richard Clarke

We have established over the years in the Pentagon a system of trying to figure out how much is enough. Now, we could all disagree about how much is enough, but at least in the Pentagon there is a process that allows you to quantify and have empirical data about how much is enough. There is a process that the Pentagon does every year. It starts with a threat assessment. It then has the military services stating what they believe are the requirements that they need to have.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.60944
Harvard-IV (Relative)
-0.42857
Negative
Harvard-IV (Absolute)
-0.42857
Negative
Harvard-IV (Logit)
-0.78846
VADER
-0.751
Very Negative
Moderation
Sexual
0.0382365921
OpenAI Moderation v1 (007)
Violence
0.007990325
OpenAI Moderation v1 (007)
Violence > Graphic
0.0029114048
OpenAI Moderation v1 (007)
Sexual > Minors
0.0015379577
OpenAI Moderation v1 (007)
Harassment
0.0013361437
OpenAI Moderation v1 (007)
Self-Harm
0.0011701548
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0008287909
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0002669605
OpenAI Moderation v1 (007)
Hate
3.08477E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.22063E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
9.8596E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Defense
Score:
100
Magnitude:
0.075
Code:
11001000
Url:
https://cv.iptc.org/newscodes/subjectcode/11001000
Wikidata_id:
Q17991228
Wikidata_label:
national defence
Source:
IPTC Subject
Topic:
Defense
Score:
94.88
Magnitude:
58
Code:
16
Url:
https://fsc.al/cap-mc#16
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
8.6
Flesch-Kincaid Ease
65
Gunning-Fog Score
11.1
Coleman-Liau Index
9.8
SMOG Index
12
Automated Readability Index
7.9
Dale-Chall Readability Score
3.9
Sprache Readability Score
4.1
Dale-Chall Difficult Word Score
17
Sprache Difficult Word Count
16

Richard Clarke

Now, every year the Navy says it needs 15 carrier battle groups. We understand that and they are never going to get 15, but they say that is their requirement. That is fine, and then the Secretary of Defense says here are my priorities and here is how much money you are going to have. And then, finally, that turns into program decisions for specific programs.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
-0.2
Slightly Negative
Harvard-IV (Absolute)
-0.2
Slightly Negative
Harvard-IV (Logit)
-0.33647
VADER
0.285
Slightly Positive
Moderation
Sexual
0.0119304939
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0100383309
OpenAI Moderation v1 (007)
Violence
0.0066779794
OpenAI Moderation v1 (007)
Violence > Graphic
0.0043629934
OpenAI Moderation v1 (007)
Harassment
0.004057592
OpenAI Moderation v1 (007)
Sexual > Minors
0.0039523391
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0003003986
OpenAI Moderation v1 (007)
Hate
0.0002306776
OpenAI Moderation v1 (007)
Self-Harm
0.0002024396
OpenAI Moderation v1 (007)
Hate > Threatening
9.25594E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
8.22741E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Crime, Law and Justice > Punishment > Fine
Score:
100
Magnitude:
0.169
Code:
2004001
Url:
https://cv.iptc.org/newscodes/subjectcode/02004001
Wikidata_id:
Q1243001
Wikidata_label:
fine
Source:
IPTC Subject
Topic:
Economy, Business and Finance > Transport > Road Transport
Score:
99
Magnitude:
0.167
Code:
4015003
Url:
https://cv.iptc.org/newscodes/subjectcode/04015003
Wikidata_id:
Q516739
Wikidata_label:
road transport
Source:
IPTC Subject
Topic:
Defense
Score:
96.483
Magnitude:
88
Code:
16
Url:
https://fsc.al/cap-mc#16
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
7.5
Flesch-Kincaid Ease
70.9
Gunning-Fog Score
11.4
Coleman-Liau Index
9.4
SMOG Index
12
Automated Readability Index
7
Dale-Chall Readability Score
2.7
Sprache Readability Score
3.7
Dale-Chall Difficult Word Score
8
Sprache Difficult Word Count
13

Richard Clarke

It is all done on three levels -- a high budget, a medium budget, a low budget -- and it is all done over 5 years so that we are able to have arguments not just that my number is better than your number, which is what is going on now in homeland security, but rather this program meets this requirement; it does so over this period of time, and this program is more important than that program. And we can move components of the defense budget around and it is a very rational process by comparison to what is going on now in homeland security.
Sentiment
Loughran McDonald (Relative)
-0.5
Very Negative
Loughran McDonald (Absolute)
-0.5
Very Negative
Loughran McDonald (Logit)
-0.8473
Harvard-IV (Relative)
0.75
Very Positive
Harvard-IV (Absolute)
0.75
Very Positive
Harvard-IV (Logit)
1.60944
VADER
0.79
Very Positive
Moderation
Violence > Graphic
0.0186054327
OpenAI Moderation v1 (007)
Violence
0.011099672
OpenAI Moderation v1 (007)
Harassment
0.0051813582
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0006358634
OpenAI Moderation v1 (007)
Sexual
0.0004321895
OpenAI Moderation v1 (007)
Hate
0.0002661669
OpenAI Moderation v1 (007)
Sexual > Minors
0.000225069
OpenAI Moderation v1 (007)
Self-Harm
3.49373E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.44028E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.31041E-5
OpenAI Moderation v1 (007)
Hate > Threatening
8.827E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance > Macro Economics > Budgets and Budgeting
Score:
100
Magnitude:
0.135
Code:
4008019
Url:
https://cv.iptc.org/newscodes/subjectcode/04008019
Wikidata_id:
Q41263
Wikidata_label:
budget
Source:
IPTC Subject
Topic:
Defense
Score:
96.011
Magnitude:
64
Code:
16
Url:
https://fsc.al/cap-mc#16
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
32
Gunning-Fog Score
19
Coleman-Liau Index
8.3
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
5.5
Sprache Readability Score
5
Dale-Chall Difficult Word Score
19
Sprache Difficult Word Count
16

Richard Clarke

You don't know how much is enough and we don't know how much is enough. We have done a process, we have put a number on the table. The Homeland Security Department says it is way too big. They said we must have been trying to gold-plate telephones. Well, we are not trying to gold-plate telephones. We just want communications equipment that works. Tragically, it did not in New York on September 11 and that is why we lost so many members of the New York Fire Department, because the radios didn't work inside the building.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.94591
Harvard-IV (Relative)
-0.11111
Leans Negative
Harvard-IV (Absolute)
-0.11111
Leans Negative
Harvard-IV (Logit)
-0.20067
VADER
-0.511
Very Negative
Moderation
Harassment
0.0100409066
OpenAI Moderation v1 (007)
Violence
0.008867462
OpenAI Moderation v1 (007)
Hate
0.0035571549
OpenAI Moderation v1 (007)
Violence > Graphic
0.002414669
OpenAI Moderation v1 (007)
Sexual
0.0004652807
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0003512586
OpenAI Moderation v1 (007)
Sexual > Minors
6.23654E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
4.40892E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.87263E-5
OpenAI Moderation v1 (007)
Self-Harm
1.76332E-5
OpenAI Moderation v1 (007)
Hate > Threatening
4.9635E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Labor > Health and Safety at Work
Score:
100
Magnitude:
0.165
Code:
9013000
Url:
https://cv.iptc.org/newscodes/subjectcode/09013000
Wikidata_id:
Q629029
Wikidata_label:
occupational health and safety
Source:
IPTC Subject
Topic:
Defense
Score:
95.968
Magnitude:
105
Code:
16
Url:
https://fsc.al/cap-mc#16
Source:
Comparative Agendas
Topic:
Disaster and Accident > Fire
Score:
54
Magnitude:
0.09
Code:
3004000
Url:
https://cv.iptc.org/newscodes/subjectcode/03004000
Wikidata_id:
Q3196
Wikidata_label:
fire
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
6
Flesch-Kincaid Ease
76.9
Gunning-Fog Score
8
Coleman-Liau Index
8.9
SMOG Index
10.4
Automated Readability Index
5.3
Dale-Chall Readability Score
2.8
Sprache Readability Score
3.5
Dale-Chall Difficult Word Score
13
Sprache Difficult Word Count
14

Richard Clarke

We want to be able to have an argument, not my number is right and your number is wrong, based on nothing or little or nothing. We want to have a process where there is empirical data and there are standards. What does every metropolitan area of a given size need for its hospitals, for its EMS, for its 911, for its public health system, for its police, for its fire department? We don't have that data today.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.94591
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
-0.763
Very Negative
Moderation
Violence
0.0134340444
OpenAI Moderation v1 (007)
Sexual
0.0099576559
OpenAI Moderation v1 (007)
Harassment
0.0055937333
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0045907404
OpenAI Moderation v1 (007)
Violence > Graphic
0.0041679647
OpenAI Moderation v1 (007)
Self-Harm
0.0032339231
OpenAI Moderation v1 (007)
Sexual > Minors
0.0027525926
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0023693034
OpenAI Moderation v1 (007)
Hate
0.0017556369
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0003486425
OpenAI Moderation v1 (007)
Hate > Threatening
0.000224856
OpenAI Moderation v1 (007)
Topics
Topic:
Health
Score:
100
Magnitude:
0.083
Code:
7000000
Url:
https://cv.iptc.org/newscodes/subjectcode/07000000
Wikidata_id:
Q12147
Wikidata_label:
health
Source:
IPTC Subject
Topic:
Crime, Law and Justice > Justice and Rights
Score:
97
Magnitude:
0.08
Code:
2007000
Url:
https://cv.iptc.org/newscodes/subjectcode/02007000
Wikidata_id:
Q5167661
Wikidata_label:
justice
Source:
IPTC Subject
Topic:
Health > Hospital and Clinic
Score:
95
Magnitude:
0.079
Code:
7010000
Url:
https://cv.iptc.org/newscodes/subjectcode/07010000
Wikidata_id:
Q559392
Wikidata_label:
Medicare
Source:
IPTC Subject
Topic:
Crime, Law and Justice > Police
Score:
91
Magnitude:
0.076
Code:
2003000
Url:
https://cv.iptc.org/newscodes/subjectcode/02003000
Wikidata_id:
Q35535
Wikidata_label:
police
Source:
IPTC Subject
Topic:
Disaster and Accident > Fire
Score:
85
Magnitude:
0.071
Code:
3004000
Url:
https://cv.iptc.org/newscodes/subjectcode/03004000
Wikidata_id:
Q3196
Wikidata_label:
fire
Source:
IPTC Subject
Topic:
Arts, Culture and Entertainment > Library and Museum
Score:
61
Magnitude:
0.051
Code:
1009000
Url:
https://cv.iptc.org/newscodes/subjectcode/01009000
Wikidata_id:
Q3152824
Wikidata_label:
cultural institution
Source:
IPTC Subject
Topic:
Technology
Score:
55.243
Magnitude:
95
Code:
17
Url:
https://fsc.al/cap-mc#17
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
8.5
Flesch-Kincaid Ease
68.8
Gunning-Fog Score
10.9
Coleman-Liau Index
8.2
SMOG Index
10.3
Automated Readability Index
7.5
Dale-Chall Readability Score
3.6
Sprache Readability Score
4.3
Dale-Chall Difficult Word Score
13
Sprache Difficult Word Count
16

Richard Clarke

Now, if we could agree on targets, then we can talk about should we do that over 5 years or should we do it over 3 years. Should we do it first for cities of a million people or more and later for smaller towns? We don't have that process.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
0.361
Somewhat Positive
Moderation
Violence
0.1228622161
OpenAI Moderation v1 (007)
Violence > Graphic
0.0241021306
OpenAI Moderation v1 (007)
Harassment
0.0040588227
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0012475969
OpenAI Moderation v1 (007)
Hate
0.0006104505
OpenAI Moderation v1 (007)
Sexual
0.0002215847
OpenAI Moderation v1 (007)
Sexual > Minors
6.01844E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.52843E-5
OpenAI Moderation v1 (007)
Hate > Threatening
2.33748E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.19163E-5
OpenAI Moderation v1 (007)
Self-Harm
1.50944E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Health
Score:
81.906
Magnitude:
77
Code:
3
Url:
https://fsc.al/cap-mc#3
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
5.1
Flesch-Kincaid Ease
88.4
Gunning-Fog Score
7.5
Coleman-Liau Index
5.6
SMOG Index
6.6
Automated Readability Index
4
Dale-Chall Readability Score
2.1
Sprache Readability Score
3.2
Dale-Chall Difficult Word Score
4
Sprache Difficult Word Count
6

Richard Clarke

If there is one thing this Committee, and I hope Chairman Cox's Committee could do this year that will make the process better next year, it is legislatively require the Department of Homeland Security to come in with a program planning and budget process, not unlike the Pentagon's, that tells us what the threat is, what the requirements are to meet that threat, and what alternative numbers are so that we can say we are going to do so much this year and we are going to have it done over 3 years or over 5 years against a set of defined standards. Mayors and Governors today don't know how well prepared they are because they don't know what the standards are because no one has told them.
Sentiment
Loughran McDonald (Relative)
-0.33333
Somewhat Negative
Loughran McDonald (Absolute)
-0.33333
Somewhat Negative
Loughran McDonald (Logit)
-0.51083
Harvard-IV (Relative)
0.63636
Very Positive
Harvard-IV (Absolute)
0.63636
Very Positive
Harvard-IV (Logit)
1.335
VADER
-0.057
Neutral
Moderation
Violence
0.1607423066
OpenAI Moderation v1 (007)
Violence > Graphic
0.123749359
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0013213823
OpenAI Moderation v1 (007)
Harassment
0.0012004461
OpenAI Moderation v1 (007)
Sexual
0.0004897654
OpenAI Moderation v1 (007)
Sexual > Minors
0.0003042998
OpenAI Moderation v1 (007)
Hate
0.0002552915
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0001926181
OpenAI Moderation v1 (007)
Self-Harm > Intent
5.75412E-5
OpenAI Moderation v1 (007)
Self-Harm
3.63528E-5
OpenAI Moderation v1 (007)
Hate > Threatening
3.5375E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Local Authority
Score:
100
Magnitude:
0.096
Code:
11008000
Url:
https://cv.iptc.org/newscodes/subjectcode/11008000
Wikidata_id:
Q6501447
Wikidata_label:
local government
Source:
IPTC Subject
Topic:
Politics > Regional Authority
Score:
79
Magnitude:
0.076
Code:
11012000
Url:
https://cv.iptc.org/newscodes/subjectcode/11012000
Wikidata_id:
Q1802419
Wikidata_label:
state government
Source:
IPTC Subject
Topic:
Government Operations
Score:
55.506
Magnitude:
48
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
28.9
Gunning-Fog Score
19
Coleman-Liau Index
9.6
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
6.4
Sprache Readability Score
5
Dale-Chall Difficult Word Score
26
Sprache Difficult Word Count
25

Richard Clarke

I think this is a non-partisan issue, I think it is an empirical data issue, I think it is a program and budget issue. Until we establish a system, we are probably just throwing away money.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.33333
Somewhat Positive
Harvard-IV (Absolute)
0.33333
Somewhat Positive
Harvard-IV (Logit)
0.51083
VADER
0
Neutral
Moderation
Violence > Graphic
0.2169741085
OpenAI Moderation v1 (007)
Violence
0.0499341753
OpenAI Moderation v1 (007)
Harassment
0.0018002343
OpenAI Moderation v1 (007)
Sexual
0.0005192876
OpenAI Moderation v1 (007)
Harassment > Threatening
0.000487915
OpenAI Moderation v1 (007)
Hate
0.0002776292
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001497292
OpenAI Moderation v1 (007)
Self-Harm
1.96651E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
8.7308E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
7.9528E-6
OpenAI Moderation v1 (007)
Hate > Threatening
4.6917E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Politics
Score:
100
Magnitude:
0.074
Code:
11000000
Url:
https://cv.iptc.org/newscodes/subjectcode/11000000
Wikidata_id:
Q7163
Wikidata_label:
politics
Source:
IPTC Subject
Topic:
Economy, Business and Finance > Macro Economics > Budgets and Budgeting
Score:
99
Magnitude:
0.073
Code:
4008019
Url:
https://cv.iptc.org/newscodes/subjectcode/04008019
Wikidata_id:
Q41263
Wikidata_label:
budget
Source:
IPTC Subject
Topic:
Defense
Score:
92.56
Magnitude:
126
Code:
16
Url:
https://fsc.al/cap-mc#16
Source:
Comparative Agendas
Topic:
Arts, Culture and Entertainment > Mass Media
Score:
83
Magnitude:
0.062
Code:
1026000
Url:
https://cv.iptc.org/newscodes/subjectcode/01026000
Wikidata_id:
Q11033
Wikidata_label:
mass media
Source:
IPTC Subject
Topic:
Arts, Culture and Entertainment > Culture (General)
Score:
78
Magnitude:
0.058
Code:
1022000
Url:
https://cv.iptc.org/newscodes/subjectcode/01022000
Wikidata_id:
Q11042
Wikidata_label:
culture
Source:
IPTC Subject
Topic:
Social Issue
Score:
69
Magnitude:
0.051
Code:
14000000
Url:
https://cv.iptc.org/newscodes/subjectcode/14000000
Wikidata_id:
Q8425
Wikidata_label:
society
Source:
IPTC Subject
Topic:
Social Issue > People
Score:
69
Magnitude:
0.051
Code:
14024000
Url:
https://cv.iptc.org/newscodes/subjectcode/14024000
Wikidata_id:
Q1156970
Wikidata_label:
humanity
Source:
IPTC Subject
Topic:
Science and Technology > Science (General)
Score:
68
Magnitude:
0.05
Code:
13009000
Url:
https://cv.iptc.org/newscodes/subjectcode/13009000
Wikidata_id:
Q34104
Wikidata_label:
science and technology
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
9.8
Flesch-Kincaid Ease
57.7
Gunning-Fog Score
11.7
Coleman-Liau Index
7.7
SMOG Index
11.3
Automated Readability Index
6.7
Dale-Chall Readability Score
6.5
Sprache Readability Score
3.7
Dale-Chall Difficult Word Score
13
Sprache Difficult Word Count
10

Richard Clarke

Thank you, Mr. Chairman.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.09861
VADER
0.361
Somewhat Positive
Moderation
Harassment
0.1309540938
OpenAI Moderation v1 (007)
Violence
0.0895080331
OpenAI Moderation v1 (007)
Violence > Graphic
0.0834604609
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0133986076
OpenAI Moderation v1 (007)
Hate
0.0082756305
OpenAI Moderation v1 (007)
Sexual
0.0063475803
OpenAI Moderation v1 (007)
Sexual > Minors
0.003101111
OpenAI Moderation v1 (007)
Self-Harm
0.0015575681
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.000776833
OpenAI Moderation v1 (007)
Hate > Threatening
0.000695694
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0003688182
OpenAI Moderation v1 (007)
Topics
Topic:
Government Operations
Score:
78.882
Magnitude:
36
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
0
Flesch-Kincaid Ease
99.1
Gunning-Fog Score
0.8
Coleman-Liau Index
10.6
SMOG Index
3.3
Automated Readability Index
0.8
Dale-Chall Readability Score
8
Sprache Readability Score
1.1
Dale-Chall Difficult Word Score
2
Sprache Difficult Word Count
2

Note

[The prepared statement of Mr. Clarke appears as a submission for the record.]
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
0
Neutral
Moderation
Violence > Graphic
0.0859674299
OpenAI Moderation v1 (007)
Violence
0.0822631293
OpenAI Moderation v1 (007)
Harassment
0.0212496932
OpenAI Moderation v1 (007)
Hate
0.003325933
OpenAI Moderation v1 (007)
Self-Harm
0.0027338616
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0018764269
OpenAI Moderation v1 (007)
Sexual
0.0009948357
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0005386281
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0004903668
OpenAI Moderation v1 (007)
Sexual > Minors
4.73686E-5
OpenAI Moderation v1 (007)
Hate > Threatening
7.3812E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
Flesch-Kincaid Ease
Gunning-Fog Score
Coleman-Liau Index
SMOG Index
Automated Readability Index
Dale-Chall Readability Score
Sprache Readability Score
Dale-Chall Difficult Word Score
Sprache Difficult Word Count

Jon Kyl

Mr. Clarke, thank you very, very much, and again welcome back to this Committee. You have provided this Committee with a great deal of both open-source and classified material over the years and we appreciate your assistance very much.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.09861
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
2.70805
VADER
0.906
Very Positive
Moderation
Violence
0.0366824999
OpenAI Moderation v1 (007)
Violence > Graphic
0.0313932047
OpenAI Moderation v1 (007)
Harassment
0.0036129593
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0015896881
OpenAI Moderation v1 (007)
Sexual
0.0014059136
OpenAI Moderation v1 (007)
Sexual > Minors
0.0003499312
OpenAI Moderation v1 (007)
Hate
0.000233149
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0001560849
OpenAI Moderation v1 (007)
Self-Harm
0.0001299274
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001243549
OpenAI Moderation v1 (007)
Hate > Threatening
2.52807E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Sport > Basketball
Score:
100
Magnitude:
0.084
Code:
15008000
Url:
https://cv.iptc.org/newscodes/subjectcode/15008000
Wikidata_id:
Q5372
Wikidata_label:
basketball
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
8.5
Flesch-Kincaid Ease
57.9
Gunning-Fog Score
10.3
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
7.6
Dale-Chall Readability Score
4.6
Sprache Readability Score
3.2
Dale-Chall Difficult Word Score
10
Sprache Difficult Word Count
11

Jon Kyl

Dr. Paul Posner, welcome and thank you for being here as well.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.60944
VADER
0.765
Very Positive
Moderation
Violence > Graphic
0.0424029829
OpenAI Moderation v1 (007)
Violence
0.0169302875
OpenAI Moderation v1 (007)
Sexual > Minors
0.0076906064
OpenAI Moderation v1 (007)
Sexual
0.0066821325
OpenAI Moderation v1 (007)
Harassment
0.002669907
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0008282014
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.42026E-5
OpenAI Moderation v1 (007)
Hate
3.15699E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.74355E-5
OpenAI Moderation v1 (007)
Self-Harm
8.7582E-6
OpenAI Moderation v1 (007)
Hate > Threatening
2.4073E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Arts, Culture and Entertainment > Culture (General)
Score:
100
Magnitude:
0.051
Code:
1022000
Url:
https://cv.iptc.org/newscodes/subjectcode/01022000
Wikidata_id:
Q11042
Wikidata_label:
culture
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
1.5
Flesch-Kincaid Ease
95
Gunning-Fog Score
2.4
Coleman-Liau Index
7.7
SMOG Index
3.3
Automated Readability Index
0.4
Dale-Chall Readability Score
4.2
Sprache Readability Score
1.8
Dale-Chall Difficult Word Score
3
Sprache Difficult Word Count
5

Jon Kyl

STATEMENT OF PAUL L. POSNER, MANAGING DIRECTOR, FEDERAL BUDGET ISSUES AND INTERGOVERNMENTAL RELATIONS, STRATEGIC ISSUES,
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.09861
VADER
0.459
Positive
Moderation
Violence
0.01583056
OpenAI Moderation v1 (007)
Violence > Graphic
0.0063435684
OpenAI Moderation v1 (007)
Harassment
0.0018195376
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0007350808
OpenAI Moderation v1 (007)
Sexual
0.0007090006
OpenAI Moderation v1 (007)
Sexual > Minors
0.0004825886
OpenAI Moderation v1 (007)
Self-Harm
0.0003489082
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.000318981
OpenAI Moderation v1 (007)
Hate
0.0003032852
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0002502284
OpenAI Moderation v1 (007)
Hate > Threatening
7.7035E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Social Issue > Family
Score:
100
Magnitude:
0.057
Code:
14006000
Url:
https://cv.iptc.org/newscodes/subjectcode/14006000
Wikidata_id:
Q8436
Wikidata_label:
family
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
1.8
Gunning-Fog Score
3
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
10
Sprache Readability Score
2.5
Dale-Chall Difficult Word Score
12
Sprache Difficult Word Count
11

Paul Posner

Thank you, Mr. Chairman. I appreciate the opportunity.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.09861
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.94591
VADER
0.791
Very Positive
Moderation
Violence
0.08196946
OpenAI Moderation v1 (007)
Violence > Graphic
0.0450267486
OpenAI Moderation v1 (007)
Harassment
0.008613534
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0006603412
OpenAI Moderation v1 (007)
Hate
0.0002903876
OpenAI Moderation v1 (007)
Sexual
0.000248173
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001108537
OpenAI Moderation v1 (007)
Self-Harm > Instructions
5.53234E-5
OpenAI Moderation v1 (007)
Self-Harm
2.89211E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.95981E-5
OpenAI Moderation v1 (007)
Hate > Threatening
3.7649E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
9.1
Flesch-Kincaid Ease
34.9
Gunning-Fog Score
11.1
Coleman-Liau Index
12
SMOG Index
7.9
Automated Readability Index
5.2
Dale-Chall Readability Score
8
Sprache Readability Score
1.3
Dale-Chall Difficult Word Score
4
Sprache Difficult Word Count
4

Paul Posner

First, let me say that the Council's report, I think, does the valuable service of setting the stage to really rethink how we design and manage a partnership because, as we know, this problem exceeds the capacity of any one level to address effectively.
Sentiment
Loughran McDonald (Relative)
0.33333
Somewhat Positive
Loughran McDonald (Absolute)
0.33333
Somewhat Positive
Loughran McDonald (Logit)
0.51083
Harvard-IV (Relative)
0.25
Slightly Positive
Harvard-IV (Absolute)
0.25
Slightly Positive
Harvard-IV (Logit)
0.45199
VADER
0.718
Very Positive
Moderation
Violence
0.0038855633
OpenAI Moderation v1 (007)
Harassment
0.0020240359
OpenAI Moderation v1 (007)
Sexual
0.0019350042
OpenAI Moderation v1 (007)
Sexual > Minors
0.0007772435
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0003801967
OpenAI Moderation v1 (007)
Hate
0.0002198173
OpenAI Moderation v1 (007)
Violence > Graphic
0.0001397268
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.24447E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.12273E-5
OpenAI Moderation v1 (007)
Self-Harm
2.06316E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.76289E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Arts, Culture and Entertainment > Fashion
Score:
100
Magnitude:
0.056
Code:
1007000
Url:
https://cv.iptc.org/newscodes/subjectcode/01007000
Wikidata_id:
Q12684
Wikidata_label:
fashion
Source:
IPTC Subject
Topic:
Arts, Culture and Entertainment > Culture (General)
Score:
98
Magnitude:
0.055
Code:
1022000
Url:
https://cv.iptc.org/newscodes/subjectcode/01022000
Wikidata_id:
Q11042
Wikidata_label:
culture
Source:
IPTC Subject
Topic:
Social Issue
Score:
92
Magnitude:
0.052
Code:
14000000
Url:
https://cv.iptc.org/newscodes/subjectcode/14000000
Wikidata_id:
Q8425
Wikidata_label:
society
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
27.6
Gunning-Fog Score
19
Coleman-Liau Index
11.4
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
5.8
Sprache Readability Score
5
Dale-Chall Difficult Word Score
10
Sprache Difficult Word Count
16

Paul Posner

The report fills a void by highlighting significant gaps in preparedness, and the most important gap it really reveals is how little we know about something basic: how much are State and local governments spending on this function. I mean, there is a wide range, I think, $26 to $76 billion. We need to get better estimates of what is out there as we try to intervene in a targeted way to really make a dent in this problem.
Sentiment
Loughran McDonald (Relative)
-0.33333
Somewhat Negative
Loughran McDonald (Absolute)
-0.33333
Somewhat Negative
Loughran McDonald (Logit)
-0.51083
Harvard-IV (Relative)
0.23077
Slightly Positive
Harvard-IV (Absolute)
0.23077
Slightly Positive
Harvard-IV (Logit)
0.43532
VADER
0.697
Very Positive
Moderation
Harassment
0.064613251
OpenAI Moderation v1 (007)
Violence > Graphic
0.0112361631
OpenAI Moderation v1 (007)
Violence
0.0074967233
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0022495748
OpenAI Moderation v1 (007)
Hate
0.0015748266
OpenAI Moderation v1 (007)
Sexual
0.0001393498
OpenAI Moderation v1 (007)
Hate > Threatening
6.28489E-5
OpenAI Moderation v1 (007)
Self-Harm
2.89314E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.76109E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.65248E-5
OpenAI Moderation v1 (007)
Sexual > Minors
2.54092E-5
OpenAI Moderation v1 (007)
Topics
Topic:
International Affairs
Score:
33.406
Magnitude:
44
Code:
19
Url:
https://fsc.al/cap-mc#19
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
11.4
Flesch-Kincaid Ease
60.2
Gunning-Fog Score
16.6
Coleman-Liau Index
8.9
SMOG Index
12
Automated Readability Index
11.5
Dale-Chall Readability Score
4.9
Sprache Readability Score
5
Dale-Chall Difficult Word Score
18
Sprache Difficult Word Count
20

Paul Posner

The second thing we don't know is what should be spent to achieve a defined level of preparedness. Again, as the report notes, we can't do this with any precision because we really lack the fundamental standards and goals to define how much is enough.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.6
Very Positive
Harvard-IV (Absolute)
0.6
Very Positive
Harvard-IV (Logit)
1.09861
VADER
-0.374
Somewhat Negative
Moderation
Violence
0.0073178388
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0035237026
OpenAI Moderation v1 (007)
Harassment
0.0020745189
OpenAI Moderation v1 (007)
Violence > Graphic
0.0011824123
OpenAI Moderation v1 (007)
Sexual
0.0009537584
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0005257672
OpenAI Moderation v1 (007)
Sexual > Minors
0.0003670032
OpenAI Moderation v1 (007)
Self-Harm
0.00014866
OpenAI Moderation v1 (007)
Hate
0.0001003
OpenAI Moderation v1 (007)
Self-Harm > Instructions
5.87265E-5
OpenAI Moderation v1 (007)
Hate > Threatening
7.6249E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Government Operations
Score:
73.866
Magnitude:
77
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
10.2
Flesch-Kincaid Ease
61.8
Gunning-Fog Score
12.6
Coleman-Liau Index
10.5
SMOG Index
11.3
Automated Readability Index
10.9
Dale-Chall Readability Score
3.9
Sprache Readability Score
4.4
Dale-Chall Difficult Word Score
8
Sprache Difficult Word Count
13

Paul Posner

I think the report performs the service of beginning a dialogue to develop a more systematic baseline. I won't repeat what was said before, but there is a need for DHS and others to start this process. They could probably consult with other agencies who have been at this for a long time. We did a report highlighting best practices in needs assessments, thing like making sure that you subject needs to a kind of a cost/benefit test, making sure that you assess the needs against specific, discreet outcomes you want to achieve so that you are not just inventorying everything, but you are using some discriminate analysis. Those kinds of things are well-known and available to apply to this problem.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.18182
Leans Positive
Harvard-IV (Absolute)
0.18182
Leans Positive
Harvard-IV (Logit)
0.3514
VADER
0.947
Very Positive
Moderation
Sexual
0.0497609377
OpenAI Moderation v1 (007)
Violence > Graphic
0.0020326728
OpenAI Moderation v1 (007)
Violence
0.0020024368
OpenAI Moderation v1 (007)
Harassment
0.0017567625
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0012085685
OpenAI Moderation v1 (007)
Self-Harm
0.0005988227
OpenAI Moderation v1 (007)
Sexual > Minors
0.0003039503
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0002551292
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0001779776
OpenAI Moderation v1 (007)
Hate
0.0001422422
OpenAI Moderation v1 (007)
Hate > Threatening
1.8236E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Government Operations
Score:
34.627
Magnitude:
45
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
11.7
Flesch-Kincaid Ease
55.3
Gunning-Fog Score
15.4
Coleman-Liau Index
11.4
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
4.6
Sprache Readability Score
5
Dale-Chall Difficult Word Score
26
Sprache Difficult Word Count
32

Paul Posner

Given the many needs and high stakes, it is all the more important that scarce resources at the Federal level be geared to fund the highest-priority projects with the greatest potential impacts on the problem. To do this, fundamental changes will be necessary in Federal grants for homeland security in three basic areas.
Sentiment
Loughran McDonald (Relative)
0.33333
Somewhat Positive
Loughran McDonald (Absolute)
0.33333
Somewhat Positive
Loughran McDonald (Logit)
0.51083
Harvard-IV (Relative)
0.33333
Somewhat Positive
Harvard-IV (Absolute)
0.33333
Somewhat Positive
Harvard-IV (Logit)
0.58779
VADER
0.782
Very Positive
Moderation
Self-Harm > Intent
2.9730046168
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.7046267167
OpenAI Moderation v1 (007)
Self-Harm
1.4039890841
OpenAI Moderation v1 (007)
Sexual > Minors
0.9433081374
OpenAI Moderation v1 (007)
Sexual
0.9076331742
OpenAI Moderation v1 (007)
Hate
0.6565567572
OpenAI Moderation v1 (007)
Harassment
0.22452306
OpenAI Moderation v1 (007)
Hate > Threatening
0.1437725849
OpenAI Moderation v1 (007)
Violence
0.1294429065
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0909573573
OpenAI Moderation v1 (007)
Violence > Graphic
0.0487053709
OpenAI Moderation v1 (007)
Topics
Topic:
Law and Crime
Score:
87.658
Magnitude:
122
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
40
Gunning-Fog Score
16.7
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
7.5
Sprache Readability Score
5
Dale-Chall Difficult Word Score
21
Sprache Difficult Word Count
21

Paul Posner

One is the consolidation of fragmented programs, two is the better targeting of scare Federal funds, and three is providing accountability so that we know at the front end whether money is spent for purposes, not after the money has been spent.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.09861
Harvard-IV (Relative)
0.5
Positive
Harvard-IV (Absolute)
0.5
Positive
Harvard-IV (Logit)
0.95551
VADER
-0.077
Neutral
Moderation
Sexual
0.0869021169
OpenAI Moderation v1 (007)
Violence > Graphic
0.0064153472
OpenAI Moderation v1 (007)
Sexual > Minors
0.0038963015
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.003768806
OpenAI Moderation v1 (007)
Harassment
0.002581674
OpenAI Moderation v1 (007)
Violence
0.0022480801
OpenAI Moderation v1 (007)
Self-Harm
0.0018901268
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0012274343
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.000162722
OpenAI Moderation v1 (007)
Hate
0.0001115659
OpenAI Moderation v1 (007)
Hate > Threatening
1.27248E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Defense
Score:
85.844
Magnitude:
53
Code:
16
Url:
https://fsc.al/cap-mc#16
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
29.2
Gunning-Fog Score
19
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
5.8
Sprache Readability Score
5
Dale-Chall Difficult Word Score
10
Sprache Difficult Word Count
11

Paul Posner

On fragmentation, we have got a table on pages 6 and 8 of my statement that lists 21 first responder grants across three major departments. Different recipients get these grants. Some are local fire departments, some are State fire marshals, some are State governments, some are public health departments. The point is we are empowering different actors with grants when we should be requiring them to work together.
Sentiment
Loughran McDonald (Relative)
-0.33333
Somewhat Negative
Loughran McDonald (Absolute)
-0.33333
Somewhat Negative
Loughran McDonald (Logit)
-0.51083
Harvard-IV (Relative)
-0.5
Very Negative
Harvard-IV (Absolute)
-0.5
Very Negative
Harvard-IV (Logit)
-0.95551
VADER
-0.026
Neutral
Moderation
Violence
0.01137441
OpenAI Moderation v1 (007)
Violence > Graphic
0.0022623884
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0018145038
OpenAI Moderation v1 (007)
Harassment
0.0014558993
OpenAI Moderation v1 (007)
Hate
0.00035752
OpenAI Moderation v1 (007)
Sexual
4.51266E-5
OpenAI Moderation v1 (007)
Hate > Threatening
8.639E-6
OpenAI Moderation v1 (007)
Self-Harm
5.189E-7
OpenAI Moderation v1 (007)
Self-Harm > Intent
5.138E-7
OpenAI Moderation v1 (007)
Sexual > Minors
3.921E-7
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.075E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Disaster and Accident > Fire
Score:
100
Magnitude:
0.09
Code:
3004000
Url:
https://cv.iptc.org/newscodes/subjectcode/03004000
Wikidata_id:
Q3196
Wikidata_label:
fire
Source:
IPTC Subject
Topic:
Arts, Culture and Entertainment > Movies
Score:
91
Magnitude:
0.081
Code:
1005000
Url:
https://cv.iptc.org/newscodes/subjectcode/01005000
Wikidata_id:
Q16144339
Wikidata_label:
cinematography
Source:
IPTC Subject
Topic:
Labor > Health and Safety at Work
Score:
88
Magnitude:
0.079
Code:
9013000
Url:
https://cv.iptc.org/newscodes/subjectcode/09013000
Wikidata_id:
Q629029
Wikidata_label:
occupational health and safety
Source:
IPTC Subject
Topic:
Government Operations
Score:
56.738
Magnitude:
42
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Topic:
Macroeconomics
Score:
29.92
Magnitude:
42
Code:
1
Url:
https://fsc.al/cap-mc#1
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
8.4
Flesch-Kincaid Ease
65.2
Gunning-Fog Score
13.9
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
10.4
Dale-Chall Readability Score
4.6
Sprache Readability Score
4.2
Dale-Chall Difficult Word Score
16
Sprache Difficult Word Count
18

Paul Posner

Second, different allocation schemes are spread widely across this 21, all well-intentioned programs, all established in different times, in different places, to deal with the same problem.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.60944
Harvard-IV (Relative)
-0.66667
Very Negative
Harvard-IV (Absolute)
-0.66667
Very Negative
Harvard-IV (Logit)
-1.29928
VADER
-0.402
Negative
Moderation
Violence
0.0147997285
OpenAI Moderation v1 (007)
Harassment
0.006362659
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0047132413
OpenAI Moderation v1 (007)
Sexual
0.0019793328
OpenAI Moderation v1 (007)
Violence > Graphic
0.0006688774
OpenAI Moderation v1 (007)
Hate
0.0004865202
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.000294832
OpenAI Moderation v1 (007)
Sexual > Minors
0.0002620469
OpenAI Moderation v1 (007)
Self-Harm
0.0001409948
OpenAI Moderation v1 (007)
Hate > Threatening
9.34492E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
7.35687E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Law and Crime
Score:
28.582
Magnitude:
65
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
36.4
Gunning-Fog Score
19
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
5.9
Sprache Readability Score
4.7
Dale-Chall Difficult Word Score
8
Sprache Difficult Word Count
8

Paul Posner

And third is different requirements for matching, for other kinds of things, and the point is this has effects, real effects on performance. Some officials at the local level -- I used to be one -- might welcome this cafeteria approach to Federal grants. But I have had fire chiefs tell me they didn't get in business to figure out how to use the catalog of domestic assistance; they got in business to save lives. This is creating real confusion and complexity, high administrative costs, and inhibits coordination. Most importantly, it is very difficult to package these things together to address unique local needs.
Sentiment
Loughran McDonald (Relative)
-0.33333
Somewhat Negative
Loughran McDonald (Absolute)
-0.33333
Somewhat Negative
Loughran McDonald (Logit)
-0.58779
Harvard-IV (Relative)
0.09091
Neutral
Harvard-IV (Absolute)
0.09091
Neutral
Harvard-IV (Logit)
0.17435
VADER
0.557
Very Positive
Moderation
Violence
0.0125959574
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0083099832
OpenAI Moderation v1 (007)
Violence > Graphic
0.00569558
OpenAI Moderation v1 (007)
Harassment
0.002325147
OpenAI Moderation v1 (007)
Sexual
0.0004072839
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001962919
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001252844
OpenAI Moderation v1 (007)
Self-Harm
0.000105492
OpenAI Moderation v1 (007)
Self-Harm > Instructions
8.20789E-5
OpenAI Moderation v1 (007)
Hate
3.45172E-5
OpenAI Moderation v1 (007)
Hate > Threatening
9.5076E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance > Economy (General)
Score:
100
Magnitude:
0.109
Code:
4017000
Url:
https://cv.iptc.org/newscodes/subjectcode/04017000
Wikidata_id:
Q159810
Wikidata_label:
economy
Source:
IPTC Subject
Topic:
Government Operations
Score:
64.72
Magnitude:
26
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Topic:
Disaster and Accident > Industrial Accident
Score:
64
Magnitude:
0.069
Code:
3006000
Url:
https://cv.iptc.org/newscodes/subjectcode/03006000
Wikidata_id:
Q629257
Wikidata_label:
work accident
Source:
IPTC Subject
Topic:
Disaster and Accident > Fire
Score:
56
Magnitude:
0.061
Code:
3004000
Url:
https://cv.iptc.org/newscodes/subjectcode/03004000
Wikidata_id:
Q3196
Wikidata_label:
fire
Source:
IPTC Subject
Topic:
Sport > Basketball
Score:
56
Magnitude:
0.061
Code:
15008000
Url:
https://cv.iptc.org/newscodes/subjectcode/15008000
Wikidata_id:
Q5372
Wikidata_label:
basketball
Source:
IPTC Subject
Topic:
Economy, Business and Finance > Business (General)
Score:
51
Magnitude:
0.055
Code:
4018000
Url:
https://cv.iptc.org/newscodes/subjectcode/04018000
Wikidata_id:
Q159810
Wikidata_label:
economy
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
11.5
Flesch-Kincaid Ease
49.3
Gunning-Fog Score
14.8
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
11.8
Dale-Chall Readability Score
5.2
Sprache Readability Score
5
Dale-Chall Difficult Word Score
27
Sprache Difficult Word Count
30

Paul Posner

These are longstanding problems in Federal assistance and many other areas. There are options for rationalization, including consolidation, most importantly. Whether we call it block grants, I think we are going to have to figure out a way to package and consolidate these grants with national standards.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.60944
Harvard-IV (Relative)
0.71429
Very Positive
Harvard-IV (Absolute)
0.71429
Very Positive
Harvard-IV (Logit)
1.46634
VADER
-0.061
Neutral
Moderation
Violence
0.0070462862
OpenAI Moderation v1 (007)
Violence > Graphic
0.0057657919
OpenAI Moderation v1 (007)
Harassment
0.0022560671
OpenAI Moderation v1 (007)
Sexual
0.0018511806
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0015564841
OpenAI Moderation v1 (007)
Sexual > Minors
0.0002117229
OpenAI Moderation v1 (007)
Hate
0.0001544637
OpenAI Moderation v1 (007)
Self-Harm
4.65266E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.46944E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.19267E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.0417E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Sport > Basketball
Score:
100
Magnitude:
0.055
Code:
15008000
Url:
https://cv.iptc.org/newscodes/subjectcode/15008000
Wikidata_id:
Q5372
Wikidata_label:
basketball
Source:
IPTC Subject
Topic:
Government Operations
Score:
50.156
Magnitude:
104
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Topic:
Macroeconomics
Score:
20.398
Magnitude:
104
Code:
1
Url:
https://fsc.al/cap-mc#1
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
11.1
Flesch-Kincaid Ease
43.3
Gunning-Fog Score
13.9
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
11.7
Dale-Chall Readability Score
6.2
Sprache Readability Score
3.9
Dale-Chall Difficult Word Score
16
Sprache Difficult Word Count
16

Paul Posner

EPA has coined a concept called performance partnerships, where States are given the option of moving money around, but being held accountable for specific and discreet performance goals. Those are very important concepts we need to think about here.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.66667
Very Positive
Harvard-IV (Absolute)
0.66667
Very Positive
Harvard-IV (Logit)
1.29928
VADER
0.381
Somewhat Positive
Moderation
Sexual
0.175947696
OpenAI Moderation v1 (007)
Self-Harm
0.0124719823
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0082454215
OpenAI Moderation v1 (007)
Violence > Graphic
0.0052082283
OpenAI Moderation v1 (007)
Harassment
0.0041660136
OpenAI Moderation v1 (007)
Sexual > Minors
0.0038962495
OpenAI Moderation v1 (007)
Violence
0.0037808797
OpenAI Moderation v1 (007)
Hate
0.001410493
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0007214574
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0004734518
OpenAI Moderation v1 (007)
Hate > Threatening
1.58549E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Sport > Soccer
Score:
100
Magnitude:
0.075
Code:
15054000
Url:
https://cv.iptc.org/newscodes/subjectcode/15054000
Wikidata_id:
Q2736
Wikidata_label:
association football
Source:
IPTC Subject
Topic:
Macroeconomics
Score:
46.684
Magnitude:
47
Code:
1
Url:
https://fsc.al/cap-mc#1
Source:
Comparative Agendas
Topic:
Government Operations
Score:
22.578
Magnitude:
47
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
11.4
Flesch-Kincaid Ease
48.2
Gunning-Fog Score
14
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
5.8
Sprache Readability Score
4.2
Dale-Chall Difficult Word Score
12
Sprache Difficult Word Count
15

Paul Posner

A second important issue is the targeting, and I won't go into any more than what has already been said except to say needs are everywhere. The question before us with scarce funds is how to prioritize those needs, and I think that is the challenge that the Congress faces. States also face this challenge in their pass-through money.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.94591
Harvard-IV (Relative)
-0.66667
Very Negative
Harvard-IV (Absolute)
-0.66667
Very Negative
Harvard-IV (Logit)
-1.29928
VADER
0.273
Slightly Positive
Moderation
Violence > Graphic
0.0366384105
OpenAI Moderation v1 (007)
Sexual
0.0356166885
OpenAI Moderation v1 (007)
Harassment
0.022033602
OpenAI Moderation v1 (007)
Violence
0.0158862516
OpenAI Moderation v1 (007)
Sexual > Minors
0.0119108961
OpenAI Moderation v1 (007)
Hate
0.0103956467
OpenAI Moderation v1 (007)
Self-Harm
0.0020737929
OpenAI Moderation v1 (007)
Harassment > Threatening
0.001606152
OpenAI Moderation v1 (007)
Hate > Threatening
0.0015622183
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0004078393
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0002781155
OpenAI Moderation v1 (007)
Topics
Topic:
Human Interest > Curiosity
Score:
100
Magnitude:
0.055
Code:
8002000
Url:
https://cv.iptc.org/newscodes/subjectcode/08002000
Wikidata_id:
Q361306
Wikidata_label:
human interest story
Source:
IPTC Subject
Topic:
Government Operations
Score:
79.894
Magnitude:
39
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
8.9
Flesch-Kincaid Ease
66.7
Gunning-Fog Score
11.3
Coleman-Liau Index
10.6
SMOG Index
10.6
Automated Readability Index
9.7
Dale-Chall Readability Score
3.6
Sprache Readability Score
4
Dale-Chall Difficult Word Score
10
Sprache Difficult Word Count
11

Paul Posner

A third important area is fiscal provisions. How do we ensure that the scarce money we are spending is actually going to be used for homeland security and not supplanted and replaced where other State and local funds get reduced? That is a classic problem in grants. We have studies showing almost 60 cents of every Federal dollar gets substituted. We can protect that here, and it is very important if we want our money to really go further.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
0.14286
Leans Positive
Harvard-IV (Absolute)
0.14286
Leans Positive
Harvard-IV (Logit)
0.26826
VADER
0.839
Very Positive
Moderation
Sexual
0.0051146522
OpenAI Moderation v1 (007)
Violence > Graphic
0.0022069908
OpenAI Moderation v1 (007)
Violence
0.0019378298
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0008267786
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0005342739
OpenAI Moderation v1 (007)
Harassment
0.0004210331
OpenAI Moderation v1 (007)
Sexual > Minors
0.0003514452
OpenAI Moderation v1 (007)
Self-Harm
0.0001966361
OpenAI Moderation v1 (007)
Hate
5.53911E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.91983E-5
OpenAI Moderation v1 (007)
Hate > Threatening
2.15937E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Sport > Soccer
Score:
100
Magnitude:
0.063
Code:
15054000
Url:
https://cv.iptc.org/newscodes/subjectcode/15054000
Wikidata_id:
Q2736
Wikidata_label:
association football
Source:
IPTC Subject
Topic:
Macroeconomics
Score:
52.9
Magnitude:
59
Code:
1
Url:
https://fsc.al/cap-mc#1
Source:
Comparative Agendas
Topic:
Government Operations
Score:
20.22
Magnitude:
59
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
8.9
Flesch-Kincaid Ease
59.1
Gunning-Fog Score
11.4
Coleman-Liau Index
10.7
SMOG Index
11.7
Automated Readability Index
7.7
Dale-Chall Readability Score
4.8
Sprache Readability Score
4.6
Dale-Chall Difficult Word Score
20
Sprache Difficult Word Count
25

Paul Posner

The final most important point is accountability. This is the real key to sustaining over time what we are trying to do here and it is important to have a sustained effort. We have seen other programs fall by the wayside because they were unable to justify themselves and their contributions. We need to be able to not only have those goals and standards, but have accountability processes that tell us what we are doing against those standards every year. Those standards in an intergovernmental setting need to be developed in partnership with our partners in the community.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.60944
Harvard-IV (Relative)
0.5
Positive
Harvard-IV (Absolute)
0.5
Positive
Harvard-IV (Logit)
1.02165
VADER
0.234
Slightly Positive
Moderation
Violence > Graphic
0.0265173643
OpenAI Moderation v1 (007)
Violence
0.0141158613
OpenAI Moderation v1 (007)
Harassment
0.0042021755
OpenAI Moderation v1 (007)
Sexual
0.0006010919
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0005358302
OpenAI Moderation v1 (007)
Hate
0.0004272008
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.000379562
OpenAI Moderation v1 (007)
Self-Harm
0.0002909584
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0001998145
OpenAI Moderation v1 (007)
Sexual > Minors
9.2796E-6
OpenAI Moderation v1 (007)
Hate > Threatening
4.4999E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Macroeconomics
Score:
64.884
Magnitude:
78
Code:
1
Url:
https://fsc.al/cap-mc#1
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
10.6
Flesch-Kincaid Ease
54
Gunning-Fog Score
13.1
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
11.1
Dale-Chall Readability Score
4.5
Sprache Readability Score
4.8
Dale-Chall Difficult Word Score
22
Sprache Difficult Word Count
21

Paul Posner

State and locals are equally fragmented as we are at the Federal level. A recent Century Foundation report highlighted the systemic problems within regions, within governments themselves. This is no secret; coordination is a challenge everywhere. We can influence that. As we have done in transportation planning, we can do that here if we design these grants in the way we want to.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.60944
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
-0.34
Somewhat Negative
Moderation
Violence
0.0083887819
OpenAI Moderation v1 (007)
Violence > Graphic
0.0082882034
OpenAI Moderation v1 (007)
Harassment
0.0013450137
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0005130601
OpenAI Moderation v1 (007)
Sexual
0.0004998353
OpenAI Moderation v1 (007)
Hate
0.000397542
OpenAI Moderation v1 (007)
Self-Harm
0.0003722739
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.00029635
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001950472
OpenAI Moderation v1 (007)
Self-Harm > Instructions
5.92362E-5
OpenAI Moderation v1 (007)
Hate > Threatening
5.4242E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Espionage and Intelligence
Score:
100
Magnitude:
0.182
Code:
11004000
Url:
https://cv.iptc.org/newscodes/subjectcode/11004000
Wikidata_id:
Q165950
Wikidata_label:
espionage
Source:
IPTC Subject
Topic:
Government Operations
Score:
62.284
Magnitude:
98
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
8.6
Flesch-Kincaid Ease
55.7
Gunning-Fog Score
10.8
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
8.2
Dale-Chall Readability Score
5.9
Sprache Readability Score
4.2
Dale-Chall Difficult Word Score
21
Sprache Difficult Word Count
24

Paul Posner

So the point is we need to know more systematically what needs to be done. We need to design programs to better ensure that we will be, in fact, able to deliver on our promises, and ultimately the sustainability and public support for what we are doing rests on this.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.09861
Harvard-IV (Relative)
0.2
Leans Positive
Harvard-IV (Absolute)
0.2
Leans Positive
Harvard-IV (Logit)
0.36772
VADER
0.869
Very Positive
Moderation
Harassment
0.0325101224
OpenAI Moderation v1 (007)
Violence
0.0258249318
OpenAI Moderation v1 (007)
Sexual
0.0066168141
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0044454162
OpenAI Moderation v1 (007)
Violence > Graphic
0.0019583957
OpenAI Moderation v1 (007)
Hate
0.0013838439
OpenAI Moderation v1 (007)
Self-Harm
0.0002939903
OpenAI Moderation v1 (007)
Sexual > Minors
9.39125E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
9.31594E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
7.05775E-5
OpenAI Moderation v1 (007)
Hate > Threatening
5.70114E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Election
Score:
100
Magnitude:
0.156
Code:
11003000
Url:
https://cv.iptc.org/newscodes/subjectcode/11003000
Wikidata_id:
Q40231
Wikidata_label:
public election
Source:
IPTC Subject
Topic:
Transportation
Score:
36.061
Magnitude:
63
Code:
10
Url:
https://fsc.al/cap-mc#10
Source:
Comparative Agendas
Topic:
Government Operations
Score:
36.027
Magnitude:
63
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
11.6
Flesch-Kincaid Ease
56.3
Gunning-Fog Score
14
Coleman-Liau Index
9.3
SMOG Index
12
Automated Readability Index
11.1
Dale-Chall Readability Score
4.1
Sprache Readability Score
4.5
Dale-Chall Difficult Word Score
9
Sprache Difficult Word Count
10

Paul Posner

Thank you.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.09861
VADER
0.361
Somewhat Positive
Moderation
Harassment
0.0774714106
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0290010939
OpenAI Moderation v1 (007)
Violence
0.0250974932
OpenAI Moderation v1 (007)
Violence > Graphic
0.0162435972
OpenAI Moderation v1 (007)
Sexual
0.0037560541
OpenAI Moderation v1 (007)
Sexual > Minors
0.0021575805
OpenAI Moderation v1 (007)
Hate
0.0017505812
OpenAI Moderation v1 (007)
Hate > Threatening
0.0001403751
OpenAI Moderation v1 (007)
Self-Harm > Intent
4.02985E-5
OpenAI Moderation v1 (007)
Self-Harm
3.47668E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.731E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Government Operations
Score:
43.557
Magnitude:
50
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Topic:
Macroeconomics
Score:
29.318
Magnitude:
50
Code:
1
Url:
https://fsc.al/cap-mc#1
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
0
Flesch-Kincaid Ease
100
Gunning-Fog Score
0.8
Coleman-Liau Index
7.6
SMOG Index
3.3
Automated Readability Index
0
Dale-Chall Readability Score
0.1
Sprache Readability Score
0.9
Dale-Chall Difficult Word Score
0
Sprache Difficult Word Count
0

Note

[The prepared statement of Mr. Posner appears as a submission for the record.]
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
0
Neutral
Moderation
Violence > Graphic
1.4642382041
OpenAI Moderation v1 (007)
Violence
0.8870948106
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0157290706
OpenAI Moderation v1 (007)
Hate
0.007504649
OpenAI Moderation v1 (007)
Self-Harm
0.0037215548
OpenAI Moderation v1 (007)
Hate > Threatening
0.0024536272
OpenAI Moderation v1 (007)
Harassment
0.0018131772
OpenAI Moderation v1 (007)
Sexual
0.0001936991
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001033765
OpenAI Moderation v1 (007)
Self-Harm > Instructions
5.66273E-5
OpenAI Moderation v1 (007)
Sexual > Minors
6.8912E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
Flesch-Kincaid Ease
Gunning-Fog Score
Coleman-Liau Index
SMOG Index
Automated Readability Index
Dale-Chall Readability Score
Sprache Readability Score
Dale-Chall Difficult Word Score
Sprache Difficult Word Count

Jon Kyl

Thank you very much, Dr. Posner. I think the combination of what all three of you have said is just very, very enlightening. Let me begin by asking a couple of questions here.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
0.746
Very Positive
Moderation
Violence
0.0345175358
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0054393317
OpenAI Moderation v1 (007)
Harassment
0.0034627119
OpenAI Moderation v1 (007)
Violence > Graphic
0.0010052012
OpenAI Moderation v1 (007)
Hate
0.0002495621
OpenAI Moderation v1 (007)
Sexual
2.97677E-5
OpenAI Moderation v1 (007)
Hate > Threatening
2.60734E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.39345E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.66404E-5
OpenAI Moderation v1 (007)
Self-Harm
8.5289E-6
OpenAI Moderation v1 (007)
Sexual > Minors
4.4661E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
4.8
Flesch-Kincaid Ease
75.4
Gunning-Fog Score
6.9
Coleman-Liau Index
8.6
SMOG Index
8.2
Automated Readability Index
2.2
Dale-Chall Readability Score
3.3
Sprache Readability Score
2.2
Dale-Chall Difficult Word Score
6
Sprache Difficult Word Count
7

Jon Kyl

Since you have all mentioned the problem of standards and accountability and getting the assets where they are most needed, I am wondering, after the Department of Homeland Security has undergone the kind of analysis and assessment that, Mr. Clarke, you referred to, if it then said to its top areas of priority, for example, we have decided that one of the top priorities is to get these radios that will all talk to each other even in buildings with a lot of concrete and steel, and so on, and we have said these are the top three cities whose fire and police departments need them -- we have bought them; no problem with standards. We have said you are the top 20 cities to get them. We have prioritized and you can come and get them. No accountability problem; we have got the guys who will help train you.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-2.19722
Harvard-IV (Relative)
0.04762
Neutral
Harvard-IV (Absolute)
0.04762
Neutral
Harvard-IV (Logit)
0.09097
VADER
-0.44
Negative
Moderation
Harassment
0.8064527996
OpenAI Moderation v1 (007)
Violence
0.2882101573
OpenAI Moderation v1 (007)
Harassment > Threatening
0.1259691198
OpenAI Moderation v1 (007)
Hate
0.0763851451
OpenAI Moderation v1 (007)
Violence > Graphic
0.0133519658
OpenAI Moderation v1 (007)
Self-Harm
0.001459035
OpenAI Moderation v1 (007)
Hate > Threatening
0.0014229486
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0009247083
OpenAI Moderation v1 (007)
Sexual
0.0005677365
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0001502904
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001476998
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
56.8
Gunning-Fog Score
15.4
Coleman-Liau Index
9.5
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
4.6
Sprache Readability Score
5
Dale-Chall Difficult Word Score
29
Sprache Difficult Word Count
26

Jon Kyl

Granted, that isn't politically as popular as handing out grant money, but might that be a better way to approach this than the grant approach that has been discussed? I ask all three of you.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.60944
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
2.56495
VADER
0.844
Very Positive
Moderation
Violence > Graphic
0.0655775948
OpenAI Moderation v1 (007)
Violence
0.0230989215
OpenAI Moderation v1 (007)
Harassment
0.0153208603
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0052766827
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.003716983
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0032992582
OpenAI Moderation v1 (007)
Hate
0.0028188204
OpenAI Moderation v1 (007)
Self-Harm
0.0022186903
OpenAI Moderation v1 (007)
Sexual
0.0008652837
OpenAI Moderation v1 (007)
Sexual > Minors
0.000690211
OpenAI Moderation v1 (007)
Hate > Threatening
0.0001432197
OpenAI Moderation v1 (007)
Topics
Topic:
Law and Crime
Score:
71.312
Magnitude:
149
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
7.1
Flesch-Kincaid Ease
75.5
Gunning-Fog Score
9.3
Coleman-Liau Index
9.8
SMOG Index
9
Automated Readability Index
7.8
Dale-Chall Readability Score
4.9
Sprache Readability Score
3.4
Dale-Chall Difficult Word Score
9
Sprache Difficult Word Count
8

Warren Rudman

Well, you know, obviously that hypothetical would work, but let me point out that if you set standards, let's say, in the communications gear and said it has to meet this standard and we approve the following eight suppliers for that equipment and we are giving you a grant to buy "x" number of these, then that accomplishes the same thing.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.09861
Harvard-IV (Relative)
0.5
Positive
Harvard-IV (Absolute)
0.5
Positive
Harvard-IV (Logit)
0.99853
VADER
0.898
Very Positive
Moderation
Violence > Graphic
0.0222957358
OpenAI Moderation v1 (007)
Harassment
0.0122094585
OpenAI Moderation v1 (007)
Violence
0.0077311663
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0028711413
OpenAI Moderation v1 (007)
Sexual
0.0016384516
OpenAI Moderation v1 (007)
Hate
0.0013800959
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001753564
OpenAI Moderation v1 (007)
Self-Harm
0.0001387684
OpenAI Moderation v1 (007)
Hate > Threatening
2.44166E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.13817E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
9.431E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Labor > Employment
Score:
100
Magnitude:
0.122
Code:
9003000
Url:
https://cv.iptc.org/newscodes/subjectcode/09003000
Wikidata_id:
Q656365
Wikidata_label:
employment
Source:
IPTC Subject
Topic:
Economy, Business and Finance > Company Information > Purchase
Score:
98
Magnitude:
0.12
Code:
4016056
Url:
https://cv.iptc.org/newscodes/subjectcode/04016056
Wikidata_id:
Q868404
Wikidata_label:
final good
Source:
IPTC Subject
Topic:
Arts, Culture and Entertainment > Culture (General)
Score:
52
Magnitude:
0.064
Code:
1022000
Url:
https://cv.iptc.org/newscodes/subjectcode/01022000
Wikidata_id:
Q11042
Wikidata_label:
culture
Source:
IPTC Subject
Topic:
Education
Score:
25.895
Magnitude:
35
Code:
6
Url:
https://fsc.al/cap-mc#6
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
24.3
Gunning-Fog Score
19
Coleman-Liau Index
10.3
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
5.6
Sprache Readability Score
5
Dale-Chall Difficult Word Score
10
Sprache Difficult Word Count
13

Warren Rudman

Incidentally, Mr. Chairman, if you would just allow me a brief diversion, I think I neglected to introduce, sitting behind me, Dr. Jamie Metzl, from the Council on Foreign Relations, who spearheaded this report. He is known to many of you and many of your staffs, and it would be negligent on my part not to introduce Jamie because his imprint is very much on this report.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.94591
Harvard-IV (Relative)
-0.6
Very Negative
Harvard-IV (Absolute)
-0.6
Very Negative
Harvard-IV (Logit)
-1.09861
VADER
-0.361
Somewhat Negative
Moderation
Sexual
0.0109936511
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0030433688
OpenAI Moderation v1 (007)
Violence > Graphic
0.0023078761
OpenAI Moderation v1 (007)
Violence
0.0021187734
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0020946229
OpenAI Moderation v1 (007)
Sexual > Minors
0.0019814444
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0012764434
OpenAI Moderation v1 (007)
Hate > Threatening
0.0007352287
OpenAI Moderation v1 (007)
Harassment
0.0006472733
OpenAI Moderation v1 (007)
Self-Harm
0.0004111298
OpenAI Moderation v1 (007)
Hate
0.0001489734
OpenAI Moderation v1 (007)
Topics
Topic:
Technology
Score:
87.867
Magnitude:
61
Code:
17
Url:
https://fsc.al/cap-mc#17
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
8.7
Flesch-Kincaid Ease
62.3
Gunning-Fog Score
10.3
Coleman-Liau Index
10
SMOG Index
11.3
Automated Readability Index
7.6
Dale-Chall Readability Score
5.3
Sprache Readability Score
4.4
Dale-Chall Difficult Word Score
19
Sprache Difficult Word Count
21

Jon Kyl

I appreciate that.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.09861
VADER
0.402
Positive
Moderation
Violence
1.2497264892
OpenAI Moderation v1 (007)
Harassment
0.7738272194
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0691909343
OpenAI Moderation v1 (007)
Hate
0.0255188352
OpenAI Moderation v1 (007)
Violence > Graphic
0.0111806075
OpenAI Moderation v1 (007)
Hate > Threatening
0.0011580109
OpenAI Moderation v1 (007)
Self-Harm
0.0004093582
OpenAI Moderation v1 (007)
Sexual
0.0002604789
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001473816
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.26263E-5
OpenAI Moderation v1 (007)
Sexual > Minors
1.85088E-5
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
9.2
Flesch-Kincaid Ease
34.6
Gunning-Fog Score
14.5
Coleman-Liau Index
12
SMOG Index
9
Automated Readability Index
3.6
Dale-Chall Readability Score
5.4
Sprache Readability Score
1.1
Dale-Chall Difficult Word Score
1
Sprache Difficult Word Count
1

Jon Kyl

Any other comments? Dr. Posner.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
0
Neutral
Moderation
Violence
0.1878410345
OpenAI Moderation v1 (007)
Violence > Graphic
0.0171054373
OpenAI Moderation v1 (007)
Harassment
0.0072068542
OpenAI Moderation v1 (007)
Hate
0.002162947
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0015490785
OpenAI Moderation v1 (007)
Self-Harm
0.000165768
OpenAI Moderation v1 (007)
Hate > Threatening
9.38716E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
4.12587E-5
OpenAI Moderation v1 (007)
Sexual
2.46937E-5
OpenAI Moderation v1 (007)
Sexual > Minors
1.90308E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
5.6264E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Arts, Culture and Entertainment > Mass Media > Newspapers
Score:
100
Magnitude:
0.054
Code:
1026003
Url:
https://cv.iptc.org/newscodes/subjectcode/01026003
Wikidata_id:
Q11032
Wikidata_label:
newspaper
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
6.3
Flesch-Kincaid Ease
52.9
Gunning-Fog Score
0.7
Coleman-Liau Index
12
SMOG Index
3.3
Automated Readability Index
2
Dale-Chall Readability Score
9.6
Sprache Readability Score
1.1
Dale-Chall Difficult Word Score
3
Sprache Difficult Word Count
3

Paul Posner

If I could just add, I think we have some choices in how we develop these standards. I mean, these standards could be focused on the kind of equipment you must have, or possibly a broader and more flexible way to do this would be to specify the outcomes we are trying to achieve. We want you to have interoperability.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.09861
Harvard-IV (Relative)
0.66667
Very Positive
Harvard-IV (Absolute)
0.66667
Very Positive
Harvard-IV (Logit)
1.29928
VADER
0.62
Very Positive
Moderation
Violence
14.0050292015
OpenAI Moderation v1 (007)
Harassment
0.2579424065
OpenAI Moderation v1 (007)
Violence > Graphic
0.1935664448
OpenAI Moderation v1 (007)
Harassment > Threatening
0.1743570436
OpenAI Moderation v1 (007)
Self-Harm
0.1725027105
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0378877303
OpenAI Moderation v1 (007)
Hate
0.0328702357
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0203102754
OpenAI Moderation v1 (007)
Hate > Threatening
0.0058109781
OpenAI Moderation v1 (007)
Sexual
0.000185825
OpenAI Moderation v1 (007)
Sexual > Minors
2.79634E-5
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
8.9
Flesch-Kincaid Ease
66.7
Gunning-Fog Score
12.7
Coleman-Liau Index
8.9
SMOG Index
12
Automated Readability Index
8.4
Dale-Chall Readability Score
4.4
Sprache Readability Score
4.1
Dale-Chall Difficult Word Score
13
Sprache Difficult Word Count
13

Paul Posner

There are profoundly different ways this can be achieved. In fact, when you talk to fire chiefs, some of them don't, in fact, repurchase equipment for every vehicle they have. In fact, they buy these software patches that tie in disparate radios through the op center and permit interoperability that way.
Sentiment
Loughran McDonald (Relative)
-0.33333
Somewhat Negative
Loughran McDonald (Absolute)
-0.33333
Somewhat Negative
Loughran McDonald (Logit)
-0.51083
Harvard-IV (Relative)
0.2
Leans Positive
Harvard-IV (Absolute)
0.2
Leans Positive
Harvard-IV (Logit)
0.33647
VADER
-0.34
Somewhat Negative
Moderation
Violence
3.0330434442
OpenAI Moderation v1 (007)
Harassment
0.8773583919
OpenAI Moderation v1 (007)
Hate
0.2399434336
OpenAI Moderation v1 (007)
Violence > Graphic
0.0271165482
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0102230137
OpenAI Moderation v1 (007)
Hate > Threatening
0.0002776051
OpenAI Moderation v1 (007)
Self-Harm
4.33149E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.07203E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.18401E-5
OpenAI Moderation v1 (007)
Sexual
2.1596E-6
OpenAI Moderation v1 (007)
Sexual > Minors
1.824E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Technology
Score:
32.292
Magnitude:
60
Code:
17
Url:
https://fsc.al/cap-mc#17
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
9.3
Flesch-Kincaid Ease
58.5
Gunning-Fog Score
13.9
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
9.8
Dale-Chall Readability Score
3.9
Sprache Readability Score
3.7
Dale-Chall Difficult Word Score
10
Sprache Difficult Word Count
12

Paul Posner

The point is, I think, as we think we about standards, recognizing we are dealing with a very diverse community, highly different rural and urban kinds of providers with very different kinds of provisions -- and we have done this with other areas like emergency medical services. We have different standards for rural versus urban areas. We need to think a little more discriminately about how we develop standards. One way to do this that gives flexibility as well as accountability is to think about the measurable outcomes we are trying to achieve in performance, and back from there.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.13043
Leans Positive
Harvard-IV (Absolute)
0.13043
Leans Positive
Harvard-IV (Logit)
0.25131
VADER
0.527
Very Positive
Moderation
Violence
0.0567861833
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0137623792
OpenAI Moderation v1 (007)
Violence > Graphic
0.0134139598
OpenAI Moderation v1 (007)
Harassment
0.0030640742
OpenAI Moderation v1 (007)
Self-Harm
0.000475644
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.00047166
OpenAI Moderation v1 (007)
Sexual
0.000388536
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0001065573
OpenAI Moderation v1 (007)
Hate > Threatening
7.33254E-5
OpenAI Moderation v1 (007)
Sexual > Minors
4.08646E-5
OpenAI Moderation v1 (007)
Hate
3.09127E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Technology
Score:
64.735
Magnitude:
51
Code:
17
Url:
https://fsc.al/cap-mc#17
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
41.3
Gunning-Fog Score
16.3
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
5.7
Sprache Readability Score
5
Dale-Chall Difficult Word Score
28
Sprache Difficult Word Count
24

Jon Kyl

Mr. Clarke.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
0
Neutral
Moderation
Violence
0.0351121649
OpenAI Moderation v1 (007)
Violence > Graphic
0.0048245289
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0008715438
OpenAI Moderation v1 (007)
Hate
0.0001233091
OpenAI Moderation v1 (007)
Harassment
6.69226E-5
OpenAI Moderation v1 (007)
Sexual
4.7539E-5
OpenAI Moderation v1 (007)
Hate > Threatening
4.40319E-5
OpenAI Moderation v1 (007)
Self-Harm
1.46753E-5
OpenAI Moderation v1 (007)
Sexual > Minors
1.31598E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
6.4062E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.6623E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Health
Score:
84.492
Magnitude:
99
Code:
3
Url:
https://fsc.al/cap-mc#3
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
2.5
Flesch-Kincaid Ease
78.9
Gunning-Fog Score
0.4
Coleman-Liau Index
7.5
SMOG Index
3.3
Automated Readability Index
0
Dale-Chall Readability Score
10
Sprache Readability Score
0.9
Dale-Chall Difficult Word Score
2
Sprache Difficult Word Count
2

Richard Clarke

Senator, I think the procedure you outlined would work on some unique pieces of equipment that we want everyone to have in a certain class of city. I will give you an example.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.33333
Somewhat Positive
Harvard-IV (Absolute)
0.33333
Somewhat Positive
Harvard-IV (Logit)
0.51083
VADER
0.34
Somewhat Positive
Moderation
Violence
0.3379015485
OpenAI Moderation v1 (007)
Harassment
0.0334866752
OpenAI Moderation v1 (007)
Harassment > Threatening
0.02200975
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0073044597
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0061779727
OpenAI Moderation v1 (007)
Self-Harm
0.0060419046
OpenAI Moderation v1 (007)
Hate
0.0049795577
OpenAI Moderation v1 (007)
Violence > Graphic
0.0041615862
OpenAI Moderation v1 (007)
Hate > Threatening
0.0032939737
OpenAI Moderation v1 (007)
Sexual
0.0023390159
OpenAI Moderation v1 (007)
Sexual > Minors
0.0007541872
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Parliament
Score:
100
Magnitude:
0.167
Code:
11009000
Url:
https://cv.iptc.org/newscodes/subjectcode/11009000
Wikidata_id:
Q35749
Wikidata_label:
parliament
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
8.4
Flesch-Kincaid Ease
64.5
Gunning-Fog Score
12.7
Coleman-Liau Index
9.2
SMOG Index
12
Automated Readability Index
6.8
Dale-Chall Readability Score
4.2
Sprache Readability Score
3.3
Dale-Chall Difficult Word Score
7
Sprache Difficult Word Count
8

Richard Clarke

Using Federal dollars, a mass decontamination fire truck was developed and the first one went to Arlington, Virginia. It is designed to be able to move several thousand people through an hour who have been hit by a chemical and it decontaminates them and moves them through out the other end. The truck opens up and becomes a facility.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
0.5
Positive
Harvard-IV (Absolute)
0.5
Positive
Harvard-IV (Logit)
0.8473
VADER
-0.34
Somewhat Negative
Moderation
Sexual
0.0500901777
OpenAI Moderation v1 (007)
Violence > Graphic
0.002040459
OpenAI Moderation v1 (007)
Violence
0.0020208208
OpenAI Moderation v1 (007)
Harassment
0.0017664155
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0012040727
OpenAI Moderation v1 (007)
Self-Harm
0.0005998155
OpenAI Moderation v1 (007)
Sexual > Minors
0.0003055642
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0002506569
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0001799145
OpenAI Moderation v1 (007)
Hate
0.0001425733
OpenAI Moderation v1 (007)
Hate > Threatening
1.8216E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Disaster and Accident > Fire
Score:
100
Magnitude:
0.053
Code:
3004000
Url:
https://cv.iptc.org/newscodes/subjectcode/03004000
Wikidata_id:
Q3196
Wikidata_label:
fire
Source:
IPTC Subject
Topic:
Human Interest > People > Celebrity
Score:
94
Magnitude:
0.05
Code:
8003002
Url:
https://cv.iptc.org/newscodes/subjectcode/08003002
Wikidata_id:
Q211236
Wikidata_label:
celebrity
Source:
IPTC Subject
Topic:
Technology
Score:
26.952
Magnitude:
33
Code:
17
Url:
https://fsc.al/cap-mc#17
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
10.7
Flesch-Kincaid Ease
53.5
Gunning-Fog Score
11.9
Coleman-Liau Index
11.3
SMOG Index
12
Automated Readability Index
10.1
Dale-Chall Readability Score
3.9
Sprache Readability Score
4
Dale-Chall Difficult Word Score
11
Sprache Difficult Word Count
12

Richard Clarke

Now, we can give money to each of the States and hope that each State then gives the money to the cities, and hope that each city then buys such a truck. There is only one place to buy the truck. There is only one organization making it. So we could save a lot of time and a lot of effort, if we believe that every city of a certain size should have that, just to buy it and give it to them. But that doesn't work for every piece of equipment.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.8
Very Positive
Harvard-IV (Absolute)
0.8
Very Positive
Harvard-IV (Logit)
1.84583
VADER
0.886
Very Positive
Moderation
Harassment
0.0438977528
OpenAI Moderation v1 (007)
Hate
0.0311201555
OpenAI Moderation v1 (007)
Sexual
0.021783894
OpenAI Moderation v1 (007)
Violence
0.0194838954
OpenAI Moderation v1 (007)
Violence > Graphic
0.0074740819
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0036938483
OpenAI Moderation v1 (007)
Sexual > Minors
0.0028715522
OpenAI Moderation v1 (007)
Hate > Threatening
0.0022960983
OpenAI Moderation v1 (007)
Self-Harm
0.0006097453
OpenAI Moderation v1 (007)
Self-Harm > Instructions
9.85199E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
6.31273E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Labor > Employment
Score:
100
Magnitude:
0.108
Code:
9003000
Url:
https://cv.iptc.org/newscodes/subjectcode/09003000
Wikidata_id:
Q656365
Wikidata_label:
employment
Source:
IPTC Subject
Topic:
Health
Score:
75.22
Magnitude:
59
Code:
3
Url:
https://fsc.al/cap-mc#3
Source:
Comparative Agendas
Topic:
Economy, Business and Finance > Company Information > Purchase
Score:
57
Magnitude:
0.062
Code:
4016056
Url:
https://cv.iptc.org/newscodes/subjectcode/04016056
Wikidata_id:
Q868404
Wikidata_label:
final good
Source:
IPTC Subject
Topic:
Social Issue > Social Issues (General)
Score:
56
Magnitude:
0.061
Code:
14025000
Url:
https://cv.iptc.org/newscodes/subjectcode/14025000
Wikidata_id:
Q8425
Wikidata_label:
society
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
6.1
Flesch-Kincaid Ease
84.2
Gunning-Fog Score
9.1
Coleman-Liau Index
6.1
SMOG Index
8.4
Automated Readability Index
5.3
Dale-Chall Readability Score
1.4
Sprache Readability Score
3.5
Dale-Chall Difficult Word Score
3
Sprache Difficult Word Count
7

Jon Kyl

Let me ask one more question and then turn to the other panelists here. Obviously, some of the threat assessment and decision about where to put what kind of equipment will have to remain classified, or you are just signaling to the terrorists where they needn't worry. So there will have to be an element of this that is not totally public.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.94591
Harvard-IV (Relative)
-0.66667
Very Negative
Harvard-IV (Absolute)
-0.66667
Very Negative
Harvard-IV (Logit)
-1.29928
VADER
-0.787
Very Negative
Moderation
Violence
0.0740401156
OpenAI Moderation v1 (007)
Harassment
0.0120553741
OpenAI Moderation v1 (007)
Violence > Graphic
0.0037135567
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0029218241
OpenAI Moderation v1 (007)
Sexual > Minors
0.0004113804
OpenAI Moderation v1 (007)
Self-Harm
0.0002770584
OpenAI Moderation v1 (007)
Hate
0.0002336656
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0001003712
OpenAI Moderation v1 (007)
Hate > Threatening
9.35163E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
4.60052E-5
OpenAI Moderation v1 (007)
Sexual
4.31327E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Unrest, Conflicts and War > Act of Terror
Score:
100
Magnitude:
0.159
Code:
16001000
Url:
https://cv.iptc.org/newscodes/subjectcode/16001000
Wikidata_id:
Q2223653
Wikidata_label:
terrorist attack
Source:
IPTC Subject
Topic:
Domestic Commerce
Score:
38.632
Magnitude:
92
Code:
15
Url:
https://fsc.al/cap-mc#15
Source:
Comparative Agendas
Topic:
Transportation
Score:
23.085
Magnitude:
92
Code:
10
Url:
https://fsc.al/cap-mc#10
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
9.4
Flesch-Kincaid Ease
64.4
Gunning-Fog Score
14.1
Coleman-Liau Index
10.2
SMOG Index
12
Automated Readability Index
9.7
Dale-Chall Readability Score
3.8
Sprache Readability Score
4.4
Dale-Chall Difficult Word Score
11
Sprache Difficult Word Count
15

Jon Kyl

But subject to that caveat, could all of you be just a little bit more specific about the actual process for making the decision about how to prioritize this funding?
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
0
Neutral
Moderation
Harassment
2.740242146
OpenAI Moderation v1 (007)
Violence
1.1003539898
OpenAI Moderation v1 (007)
Harassment > Threatening
0.1884223078
OpenAI Moderation v1 (007)
Hate
0.1583108329
OpenAI Moderation v1 (007)
Violence > Graphic
0.0566653383
OpenAI Moderation v1 (007)
Sexual
0.0011946615
OpenAI Moderation v1 (007)
Hate > Threatening
0.0005419112
OpenAI Moderation v1 (007)
Sexual > Minors
0.0004654374
OpenAI Moderation v1 (007)
Self-Harm
0.0003257503
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0001284671
OpenAI Moderation v1 (007)
Self-Harm > Intent
7.58571E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Defense
Score:
78.853
Magnitude:
62
Code:
16
Url:
https://fsc.al/cap-mc#16
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
43.8
Gunning-Fog Score
17.3
Coleman-Liau Index
10.7
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
5.2
Sprache Readability Score
5
Dale-Chall Difficult Word Score
7
Sprache Difficult Word Count
9

Jon Kyl

The general outline of it, Mr. Clarke, you outlined and I think it is what all of you have talked about. You would want to get input from the local communities about what they think their vulnerabilities are, as Representative Cox talked about. But then let's get real specific about how we would politically make these decisions, because obviously Flagstaff, Arizona, might complain that Flagstaff didn't get anything, whereas Phoenix got all of this stuff, or whatever, and that makes political people nervous.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.60944
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
-0.599
Very Negative
Moderation
Violence
0.0041766751
OpenAI Moderation v1 (007)
Harassment
0.0022969351
OpenAI Moderation v1 (007)
Violence > Graphic
0.0015104524
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0006901491
OpenAI Moderation v1 (007)
Sexual > Minors
0.0004417007
OpenAI Moderation v1 (007)
Sexual
0.000278995
OpenAI Moderation v1 (007)
Hate
0.0001416689
OpenAI Moderation v1 (007)
Self-Harm
2.20074E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.05197E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
6.4727E-6
OpenAI Moderation v1 (007)
Hate > Threatening
5.778E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Local Authority
Score:
100
Magnitude:
0.226
Code:
11008000
Url:
https://cv.iptc.org/newscodes/subjectcode/11008000
Wikidata_id:
Q6501447
Wikidata_label:
local government
Source:
IPTC Subject
Topic:
Macroeconomics
Score:
36.199
Magnitude:
30
Code:
1
Url:
https://fsc.al/cap-mc#1
Source:
Comparative Agendas
Topic:
Government Operations
Score:
35.44
Magnitude:
30
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
44.1
Gunning-Fog Score
13.1
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
5.6
Sprache Readability Score
5
Dale-Chall Difficult Word Score
24
Sprache Difficult Word Count
26

Jon Kyl

So what is the best way to ensure that the best results attend and that we all can buy into them?
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.94591
VADER
0.9
Very Positive
Moderation
Violence
0.0118801894
OpenAI Moderation v1 (007)
Violence > Graphic
0.0054476168
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0052277839
OpenAI Moderation v1 (007)
Harassment
0.0038925282
OpenAI Moderation v1 (007)
Hate
0.0003337384
OpenAI Moderation v1 (007)
Sexual
0.0001004632
OpenAI Moderation v1 (007)
Hate > Threatening
3.82836E-5
OpenAI Moderation v1 (007)
Sexual > Minors
1.88253E-5
OpenAI Moderation v1 (007)
Self-Harm
1.17336E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
6.118E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
6.0869E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Sport > Soccer
Score:
100
Magnitude:
0.061
Code:
15054000
Url:
https://cv.iptc.org/newscodes/subjectcode/15054000
Wikidata_id:
Q2736
Wikidata_label:
association football
Source:
IPTC Subject
Topic:
Government Operations
Score:
81.543
Magnitude:
83
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
6.6
Flesch-Kincaid Ease
84.8
Gunning-Fog Score
8.4
Coleman-Liau Index
5.5
SMOG Index
3.3
Automated Readability Index
6.1
Dale-Chall Readability Score
2.5
Sprache Readability Score
3.4
Dale-Chall Difficult Word Score
2
Sprache Difficult Word Count
3

Warren Rudman

The vexing question that you raise -- and, again, this is an open hearing, but I think I can say in an open hearing that there is adequate intelligence to do threat assessment on the capabilities and probabilities of chemical and biological attacks against this country.
Sentiment
Loughran McDonald (Relative)
-0.33333
Somewhat Negative
Loughran McDonald (Absolute)
-0.33333
Somewhat Negative
Loughran McDonald (Logit)
-0.51083
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
-0.606
Very Negative
Moderation
Violence
0.0202878422
OpenAI Moderation v1 (007)
Harassment
0.0088458415
OpenAI Moderation v1 (007)
Violence > Graphic
0.0079977188
OpenAI Moderation v1 (007)
Hate
0.0002886176
OpenAI Moderation v1 (007)
Sexual
0.0001668466
OpenAI Moderation v1 (007)
Self-Harm
6.071E-5
OpenAI Moderation v1 (007)
Harassment > Threatening
5.72143E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.59425E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.52103E-5
OpenAI Moderation v1 (007)
Sexual > Minors
6.8634E-6
OpenAI Moderation v1 (007)
Hate > Threatening
8.461E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Crime, Law and Justice > Trials
Score:
100
Magnitude:
0.181
Code:
2008000
Url:
https://cv.iptc.org/newscodes/subjectcode/02008000
Wikidata_id:
Q8016240
Wikidata_label:
trial
Source:
IPTC Subject
Topic:
Government Operations
Score:
69.47
Magnitude:
21
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
18.3
Gunning-Fog Score
19
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
5.4
Sprache Readability Score
5
Dale-Chall Difficult Word Score
9
Sprache Difficult Word Count
12

Warren Rudman

There is certainly no definitive information on nuclear incidents, be they conventional or dirty bombs, but we do know that there are a lot of radioactive substances that we knew existed at one place and various places particularly behind the Iron Curtain that aren't there anymore, and that is a matter of public record.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.33333
Somewhat Positive
Harvard-IV (Absolute)
0.33333
Somewhat Positive
Harvard-IV (Logit)
0.58779
VADER
-0.178
Leans Negative
Moderation
Harassment
0.011440197
OpenAI Moderation v1 (007)
Violence
0.008849334
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0070337926
OpenAI Moderation v1 (007)
Violence > Graphic
0.0032856158
OpenAI Moderation v1 (007)
Hate
0.0004380001
OpenAI Moderation v1 (007)
Hate > Threatening
5.90127E-5
OpenAI Moderation v1 (007)
Sexual
4.36729E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.89667E-5
OpenAI Moderation v1 (007)
Sexual > Minors
1.70904E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.03039E-5
OpenAI Moderation v1 (007)
Self-Harm
4.2372E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance > Energy and Resource > Nuclear Power
Score:
100
Magnitude:
0.182
Code:
4005005
Url:
https://cv.iptc.org/newscodes/subjectcode/04005005
Wikidata_id:
Q12739
Wikidata_label:
nuclear power
Source:
IPTC Subject
Topic:
Environmental Issue > Hazardous Materials
Score:
88
Magnitude:
0.16
Code:
6012000
Url:
https://cv.iptc.org/newscodes/subjectcode/06012000
Wikidata_id:
Q757138
Wikidata_label:
hazardous substances
Source:
IPTC Subject
Topic:
Unrest, Conflicts and War > Weaponry
Score:
79
Magnitude:
0.143
Code:
16012000
Url:
https://cv.iptc.org/newscodes/subjectcode/16012000
Source:
IPTC Subject
Topic:
Defense
Score:
63.45
Magnitude:
46
Code:
16
Url:
https://fsc.al/cap-mc#16
Source:
Comparative Agendas
Topic:
International Affairs
Score:
26.633
Magnitude:
46
Code:
19
Url:
https://fsc.al/cap-mc#19
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
4.8
Gunning-Fog Score
19
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
6.2
Sprache Readability Score
5
Dale-Chall Difficult Word Score
12
Sprache Difficult Word Count
18

Warren Rudman

Now, when you look at that kind of a threat assessment, at least I reach the following conclusion. You need a minimum standard at least locally in large places and regionally in other places to deal with any one of those combinations. And I will add a fourth one. Large explosives of a conventional type can cause as much havoc in downtown Los Angeles or downtown Phoenix as almost anything else, and create enormous chaos and casualties.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
-0.11111
Leans Negative
Harvard-IV (Absolute)
-0.11111
Leans Negative
Harvard-IV (Logit)
-0.20067
VADER
-0.911
Very Negative
Moderation
Sexual
0.0501825358
OpenAI Moderation v1 (007)
Violence > Graphic
0.0020268579
OpenAI Moderation v1 (007)
Violence
0.0020175779
OpenAI Moderation v1 (007)
Harassment
0.0017586703
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0011891452
OpenAI Moderation v1 (007)
Self-Harm
0.0005958002
OpenAI Moderation v1 (007)
Sexual > Minors
0.0003024989
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0002485465
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0001777846
OpenAI Moderation v1 (007)
Hate
0.0001412762
OpenAI Moderation v1 (007)
Hate > Threatening
1.8116E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Defense
Score:
67.433
Magnitude:
54
Code:
16
Url:
https://fsc.al/cap-mc#16
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
10.3
Flesch-Kincaid Ease
55.5
Gunning-Fog Score
13.9
Coleman-Liau Index
11.3
SMOG Index
12
Automated Readability Index
9.9
Dale-Chall Readability Score
4.9
Sprache Readability Score
4.9
Dale-Chall Difficult Word Score
19
Sprache Difficult Word Count
23

Warren Rudman

If you believe that terrorists' design is to demoralize the American people -- and that is obviously what it is -- and to make us fight amongst ourselves and withdraw from the world, then they will use any one of those means they can in combination, if necessary, to inflict that. So my answer is that there is enough information known to decide how you are going to prioritize your funds.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.14286
Leans Positive
Harvard-IV (Absolute)
0.14286
Leans Positive
Harvard-IV (Logit)
0.25131
VADER
-0.772
Very Negative
Moderation
Harassment
0.109392684
OpenAI Moderation v1 (007)
Violence > Graphic
0.0247213087
OpenAI Moderation v1 (007)
Violence
0.0196873152
OpenAI Moderation v1 (007)
Sexual
0.0148279796
OpenAI Moderation v1 (007)
Hate
0.009752607
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0018300068
OpenAI Moderation v1 (007)
Sexual > Minors
0.0008039709
OpenAI Moderation v1 (007)
Hate > Threatening
0.0007191533
OpenAI Moderation v1 (007)
Self-Harm
0.000502019
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0001446258
OpenAI Moderation v1 (007)
Self-Harm > Intent
4.44287E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Unrest, Conflicts and War > Act of Terror
Score:
100
Magnitude:
0.065
Code:
16001000
Url:
https://cv.iptc.org/newscodes/subjectcode/16001000
Wikidata_id:
Q2223653
Wikidata_label:
terrorist attack
Source:
IPTC Subject
Topic:
Crime, Law and Justice > Crime > Terrorism
Score:
90
Magnitude:
0.058
Code:
2001010
Url:
https://cv.iptc.org/newscodes/subjectcode/02001010
Wikidata_id:
Q7283
Wikidata_label:
terrorism
Source:
IPTC Subject
Topic:
Defense
Score:
85.165
Magnitude:
77
Code:
16
Url:
https://fsc.al/cap-mc#16
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
45.5
Gunning-Fog Score
17.9
Coleman-Liau Index
10.6
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
4.9
Sprache Readability Score
5
Dale-Chall Difficult Word Score
14
Sprache Difficult Word Count
16

Warren Rudman

If you were to ask me, Senator Kyl, after looking at this for the last 5 years -- if someone would say to me, you make the decision and you have unlimited money, I would do it in this way. I would, number one, make sure that communications were up to snuff and interoperable in every major city in America and then work down from there.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
2.19722
VADER
0.382
Somewhat Positive
Moderation
Violence
0.0155869959
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0051493844
OpenAI Moderation v1 (007)
Harassment
0.002562898
OpenAI Moderation v1 (007)
Violence > Graphic
0.0021399777
OpenAI Moderation v1 (007)
Sexual
0.000963118
OpenAI Moderation v1 (007)
Hate
0.0001888014
OpenAI Moderation v1 (007)
Sexual > Minors
5.78526E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
3.01838E-5
OpenAI Moderation v1 (007)
Hate > Threatening
2.70908E-5
OpenAI Moderation v1 (007)
Self-Harm
1.93555E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.22775E-5
OpenAI Moderation v1 (007)
Topics
Topic:
International Affairs
Score:
79.646
Magnitude:
71
Code:
19
Url:
https://fsc.al/cap-mc#19
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
52.8
Gunning-Fog Score
16.7
Coleman-Liau Index
7.8
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
3.6
Sprache Readability Score
5
Dale-Chall Difficult Word Score
8
Sprache Difficult Word Count
11

Warren Rudman

Number two, I would make sure that there was chemical and biological equipment for the first responders and for the health laboratories to understand what they are dealing with. The third thing that I would do is make sure that the public health system had a surge capacity.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
2.56495
VADER
0.599
Very Positive
Moderation
Violence > Graphic
0.0054074011
OpenAI Moderation v1 (007)
Violence
0.0051761184
OpenAI Moderation v1 (007)
Sexual
0.0003896514
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0002279293
OpenAI Moderation v1 (007)
Harassment
0.0002201515
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001540832
OpenAI Moderation v1 (007)
Hate
1.14218E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
8.3451E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
7.6072E-6
OpenAI Moderation v1 (007)
Self-Harm
5.8331E-6
OpenAI Moderation v1 (007)
Hate > Threatening
9.574E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Lifestyle and Leisure > Adventure
Score:
100
Magnitude:
0.236
Code:
10015000
Url:
https://cv.iptc.org/newscodes/subjectcode/10015000
Wikidata_id:
Q1267055
Wikidata_label:
avocation
Source:
IPTC Subject
Topic:
Health
Score:
89
Magnitude:
0.21
Code:
7000000
Url:
https://cv.iptc.org/newscodes/subjectcode/07000000
Wikidata_id:
Q12147
Wikidata_label:
health
Source:
IPTC Subject
Topic:
Technology
Score:
71.7
Magnitude:
65
Code:
17
Url:
https://fsc.al/cap-mc#17
Source:
Comparative Agendas
Topic:
Environmental Issue > Hazardous Materials
Score:
59
Magnitude:
0.139
Code:
6012000
Url:
https://cv.iptc.org/newscodes/subjectcode/06012000
Wikidata_id:
Q757138
Wikidata_label:
hazardous substances
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
11.5
Flesch-Kincaid Ease
55.6
Gunning-Fog Score
15.4
Coleman-Liau Index
11.7
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
4.2
Sprache Readability Score
4.5
Dale-Chall Difficult Word Score
9
Sprache Difficult Word Count
12

Warren Rudman

Those would be my three priorities, which deal with all three of those possible threats.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
-1
Very Negative
Harvard-IV (Absolute)
-1
Very Negative
Harvard-IV (Logit)
-1.09861
VADER
-0.422
Negative
Moderation
Violence
0.0195176253
OpenAI Moderation v1 (007)
Violence > Graphic
0.0173167427
OpenAI Moderation v1 (007)
Harassment
0.0016719237
OpenAI Moderation v1 (007)
Sexual
0.0007397878
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0005515953
OpenAI Moderation v1 (007)
Sexual > Minors
0.0002883026
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001891258
OpenAI Moderation v1 (007)
Self-Harm > Instructions
8.72803E-5
OpenAI Moderation v1 (007)
Self-Harm
4.67116E-5
OpenAI Moderation v1 (007)
Hate
2.83319E-5
OpenAI Moderation v1 (007)
Hate > Threatening
7.1257E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Health
Score:
96.093
Magnitude:
48
Code:
3
Url:
https://fsc.al/cap-mc#3
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
6
Flesch-Kincaid Ease
78.8
Gunning-Fog Score
11.3
Coleman-Liau Index
12
SMOG Index
11.3
Automated Readability Index
8.7
Dale-Chall Readability Score
2.8
Sprache Readability Score
2.8
Dale-Chall Difficult Word Score
2
Sprache Difficult Word Count
4

Jon Kyl

Thank you.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.09861
VADER
0.361
Somewhat Positive
Moderation
Sexual
0.0500901777
OpenAI Moderation v1 (007)
Violence > Graphic
0.002040459
OpenAI Moderation v1 (007)
Violence
0.0020208208
OpenAI Moderation v1 (007)
Harassment
0.0017664155
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0012040727
OpenAI Moderation v1 (007)
Self-Harm
0.0005998155
OpenAI Moderation v1 (007)
Sexual > Minors
0.0003055642
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0002506569
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0001799145
OpenAI Moderation v1 (007)
Hate
0.0001425733
OpenAI Moderation v1 (007)
Hate > Threatening
1.8216E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
0
Flesch-Kincaid Ease
100
Gunning-Fog Score
0.8
Coleman-Liau Index
7.6
SMOG Index
3.3
Automated Readability Index
0
Dale-Chall Readability Score
0.1
Sprache Readability Score
0.9
Dale-Chall Difficult Word Score
0
Sprache Difficult Word Count
0

Jon Kyl

Any other comments? Mr. Clarke.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
0
Neutral
Moderation
Harassment
0.0088110806
OpenAI Moderation v1 (007)
Sexual
0.0015541244
OpenAI Moderation v1 (007)
Violence
0.0008023088
OpenAI Moderation v1 (007)
Violence > Graphic
0.000170189
OpenAI Moderation v1 (007)
Hate
8.04909E-5
OpenAI Moderation v1 (007)
Harassment > Threatening
2.52294E-5
OpenAI Moderation v1 (007)
Sexual > Minors
2.46266E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
7.4223E-6
OpenAI Moderation v1 (007)
Hate > Threatening
4.6794E-6
OpenAI Moderation v1 (007)
Self-Harm
3.036E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.9452E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
6.3
Flesch-Kincaid Ease
52.9
Gunning-Fog Score
0.7
Coleman-Liau Index
12
SMOG Index
3.3
Automated Readability Index
2
Dale-Chall Readability Score
9.6
Sprache Readability Score
1.1
Dale-Chall Difficult Word Score
3
Sprache Difficult Word Count
3

Richard Clarke

I agree with Senator Rudman's priorities, but I would also say that, by and large, critical infrastructure targets correlate with population density. It is a good rule of thumb. It doesn't always work, so if I were doing a formula, I would put most of the formula money into population density and then I would say you get additional points if you have a nuclear reactor in your town. If, as in Senator Biden's case, you have a very large chemical plant that has some rather potent chemicals sitting there, that gets additional points.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
-0.25
Slightly Negative
Harvard-IV (Absolute)
-0.25
Slightly Negative
Harvard-IV (Logit)
-0.45199
VADER
0.392
Somewhat Positive
Moderation
Sexual
0.0489764905
OpenAI Moderation v1 (007)
Violence
0.0051760788
OpenAI Moderation v1 (007)
Violence > Graphic
0.0050922696
OpenAI Moderation v1 (007)
Harassment
0.0033474433
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0007469877
OpenAI Moderation v1 (007)
Sexual > Minors
0.0003400489
OpenAI Moderation v1 (007)
Self-Harm
0.0001498319
OpenAI Moderation v1 (007)
Hate
2.70122E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.68771E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.26259E-5
OpenAI Moderation v1 (007)
Hate > Threatening
3.4742E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Social Issue > Demographics
Score:
100
Magnitude:
0.375
Code:
14003000
Url:
https://cv.iptc.org/newscodes/subjectcode/14003000
Wikidata_id:
Q37732
Wikidata_label:
demography
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
49.8
Gunning-Fog Score
15.4
Coleman-Liau Index
10.9
SMOG Index
12
Automated Readability Index
11.7
Dale-Chall Readability Score
5
Sprache Readability Score
5
Dale-Chall Difficult Word Score
23
Sprache Difficult Word Count
22

Jon Kyl

Excuse me, but in each of those cases, then, you would also insist that the money that is granted based upon that formula be directed to the threat against that particular kind of target?
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
0.5
Positive
Harvard-IV (Absolute)
0.5
Positive
Harvard-IV (Logit)
0.8473
VADER
-0.45
Negative
Moderation
Violence
0.0443051598
OpenAI Moderation v1 (007)
Harassment
0.0136905088
OpenAI Moderation v1 (007)
Violence > Graphic
0.0070440088
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0060897248
OpenAI Moderation v1 (007)
Self-Harm
0.0028301305
OpenAI Moderation v1 (007)
Hate
0.001103465
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0002156665
OpenAI Moderation v1 (007)
Sexual
5.43547E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.90615E-5
OpenAI Moderation v1 (007)
Hate > Threatening
2.91254E-5
OpenAI Moderation v1 (007)
Sexual > Minors
4.3428E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Sport > Motor Racing > Formula One
Score:
100
Magnitude:
0.226
Code:
15039001
Url:
https://cv.iptc.org/newscodes/subjectcode/15039001
Wikidata_id:
Q1968
Wikidata_label:
Formula One
Source:
IPTC Subject
Topic:
Energy
Score:
37.478
Magnitude:
94
Code:
8
Url:
https://fsc.al/cap-mc#8
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
45.4
Gunning-Fog Score
17.1
Coleman-Liau Index
10.2
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
5.4
Sprache Readability Score
5
Dale-Chall Difficult Word Score
8
Sprache Difficult Word Count
9

Richard Clarke

Against that particular facility, yes. It couldn't be spent for anything, yes, but I think you can come up with a simple grant formula. But there is a key to this that is often overlooked because States give the money out now. The Federal Government gives it to the States and the States, in turn, give it out to cities and towns.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
0.42857
Positive
Harvard-IV (Absolute)
0.42857
Positive
Harvard-IV (Logit)
0.78846
VADER
0.7
Very Positive
Moderation
Violence
0.0125079387
OpenAI Moderation v1 (007)
Violence > Graphic
0.0039641196
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0005092685
OpenAI Moderation v1 (007)
Hate
0.0001592896
OpenAI Moderation v1 (007)
Harassment
0.0001572101
OpenAI Moderation v1 (007)
Sexual
0.0001263304
OpenAI Moderation v1 (007)
Sexual > Minors
7.98803E-5
OpenAI Moderation v1 (007)
Self-Harm
1.69723E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.01102E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
6.7187E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.7508E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Sport > Motor Racing > Formula One
Score:
100
Magnitude:
0.074
Code:
15039001
Url:
https://cv.iptc.org/newscodes/subjectcode/15039001
Wikidata_id:
Q1968
Wikidata_label:
Formula One
Source:
IPTC Subject
Topic:
Law and Crime
Score:
77.325
Magnitude:
34
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Topic:
Politics > Government
Score:
69
Magnitude:
0.051
Code:
11006000
Url:
https://cv.iptc.org/newscodes/subjectcode/11006000
Wikidata_id:
Q7188
Wikidata_label:
government
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
6.6
Flesch-Kincaid Ease
75.1
Gunning-Fog Score
9.4
Coleman-Liau Index
8.8
SMOG Index
10.8
Automated Readability Index
6
Dale-Chall Readability Score
2.3
Sprache Readability Score
3.5
Dale-Chall Difficult Word Score
6
Sprache Difficult Word Count
12

Richard Clarke

Really, we need metropolitan concepts, and all too often the money goes to one city or one town in the metropolitan area and doesn't build a metropolitan capability. I would like to condition some of the money going to metropolitan areas on the cities and towns cooperating with each other.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.33333
Somewhat Positive
Harvard-IV (Absolute)
0.33333
Somewhat Positive
Harvard-IV (Logit)
0.51083
VADER
0.361
Somewhat Positive
Moderation
Violence
0.0248029712
OpenAI Moderation v1 (007)
Violence > Graphic
0.0160643962
OpenAI Moderation v1 (007)
Harassment
0.005245642
OpenAI Moderation v1 (007)
Hate
0.0011677703
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.000573971
OpenAI Moderation v1 (007)
Sexual
0.0004366384
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0003570672
OpenAI Moderation v1 (007)
Self-Harm
0.0002683617
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0001529037
OpenAI Moderation v1 (007)
Sexual > Minors
4.51444E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.1879E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Arts, Culture and Entertainment > Library and Museum
Score:
100
Magnitude:
0.127
Code:
1009000
Url:
https://cv.iptc.org/newscodes/subjectcode/01009000
Wikidata_id:
Q3152824
Wikidata_label:
cultural institution
Source:
IPTC Subject
Topic:
Government Operations
Score:
72.539
Magnitude:
62
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
35.9
Gunning-Fog Score
15.6
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
4.4
Sprache Readability Score
4.4
Dale-Chall Difficult Word Score
10
Sprache Difficult Word Count
9

Richard Clarke

As you know very well, there is a lot of political in- fighting between suburbs and core cities, and not always do we find their fire departments and police departments and hospitals cooperating with each other in planning or in developing capabilities. In some places that happens; usually, it doesn't.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
0.33333
Somewhat Positive
Harvard-IV (Absolute)
0.33333
Somewhat Positive
Harvard-IV (Logit)
0.58779
VADER
-0.369
Somewhat Negative
Moderation
Harassment
0.0137911222
OpenAI Moderation v1 (007)
Violence > Graphic
0.0122004385
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0078522833
OpenAI Moderation v1 (007)
Violence
0.0054346292
OpenAI Moderation v1 (007)
Sexual
0.004145841
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.003019251
OpenAI Moderation v1 (007)
Self-Harm
0.0028475983
OpenAI Moderation v1 (007)
Sexual > Minors
0.0023471182
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0004353698
OpenAI Moderation v1 (007)
Hate
0.0003246172
OpenAI Moderation v1 (007)
Hate > Threatening
2.55028E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Disaster and Accident > Fire
Score:
100
Magnitude:
0.108
Code:
3004000
Url:
https://cv.iptc.org/newscodes/subjectcode/03004000
Wikidata_id:
Q3196
Wikidata_label:
fire
Source:
IPTC Subject
Topic:
Government Operations
Score:
38.136
Magnitude:
50
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Topic:
Domestic Commerce
Score:
25.382
Magnitude:
50
Code:
15
Url:
https://fsc.al/cap-mc#15
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
41
Gunning-Fog Score
16.4
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
5
Sprache Readability Score
4.8
Dale-Chall Difficult Word Score
12
Sprache Difficult Word Count
13

Richard Clarke

There should be some incentive process or perhaps a withholding of money until metropolitan councils of government put together cooperative programs that take into account all of the assets available in the metropolitan area and have a metropolitan plan.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.5
Positive
Harvard-IV (Absolute)
0.5
Positive
Harvard-IV (Logit)
0.8473
VADER
0.494
Positive
Moderation
Violence > Graphic
0.0087996363
OpenAI Moderation v1 (007)
Harassment
0.0047872189
OpenAI Moderation v1 (007)
Sexual
0.003748175
OpenAI Moderation v1 (007)
Violence
0.0020548703
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0004685933
OpenAI Moderation v1 (007)
Hate
0.0001294415
OpenAI Moderation v1 (007)
Hate > Threatening
6.32573E-5
OpenAI Moderation v1 (007)
Sexual > Minors
3.41582E-5
OpenAI Moderation v1 (007)
Self-Harm
3.28768E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.60311E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.084E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Arts, Culture and Entertainment > Library and Museum
Score:
100
Magnitude:
0.102
Code:
1009000
Url:
https://cv.iptc.org/newscodes/subjectcode/01009000
Wikidata_id:
Q3152824
Wikidata_label:
cultural institution
Source:
IPTC Subject
Topic:
Politics > Government
Score:
71
Magnitude:
0.073
Code:
11006000
Url:
https://cv.iptc.org/newscodes/subjectcode/11006000
Wikidata_id:
Q7188
Wikidata_label:
government
Source:
IPTC Subject
Topic:
Government Operations
Score:
48.041
Magnitude:
50
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
4.6
Gunning-Fog Score
19
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
6.8
Sprache Readability Score
5
Dale-Chall Difficult Word Score
12
Sprache Difficult Word Count
12

Jon Kyl

Thank you.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.09861
VADER
0.361
Somewhat Positive
Moderation
Sexual
0.2629510825
OpenAI Moderation v1 (007)
Violence
0.0160206022
OpenAI Moderation v1 (007)
Violence > Graphic
0.0080675614
OpenAI Moderation v1 (007)
Hate
0.0037115424
OpenAI Moderation v1 (007)
Harassment
0.0028250586
OpenAI Moderation v1 (007)
Sexual > Minors
0.0015758076
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0010764438
OpenAI Moderation v1 (007)
Self-Harm
5.68865E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.51299E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.22913E-5
OpenAI Moderation v1 (007)
Hate > Threatening
9.7689E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Domestic Commerce
Score:
93.861
Magnitude:
39
Code:
15
Url:
https://fsc.al/cap-mc#15
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
0
Flesch-Kincaid Ease
100
Gunning-Fog Score
0.8
Coleman-Liau Index
7.6
SMOG Index
3.3
Automated Readability Index
0
Dale-Chall Readability Score
0.1
Sprache Readability Score
0.9
Dale-Chall Difficult Word Score
0
Sprache Difficult Word Count
0

Jon Kyl

Dr. Posner?
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
0
Neutral
Moderation
Violence
0.0131244495
OpenAI Moderation v1 (007)
Harassment
0.0080274338
OpenAI Moderation v1 (007)
Violence > Graphic
0.0050425879
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0024208735
OpenAI Moderation v1 (007)
Self-Harm
0.0005156117
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0004836548
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.00023669
OpenAI Moderation v1 (007)
Sexual
0.0002366388
OpenAI Moderation v1 (007)
Hate
0.0001396719
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001347632
OpenAI Moderation v1 (007)
Hate > Threatening
4.5607E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
2.5
Flesch-Kincaid Ease
78.9
Gunning-Fog Score
0.4
Coleman-Liau Index
7.5
SMOG Index
3.3
Automated Readability Index
0
Dale-Chall Readability Score
10
Sprache Readability Score
0.9
Dale-Chall Difficult Word Score
2
Sprache Difficult Word Count
2

Paul Posner

Well, I think the process that has been described would be far more analytic than what we typically do in allocating Federal funds, and would be obviously very salutary. Typically, what we do is rely on proxies for those things. Now, here, I think density may serve as one proxy, but the extent to which we can get hard data on relative threats, relative vulnerabilities, and use that as a guide, I think we would be well ahead of the game.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.60944
Harvard-IV (Relative)
0.14286
Leans Positive
Harvard-IV (Absolute)
0.14286
Leans Positive
Harvard-IV (Logit)
0.25131
VADER
-0.459
Negative
Moderation
Harassment
0.0588273397
OpenAI Moderation v1 (007)
Violence > Graphic
0.0393942319
OpenAI Moderation v1 (007)
Sexual
0.0292385201
OpenAI Moderation v1 (007)
Violence
0.0276587933
OpenAI Moderation v1 (007)
Sexual > Minors
0.0234437844
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.020615595
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0166339392
OpenAI Moderation v1 (007)
Hate
0.0032353204
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0024290393
OpenAI Moderation v1 (007)
Self-Harm
0.0023997634
OpenAI Moderation v1 (007)
Hate > Threatening
0.0004504687
OpenAI Moderation v1 (007)
Topics
Topic:
Social Issue > Family
Score:
100
Magnitude:
0.119
Code:
14006000
Url:
https://cv.iptc.org/newscodes/subjectcode/14006000
Wikidata_id:
Q8436
Wikidata_label:
family
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
53.1
Gunning-Fog Score
15.7
Coleman-Liau Index
9.5
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
5.2
Sprache Readability Score
5
Dale-Chall Difficult Word Score
20
Sprache Difficult Word Count
20

Paul Posner

I also think it is very important to observe the role of the State here, the notion that we may need to give guidance as to how States pass money through, which right now, as you have indicated and as others have indicated, is a kind of a very understudied area, to understand how States are actually allocating those funds, and ultimately think about ways to involve the States and their capacity for coordination in allocating these funds.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.63636
Very Positive
Harvard-IV (Absolute)
0.63636
Very Positive
Harvard-IV (Logit)
1.335
VADER
0.265
Slightly Positive
Moderation
Violence > Graphic
0.3012908855
OpenAI Moderation v1 (007)
Violence
0.0907941081
OpenAI Moderation v1 (007)
Harassment
0.0626811874
OpenAI Moderation v1 (007)
Self-Harm
0.0082938168
OpenAI Moderation v1 (007)
Harassment > Threatening
0.007151068
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.005315739
OpenAI Moderation v1 (007)
Sexual
0.0026180629
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0005995988
OpenAI Moderation v1 (007)
Hate
0.0005986886
OpenAI Moderation v1 (007)
Hate > Threatening
9.97322E-5
OpenAI Moderation v1 (007)
Sexual > Minors
2.78875E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Crime, Law and Justice > Justice and Rights
Score:
100
Magnitude:
0.095
Code:
2007000
Url:
https://cv.iptc.org/newscodes/subjectcode/02007000
Wikidata_id:
Q5167661
Wikidata_label:
justice
Source:
IPTC Subject
Topic:
Defense
Score:
82.492
Magnitude:
81
Code:
16
Url:
https://fsc.al/cap-mc#16
Source:
Comparative Agendas
Topic:
Politics
Score:
65
Magnitude:
0.061
Code:
11000000
Url:
https://cv.iptc.org/newscodes/subjectcode/11000000
Wikidata_id:
Q7163
Wikidata_label:
politics
Source:
IPTC Subject
Topic:
Social Issue
Score:
60
Magnitude:
0.057
Code:
14000000
Url:
https://cv.iptc.org/newscodes/subjectcode/14000000
Wikidata_id:
Q8425
Wikidata_label:
society
Source:
IPTC Subject
Topic:
Arts, Culture and Entertainment > Culture (General)
Score:
57
Magnitude:
0.055
Code:
1022000
Url:
https://cv.iptc.org/newscodes/subjectcode/01022000
Wikidata_id:
Q11042
Wikidata_label:
culture
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
0
Gunning-Fog Score
19
Coleman-Liau Index
11.2
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
7.5
Sprache Readability Score
5
Dale-Chall Difficult Word Score
18
Sprache Difficult Word Count
17

Paul Posner

I know there is some sensitivity about whether the money goes directly to locals or goes through the State. One area we have seen a combination observed is in transportation, where the States are required to develop a statewide plan that lays out broad goals. Money can go directly to other recipients, but the project has to be contained in that statewide plan so that the plan becomes kind of a vehicle for coordination.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
2.3979
VADER
0
Neutral
Moderation
Harassment
3.2857578248
OpenAI Moderation v1 (007)
Sexual
0.1332910964
OpenAI Moderation v1 (007)
Hate
0.0341973937
OpenAI Moderation v1 (007)
Violence
0.0198959518
OpenAI Moderation v1 (007)
Harassment > Threatening
0.006156788
OpenAI Moderation v1 (007)
Violence > Graphic
0.000458688
OpenAI Moderation v1 (007)
Self-Harm
0.0004508198
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0002540424
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0001420408
OpenAI Moderation v1 (007)
Sexual > Minors
8.61656E-5
OpenAI Moderation v1 (007)
Hate > Threatening
3.60962E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Government Operations
Score:
67.648
Magnitude:
78
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
11.9
Flesch-Kincaid Ease
53.8
Gunning-Fog Score
15.8
Coleman-Liau Index
11.6
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
5.1
Sprache Readability Score
5
Dale-Chall Difficult Word Score
18
Sprache Difficult Word Count
19

Jon Kyl

Thank you.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.09861
VADER
0.361
Somewhat Positive
Moderation
Violence
0.0279186177
OpenAI Moderation v1 (007)
Sexual
0.023435647
OpenAI Moderation v1 (007)
Harassment
0.0055746907
OpenAI Moderation v1 (007)
Hate
0.0040998839
OpenAI Moderation v1 (007)
Violence > Graphic
0.0039040526
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0031453103
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0022274651
OpenAI Moderation v1 (007)
Self-Harm
0.001605181
OpenAI Moderation v1 (007)
Sexual > Minors
0.000947898
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0009469954
OpenAI Moderation v1 (007)
Hate > Threatening
0.0002040867
OpenAI Moderation v1 (007)
Topics
Topic:
Transportation
Score:
94.95
Magnitude:
74
Code:
10
Url:
https://fsc.al/cap-mc#10
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
0
Flesch-Kincaid Ease
100
Gunning-Fog Score
0.8
Coleman-Liau Index
7.6
SMOG Index
3.3
Automated Readability Index
0
Dale-Chall Readability Score
0.1
Sprache Readability Score
0.9
Dale-Chall Difficult Word Score
0
Sprache Difficult Word Count
0

Jon Kyl

Senator Feinstein.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
0
Neutral
Moderation
Harassment
0.0410817418
OpenAI Moderation v1 (007)
Violence
0.0157656337
OpenAI Moderation v1 (007)
Violence > Graphic
0.0034464116
OpenAI Moderation v1 (007)
Hate
0.0024310253
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0015568197
OpenAI Moderation v1 (007)
Sexual
0.0001046752
OpenAI Moderation v1 (007)
Self-Harm
6.61397E-5
OpenAI Moderation v1 (007)
Hate > Threatening
2.40936E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.93811E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.02942E-5
OpenAI Moderation v1 (007)
Sexual > Minors
1.2906E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
0
Gunning-Fog Score
0.8
Coleman-Liau Index
12
SMOG Index
9
Automated Readability Index
12
Dale-Chall Readability Score
10
Sprache Readability Score
1.1
Dale-Chall Difficult Word Score
2
Sprache Difficult Word Count
2

Dianne Feinstein

Thanks very much, Mr. Chairman.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.09861
VADER
0.44
Positive
Moderation
Violence > Graphic
0.0571589393
OpenAI Moderation v1 (007)
Violence
0.0224863368
OpenAI Moderation v1 (007)
Hate
0.0020040665
OpenAI Moderation v1 (007)
Harassment
0.0015427171
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0005775003
OpenAI Moderation v1 (007)
Sexual
0.0001383457
OpenAI Moderation v1 (007)
Hate > Threatening
8.97188E-5
OpenAI Moderation v1 (007)
Self-Harm
6.5557E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
3.31911E-5
OpenAI Moderation v1 (007)
Sexual > Minors
1.2028E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.702E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
1.9
Flesch-Kincaid Ease
85.9
Gunning-Fog Score
1
Coleman-Liau Index
12
SMOG Index
3.3
Automated Readability Index
2.4
Dale-Chall Readability Score
6.4
Sprache Readability Score
1.1
Dale-Chall Difficult Word Score
2
Sprache Difficult Word Count
2

Dianne Feinstein

When I was mayor, I tried to do some of this and it was very interesting because we did it with the threat of major earthquake in San Francisco and realized that everything goes down. The new, fancy telephones go down absolutely, so you have no land line capacity.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
-0.446
Negative
Moderation
Violence > Graphic
0.0195387198
OpenAI Moderation v1 (007)
Violence
0.0180122603
OpenAI Moderation v1 (007)
Harassment
0.0142596691
OpenAI Moderation v1 (007)
Sexual
0.0084927749
OpenAI Moderation v1 (007)
Sexual > Minors
0.0011241722
OpenAI Moderation v1 (007)
Hate
0.0005405568
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0004011581
OpenAI Moderation v1 (007)
Self-Harm > Instructions
6.97258E-5
OpenAI Moderation v1 (007)
Self-Harm
5.21565E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.40257E-5
OpenAI Moderation v1 (007)
Hate > Threatening
6.766E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Disaster and Accident > Earthquake
Score:
100
Magnitude:
0.429
Code:
3002000
Url:
https://cv.iptc.org/newscodes/subjectcode/03002000
Wikidata_id:
Q7944
Wikidata_label:
earthquake
Source:
IPTC Subject
Topic:
Politics > Local Authority
Score:
51
Magnitude:
0.219
Code:
11008000
Url:
https://cv.iptc.org/newscodes/subjectcode/11008000
Wikidata_id:
Q6501447
Wikidata_label:
local government
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
11.5
Flesch-Kincaid Ease
55.9
Gunning-Fog Score
14.7
Coleman-Liau Index
9.6
SMOG Index
12
Automated Readability Index
11.1
Dale-Chall Readability Score
3.5
Sprache Readability Score
4.6
Dale-Chall Difficult Word Score
7
Sprache Difficult Word Count
12

Dianne Feinstein

We finally had department heads that carried a radio and we rehearsed the radio every Monday morning at 7:30 to see that everybody was online and they carried that radio with them. Of course, in the days that followed, we built a new emergency communications center and communications became much more interoperable.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.33333
Somewhat Positive
Harvard-IV (Absolute)
0.33333
Somewhat Positive
Harvard-IV (Logit)
0.51083
VADER
-0.382
Somewhat Negative
Moderation
Violence > Graphic
0.0241294692
OpenAI Moderation v1 (007)
Violence
0.0056375495
OpenAI Moderation v1 (007)
Harassment
0.0011480115
OpenAI Moderation v1 (007)
Sexual
0.000779802
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0006193687
OpenAI Moderation v1 (007)
Hate
0.0002510662
OpenAI Moderation v1 (007)
Sexual > Minors
7.58526E-5
OpenAI Moderation v1 (007)
Self-Harm
5.0985E-6
OpenAI Moderation v1 (007)
Hate > Threatening
2.1617E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.0696E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
7.324E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance > Media > Radio Industry
Score:
100
Magnitude:
0.201
Code:
4010008
Url:
https://cv.iptc.org/newscodes/subjectcode/04010008
Wikidata_id:
Q7281175
Wikidata_label:
radio industry
Source:
IPTC Subject
Topic:
Technology
Score:
89.723
Magnitude:
49
Code:
17
Url:
https://fsc.al/cap-mc#17
Source:
Comparative Agendas
Topic:
Economy, Business and Finance > Computing and Information Technology > Satellite Technology
Score:
69
Magnitude:
0.138
Code:
4003003
Url:
https://cv.iptc.org/newscodes/subjectcode/04003003
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
33.1
Gunning-Fog Score
19
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
4.6
Sprache Readability Score
4.9
Dale-Chall Difficult Word Score
11
Sprache Difficult Word Count
13

Dianne Feinstein

But what really concerns me, because I have seen it now, is the panic that ensues when you can't communicate, you can't get information. You don't know what streets to move in heavy equipment. You don't know where to get that heavy, street- clearing equipment. You don't know where to pick up your emergency off-duty police and fire. So all of that has to be pre-structured, written in a plan, rehearsed, and known.
Sentiment
Loughran McDonald (Relative)
-0.5
Very Negative
Loughran McDonald (Absolute)
-0.5
Very Negative
Loughran McDonald (Logit)
-0.8473
Harvard-IV (Relative)
-0.07692
Neutral
Harvard-IV (Absolute)
-0.07692
Neutral
Harvard-IV (Logit)
-0.1431
VADER
-0.807
Very Negative
Moderation
Harassment
0.0957223703
OpenAI Moderation v1 (007)
Violence
0.0659764861
OpenAI Moderation v1 (007)
Harassment > Threatening
0.014848182
OpenAI Moderation v1 (007)
Violence > Graphic
0.014148945
OpenAI Moderation v1 (007)
Self-Harm
0.0045995443
OpenAI Moderation v1 (007)
Sexual
0.0036471371
OpenAI Moderation v1 (007)
Hate
0.0032002557
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0015680545
OpenAI Moderation v1 (007)
Sexual > Minors
0.0005394002
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0002795959
OpenAI Moderation v1 (007)
Hate > Threatening
4.80068E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Disaster and Accident > Fire
Score:
100
Magnitude:
0.139
Code:
3004000
Url:
https://cv.iptc.org/newscodes/subjectcode/03004000
Wikidata_id:
Q3196
Wikidata_label:
fire
Source:
IPTC Subject
Topic:
Technology
Score:
90.322
Magnitude:
51
Code:
17
Url:
https://fsc.al/cap-mc#17
Source:
Comparative Agendas
Topic:
Disaster and Accident > Emergency Planning
Score:
63
Magnitude:
0.087
Code:
3016000
Url:
https://cv.iptc.org/newscodes/subjectcode/03016000
Wikidata_id:
Q1460420
Wikidata_label:
emergency management
Source:
IPTC Subject
Topic:
Disaster and Accident > Relief and Aid Organization
Score:
57
Magnitude:
0.08
Code:
3012000
Url:
https://cv.iptc.org/newscodes/subjectcode/03012000
Wikidata_id:
Q11858035
Wikidata_label:
emergency response
Source:
IPTC Subject
Topic:
Crime, Law and Justice > Police
Score:
55
Magnitude:
0.076
Code:
2003000
Url:
https://cv.iptc.org/newscodes/subjectcode/02003000
Wikidata_id:
Q35535
Wikidata_label:
police
Source:
IPTC Subject
Topic:
Arts, Culture and Entertainment > Culture (General)
Score:
52
Magnitude:
0.072
Code:
1022000
Url:
https://cv.iptc.org/newscodes/subjectcode/01022000
Wikidata_id:
Q11042
Wikidata_label:
culture
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
6.2
Flesch-Kincaid Ease
77.7
Gunning-Fog Score
9.2
Coleman-Liau Index
9.5
SMOG Index
9.5
Automated Readability Index
6.4
Dale-Chall Readability Score
3.5
Sprache Readability Score
3.8
Dale-Chall Difficult Word Score
13
Sprache Difficult Word Count
16

Dianne Feinstein

I think that the ideas that you have on pages 4 and 5 of your executive summary really constitute a bill, and so my question to you is would you be willing to work with us and we try to take these very concepts and put them into bill language?
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
-1
Very Negative
Harvard-IV (Absolute)
-1
Very Negative
Harvard-IV (Logit)
-1.94591
VADER
0
Neutral
Moderation
Violence
0.0067594956
OpenAI Moderation v1 (007)
Harassment
0.0009293621
OpenAI Moderation v1 (007)
Violence > Graphic
0.0006744005
OpenAI Moderation v1 (007)
Hate
0.0004884309
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0002770174
OpenAI Moderation v1 (007)
Sexual
7.46692E-5
OpenAI Moderation v1 (007)
Self-Harm
1.95996E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.12998E-5
OpenAI Moderation v1 (007)
Sexual > Minors
1.01414E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
9.1827E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
5.5184E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Arts, Culture and Entertainment > Language
Score:
100
Magnitude:
0.115
Code:
1008000
Url:
https://cv.iptc.org/newscodes/subjectcode/01008000
Wikidata_id:
Q315
Wikidata_label:
language
Source:
IPTC Subject
Topic:
Law and Crime
Score:
30.313
Magnitude:
73
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
46.1
Gunning-Fog Score
19
Coleman-Liau Index
6.6
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
4.1
Sprache Readability Score
5
Dale-Chall Difficult Word Score
5
Sprache Difficult Word Count
10

Warren Rudman

We certainly would, Senator Feinstein, and we would also make available to you the people that we worked with. If you look at the index of who we worked with, I mean it is some of the people across this country, including from your State, that have extraordinary knowledge in this area. So the answer is obviously, if we could, we would be delighted to.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.09861
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
2.3979
VADER
0.691
Very Positive
Moderation
Harassment
0.8422752842
OpenAI Moderation v1 (007)
Violence
0.7049822249
OpenAI Moderation v1 (007)
Hate
0.2184385899
OpenAI Moderation v1 (007)
Harassment > Threatening
0.1607987913
OpenAI Moderation v1 (007)
Violence > Graphic
0.0062269406
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0053110161
OpenAI Moderation v1 (007)
Self-Harm
0.0034867324
OpenAI Moderation v1 (007)
Hate > Threatening
0.0034036824
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0002785564
OpenAI Moderation v1 (007)
Sexual
0.00017411
OpenAI Moderation v1 (007)
Sexual > Minors
2.59562E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Parliament
Score:
100
Magnitude:
0.077
Code:
11009000
Url:
https://cv.iptc.org/newscodes/subjectcode/11009000
Wikidata_id:
Q35749
Wikidata_label:
parliament
Source:
IPTC Subject
Topic:
Government Operations
Score:
43.868
Magnitude:
48
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
9.9
Flesch-Kincaid Ease
62.5
Gunning-Fog Score
12.4
Coleman-Liau Index
9.5
SMOG Index
12
Automated Readability Index
9.6
Dale-Chall Readability Score
4.2
Sprache Readability Score
4.4
Dale-Chall Difficult Word Score
13
Sprache Difficult Word Count
14

Dianne Feinstein

Great.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.09861
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.09861
VADER
0.625
Very Positive
Moderation
Harassment > Threatening
0.0066801382
OpenAI Moderation v1 (007)
Violence
0.0010323187
OpenAI Moderation v1 (007)
Harassment
0.0010258503
OpenAI Moderation v1 (007)
Sexual
0.0008247689
OpenAI Moderation v1 (007)
Violence > Graphic
9.11757E-5
OpenAI Moderation v1 (007)
Hate > Threatening
7.94683E-5
OpenAI Moderation v1 (007)
Sexual > Minors
6.63931E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
6.49536E-5
OpenAI Moderation v1 (007)
Hate
5.6647E-5
OpenAI Moderation v1 (007)
Self-Harm
5.51088E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.5654E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
0
Flesch-Kincaid Ease
100
Gunning-Fog Score
0.4
Coleman-Liau Index
12
SMOG Index
3.3
Automated Readability Index
2.6
Dale-Chall Readability Score
0
Sprache Readability Score
0.8
Dale-Chall Difficult Word Score
0
Sprache Difficult Word Count
0

Dianne Feinstein

A second question. With respect to interoperability, it is my understanding that for a couple hundred thousand dollars, a community can buy these vans and that these vans have the capacity to make existing systems interoperable.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
0.66667
Very Positive
Harvard-IV (Absolute)
0.66667
Very Positive
Harvard-IV (Logit)
1.29928
VADER
0.477
Positive
Moderation
Sexual
0.0501825358
OpenAI Moderation v1 (007)
Violence > Graphic
0.0020268579
OpenAI Moderation v1 (007)
Violence
0.0020175779
OpenAI Moderation v1 (007)
Harassment
0.0017586703
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0011891452
OpenAI Moderation v1 (007)
Self-Harm
0.0005958002
OpenAI Moderation v1 (007)
Sexual > Minors
0.0003024989
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0002485465
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0001777846
OpenAI Moderation v1 (007)
Hate
0.0001412762
OpenAI Moderation v1 (007)
Hate > Threatening
1.8116E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
31.1
Gunning-Fog Score
13.9
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
5.7
Sprache Readability Score
3.8
Dale-Chall Difficult Word Score
11
Sprache Difficult Word Count
12

Dianne Feinstein

Have you looked at these? Do they work and are they adequate?
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.09861
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.09861
VADER
0.309
Somewhat Positive
Moderation
Sexual
0.0497609377
OpenAI Moderation v1 (007)
Violence > Graphic
0.0020326728
OpenAI Moderation v1 (007)
Violence
0.0020024368
OpenAI Moderation v1 (007)
Harassment
0.0017567625
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0012085685
OpenAI Moderation v1 (007)
Self-Harm
0.0005988227
OpenAI Moderation v1 (007)
Sexual > Minors
0.0003039503
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0002551292
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0001779776
OpenAI Moderation v1 (007)
Hate
0.0001422422
OpenAI Moderation v1 (007)
Hate > Threatening
1.8236E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Labor > Employment
Score:
100
Magnitude:
0.247
Code:
9003000
Url:
https://cv.iptc.org/newscodes/subjectcode/09003000
Wikidata_id:
Q656365
Wikidata_label:
employment
Source:
IPTC Subject
Topic:
Social Issue > Social Issues (General)
Score:
93
Magnitude:
0.23
Code:
14025000
Url:
https://cv.iptc.org/newscodes/subjectcode/14025000
Wikidata_id:
Q8425
Wikidata_label:
society
Source:
IPTC Subject
Topic:
Technology
Score:
64.471
Magnitude:
36
Code:
17
Url:
https://fsc.al/cap-mc#17
Source:
Comparative Agendas
Topic:
Economy, Business and Finance > Financial and Business Service > Personal Income
Score:
60
Magnitude:
0.149
Code:
4006019
Url:
https://cv.iptc.org/newscodes/subjectcode/04006019
Wikidata_id:
Q7170591
Wikidata_label:
personal income
Source:
IPTC Subject
Topic:
Arts, Culture and Entertainment > Mass Media > Reviews
Score:
57
Magnitude:
0.141
Code:
1026004
Url:
https://cv.iptc.org/newscodes/subjectcode/01026004
Wikidata_id:
Q2018526
Wikidata_label:
arts
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
0.5
Flesch-Kincaid Ease
100
Gunning-Fog Score
5.7
Coleman-Liau Index
7.7
SMOG Index
7.3
Automated Readability Index
0.4
Dale-Chall Readability Score
2.9
Sprache Readability Score
1.5
Dale-Chall Difficult Word Score
2
Sprache Difficult Word Count
2

Warren Rudman

Well, they do, and I think Dick Clarke may know more than I, but I am aware of the fact that a number of cities are buying software conversions that enable them to not buy whole new radio systems, but small black boxes that go into these radio systems that make them interoperable at a fraction of the cost of tearing everything out and putting something new in.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.09861
Harvard-IV (Relative)
0.5
Positive
Harvard-IV (Absolute)
0.5
Positive
Harvard-IV (Logit)
0.95551
VADER
-0.039
Neutral
Moderation
Harassment
0.0013437303
OpenAI Moderation v1 (007)
Sexual
8.91891E-5
OpenAI Moderation v1 (007)
Hate
8.8523E-5
OpenAI Moderation v1 (007)
Violence
8.47927E-5
OpenAI Moderation v1 (007)
Violence > Graphic
2.04993E-5
OpenAI Moderation v1 (007)
Harassment > Threatening
9.4015E-6
OpenAI Moderation v1 (007)
Sexual > Minors
9.3869E-6
OpenAI Moderation v1 (007)
Hate > Threatening
4.938E-7
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.595E-7
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.348E-7
OpenAI Moderation v1 (007)
Self-Harm
1.146E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance > Company Information > Purchase
Score:
100
Magnitude:
0.088
Code:
4016056
Url:
https://cv.iptc.org/newscodes/subjectcode/04016056
Wikidata_id:
Q868404
Wikidata_label:
final good
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
13.4
Gunning-Fog Score
19
Coleman-Liau Index
9.3
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
6.2
Sprache Readability Score
5
Dale-Chall Difficult Word Score
12
Sprache Difficult Word Count
13

Warren Rudman

I think I am correct about that, Dick.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.09861
VADER
-0.511
Very Negative
Moderation
Sexual
0.010791776
OpenAI Moderation v1 (007)
Violence
0.0036246416
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001917527
OpenAI Moderation v1 (007)
Violence > Graphic
0.0001381824
OpenAI Moderation v1 (007)
Harassment > Threatening
3.39684E-5
OpenAI Moderation v1 (007)
Harassment
3.13729E-5
OpenAI Moderation v1 (007)
Self-Harm
1.82371E-5
OpenAI Moderation v1 (007)
Hate
1.02905E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.8964E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.8291E-6
OpenAI Moderation v1 (007)
Hate > Threatening
1.4372E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Technology
Score:
89.948
Magnitude:
68
Code:
17
Url:
https://fsc.al/cap-mc#17
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
2.3
Flesch-Kincaid Ease
93
Gunning-Fog Score
3.2
Coleman-Liau Index
5.5
SMOG Index
3.3
Automated Readability Index
0
Dale-Chall Readability Score
2.4
Sprache Readability Score
1.8
Dale-Chall Difficult Word Score
1
Sprache Difficult Word Count
2

Richard Clarke

I think that is exactly right.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.09861
VADER
0
Neutral
Moderation
Harassment
0.3021779703
OpenAI Moderation v1 (007)
Violence
0.2277339343
OpenAI Moderation v1 (007)
Sexual
0.0540147768
OpenAI Moderation v1 (007)
Self-Harm
0.0281973858
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0198591646
OpenAI Moderation v1 (007)
Hate
0.0072192772
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0047271998
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0029268185
OpenAI Moderation v1 (007)
Violence > Graphic
0.0018713499
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001880322
OpenAI Moderation v1 (007)
Hate > Threatening
7.3765E-5
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
2.5
Flesch-Kincaid Ease
87.9
Gunning-Fog Score
9.1
Coleman-Liau Index
7.7
SMOG Index
9
Automated Readability Index
0.4
Dale-Chall Readability Score
2.9
Sprache Readability Score
1.5
Dale-Chall Difficult Word Score
1
Sprache Difficult Word Count
1

Richard Clarke

Senator Feinstein, you mentioned the San Francisco emergency communications facility which you helped to create. We went there as part of the study and what we found is that you are absolutely right. They are relying a lot on telephones, and the collapse of a few telephone buildings here and there, intentional or otherwise, and you are out of business.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.60944
Harvard-IV (Relative)
0.14286
Leans Positive
Harvard-IV (Absolute)
0.14286
Leans Positive
Harvard-IV (Logit)
0.25131
VADER
-0.572
Very Negative
Moderation
Harassment
0.0837711093
OpenAI Moderation v1 (007)
Violence
0.0016344517
OpenAI Moderation v1 (007)
Sexual
0.0009904793
OpenAI Moderation v1 (007)
Violence > Graphic
0.000763292
OpenAI Moderation v1 (007)
Hate
0.0006798915
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0001494292
OpenAI Moderation v1 (007)
Self-Harm
5.3987E-5
OpenAI Moderation v1 (007)
Sexual > Minors
3.80876E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.86129E-5
OpenAI Moderation v1 (007)
Hate > Threatening
4.1071E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.0985E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance > Computing and Information Technology > Telecommunication Equipment
Score:
100
Magnitude:
0.093
Code:
4003006
Url:
https://cv.iptc.org/newscodes/subjectcode/04003006
Source:
IPTC Subject
Topic:
Politics > Parliament
Score:
62
Magnitude:
0.057
Code:
11009000
Url:
https://cv.iptc.org/newscodes/subjectcode/11009000
Wikidata_id:
Q35749
Wikidata_label:
parliament
Source:
IPTC Subject
Topic:
Crime, Law and Justice > Justice and Rights
Score:
58
Magnitude:
0.054
Code:
2007000
Url:
https://cv.iptc.org/newscodes/subjectcode/02007000
Wikidata_id:
Q5167661
Wikidata_label:
justice
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
11.1
Flesch-Kincaid Ease
51.2
Gunning-Fog Score
14
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
11.2
Dale-Chall Readability Score
4.9
Sprache Readability Score
4.6
Dale-Chall Difficult Word Score
15
Sprache Difficult Word Count
18

Richard Clarke

Yet, as we saw on 9/11, and as we saw during the Northeast power blackout, the Internet works even during these times of crisis. Yet, all too often there are no Internet communications available to fire and police. The chief of the fire department in San Francisco said he would love to be able, when they roll on a building with a fire truck, to have a computer in that fire truck and to be able to pull up the building plans from city hall that are on file so he will know what the building looks like before he sends his people inside.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-2.3979
Harvard-IV (Relative)
-0.11111
Leans Negative
Harvard-IV (Absolute)
-0.11111
Leans Negative
Harvard-IV (Logit)
-0.20067
VADER
-0.802
Very Negative
Moderation
Harassment
0.016287301
OpenAI Moderation v1 (007)
Sexual
0.0067291192
OpenAI Moderation v1 (007)
Violence
0.0022734101
OpenAI Moderation v1 (007)
Self-Harm
0.0019190566
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0015840646
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0006120799
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0004638218
OpenAI Moderation v1 (007)
Violence > Graphic
0.0003691518
OpenAI Moderation v1 (007)
Hate
0.0003535975
OpenAI Moderation v1 (007)
Sexual > Minors
0.0002024334
OpenAI Moderation v1 (007)
Hate > Threatening
2.37682E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Disaster and Accident > Fire
Score:
100
Magnitude:
0.966
Code:
3004000
Url:
https://cv.iptc.org/newscodes/subjectcode/03004000
Wikidata_id:
Q3196
Wikidata_label:
fire
Source:
IPTC Subject
Topic:
Technology
Score:
89.589
Magnitude:
60
Code:
17
Url:
https://fsc.al/cap-mc#17
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
60.1
Gunning-Fog Score
15.5
Coleman-Liau Index
7.9
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
3.5
Sprache Readability Score
5
Dale-Chall Difficult Word Score
12
Sprache Difficult Word Count
14

Dianne Feinstein

In other words, kind of like a basic car plan that police have.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.94591
VADER
0.009
Neutral
Moderation
Sexual
0.0416337891
OpenAI Moderation v1 (007)
Self-Harm
0.0021198346
OpenAI Moderation v1 (007)
Harassment
0.0019365716
OpenAI Moderation v1 (007)
Violence
0.0016632583
OpenAI Moderation v1 (007)
Violence > Graphic
0.0013692842
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0013545907
OpenAI Moderation v1 (007)
Sexual > Minors
0.0008383317
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0001828116
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0001305109
OpenAI Moderation v1 (007)
Hate
7.28934E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.2233E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Crime, Law and Justice > Police
Score:
100
Magnitude:
0.267
Code:
2003000
Url:
https://cv.iptc.org/newscodes/subjectcode/02003000
Wikidata_id:
Q35535
Wikidata_label:
police
Source:
IPTC Subject
Topic:
Technology
Score:
91.901
Magnitude:
103
Code:
17
Url:
https://fsc.al/cap-mc#17
Source:
Comparative Agendas
Topic:
Sport > Motor Racing > Formula One
Score:
78
Magnitude:
0.209
Code:
15039001
Url:
https://cv.iptc.org/newscodes/subjectcode/15039001
Wikidata_id:
Q1968
Wikidata_label:
Formula One
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
4
Flesch-Kincaid Ease
89.5
Gunning-Fog Score
5.2
Coleman-Liau Index
6.4
SMOG Index
3.3
Automated Readability Index
2.8
Dale-Chall Readability Score
3.1
Sprache Readability Score
2.4
Dale-Chall Difficult Word Score
2
Sprache Difficult Word Count
2

Richard Clarke

Exactly, but all too often we find in police and fire departments around the country that they are really still 20th century, that they are not using computer technology; they are not using IP, Internet protocol, devices. So there is a lot that could be done. I think that is why Senator Rudman says our first priority would be communications.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
0.5
Positive
Harvard-IV (Absolute)
0.5
Positive
Harvard-IV (Logit)
0.8473
VADER
-0.477
Negative
Moderation
Harassment
0.0864925387
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0146996463
OpenAI Moderation v1 (007)
Violence > Graphic
0.0100679528
OpenAI Moderation v1 (007)
Violence
0.0090427464
OpenAI Moderation v1 (007)
Sexual
0.0068881272
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0007621174
OpenAI Moderation v1 (007)
Hate
0.0007375145
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0005398078
OpenAI Moderation v1 (007)
Self-Harm
0.0002343717
OpenAI Moderation v1 (007)
Hate > Threatening
0.0002197574
OpenAI Moderation v1 (007)
Sexual > Minors
8.35189E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Science and Technology > Technology (General)
Score:
100
Magnitude:
0.155
Code:
13010000
Url:
https://cv.iptc.org/newscodes/subjectcode/13010000
Wikidata_id:
Q11016
Wikidata_label:
technology
Source:
IPTC Subject
Topic:
Law and Crime
Score:
92.499
Magnitude:
13
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Topic:
Economy, Business and Finance > Computing and Information Technology
Score:
85
Magnitude:
0.132
Code:
4003000
Url:
https://cv.iptc.org/newscodes/subjectcode/04003000
Wikidata_id:
Q179310
Wikidata_label:
computing
Source:
IPTC Subject
Topic:
Economy, Business and Finance > Computing and Information Technology > Hardware
Score:
68
Magnitude:
0.105
Code:
4003001
Url:
https://cv.iptc.org/newscodes/subjectcode/04003001
Wikidata_id:
Q11351
Wikidata_label:
organic chemistry
Source:
IPTC Subject
Topic:
Arts, Culture and Entertainment > Internet
Score:
61
Magnitude:
0.094
Code:
1027000
Url:
https://cv.iptc.org/newscodes/subjectcode/01027000
Wikidata_id:
Q1153191
Wikidata_label:
online newspaper
Source:
IPTC Subject
Topic:
Disaster and Accident > Fire
Score:
61
Magnitude:
0.095
Code:
3004000
Url:
https://cv.iptc.org/newscodes/subjectcode/03004000
Wikidata_id:
Q3196
Wikidata_label:
fire
Source:
IPTC Subject
Topic:
Crime, Law and Justice > Police
Score:
60
Magnitude:
0.093
Code:
2003000
Url:
https://cv.iptc.org/newscodes/subjectcode/02003000
Wikidata_id:
Q35535
Wikidata_label:
police
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
10.9
Flesch-Kincaid Ease
52.6
Gunning-Fog Score
14
Coleman-Liau Index
11.1
SMOG Index
12
Automated Readability Index
10.1
Dale-Chall Readability Score
5.5
Sprache Readability Score
4.5
Dale-Chall Difficult Word Score
17
Sprache Difficult Word Count
17

Dianne Feinstein

Just as a former mayor who dealt with this, I think that is right.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.09861
VADER
0
Neutral
Moderation
Violence > Graphic
0.0122649435
OpenAI Moderation v1 (007)
Sexual
0.0103975297
OpenAI Moderation v1 (007)
Harassment
0.0028915987
OpenAI Moderation v1 (007)
Violence
0.002494279
OpenAI Moderation v1 (007)
Hate
0.001955751
OpenAI Moderation v1 (007)
Harassment > Threatening
0.000789728
OpenAI Moderation v1 (007)
Sexual > Minors
0.0002746874
OpenAI Moderation v1 (007)
Self-Harm
1.75302E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
8.5836E-6
OpenAI Moderation v1 (007)
Hate > Threatening
4.6359E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.223E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Technology
Score:
90.11
Magnitude:
60
Code:
17
Url:
https://fsc.al/cap-mc#17
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
3.4
Flesch-Kincaid Ease
95.9
Gunning-Fog Score
5.6
Coleman-Liau Index
5.6
SMOG Index
3.3
Automated Readability Index
2.7
Dale-Chall Readability Score
3
Sprache Readability Score
2.6
Dale-Chall Difficult Word Score
2
Sprache Difficult Word Count
3

Warren Rudman

When people can't talk to each other, there is panic that results if there is an emergency. It is absolutely essential and we think it is the number-one priority.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
-0.33333
Somewhat Negative
Harvard-IV (Absolute)
-0.33333
Somewhat Negative
Harvard-IV (Logit)
-0.51083
VADER
-0.71
Very Negative
Moderation
Harassment
1.378892269
OpenAI Moderation v1 (007)
Violence
0.0264878036
OpenAI Moderation v1 (007)
Hate
0.0189239014
OpenAI Moderation v1 (007)
Violence > Graphic
0.0136440489
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0133379057
OpenAI Moderation v1 (007)
Sexual
0.0022327458
OpenAI Moderation v1 (007)
Self-Harm
0.0004608852
OpenAI Moderation v1 (007)
Sexual > Minors
0.0003969169
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.50677E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.22773E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.06911E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Disaster and Accident > Emergency Incident
Score:
100
Magnitude:
0.103
Code:
3014000
Url:
https://cv.iptc.org/newscodes/subjectcode/03014000
Wikidata_id:
Q5070802
Wikidata_label:
emergency
Source:
IPTC Subject
Topic:
Politics
Score:
57
Magnitude:
0.059
Code:
11000000
Url:
https://cv.iptc.org/newscodes/subjectcode/11000000
Wikidata_id:
Q7163
Wikidata_label:
politics
Source:
IPTC Subject
Topic:
Arts, Culture and Entertainment > Culture (General)
Score:
51
Magnitude:
0.052
Code:
1022000
Url:
https://cv.iptc.org/newscodes/subjectcode/01022000
Wikidata_id:
Q11042
Wikidata_label:
culture
Source:
IPTC Subject
Topic:
Government Operations
Score:
34.714
Magnitude:
14
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
8.4
Flesch-Kincaid Ease
61.9
Gunning-Fog Score
11.3
Coleman-Liau Index
9.5
SMOG Index
11.3
Automated Readability Index
6.3
Dale-Chall Readability Score
3.9
Sprache Readability Score
3
Dale-Chall Difficult Word Score
6
Sprache Difficult Word Count
6

Dianne Feinstein

I have watched as certain targets seem to crop all of the time, and yet nothing really changes out there to really deal with those targets, to make them less vulnerable. I think if we could just deal with the communications situation, we would be a lot better off with police and fire.
Sentiment
Loughran McDonald (Relative)
-0.33333
Somewhat Negative
Loughran McDonald (Absolute)
-0.33333
Somewhat Negative
Loughran McDonald (Logit)
-0.51083
Harvard-IV (Relative)
0.5
Positive
Harvard-IV (Absolute)
0.5
Positive
Harvard-IV (Logit)
0.8473
VADER
0.242
Slightly Positive
Moderation
Harassment
1.3527553529
OpenAI Moderation v1 (007)
Violence > Graphic
0.2595466329
OpenAI Moderation v1 (007)
Violence
0.1783706015
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0200944574
OpenAI Moderation v1 (007)
Hate
0.0075165088
OpenAI Moderation v1 (007)
Sexual
0.0054202199
OpenAI Moderation v1 (007)
Self-Harm
0.0029176001
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0003574096
OpenAI Moderation v1 (007)
Sexual > Minors
0.000209053
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0001371878
OpenAI Moderation v1 (007)
Hate > Threatening
8.6801E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Disaster and Accident > Fire
Score:
100
Magnitude:
0.191
Code:
3004000
Url:
https://cv.iptc.org/newscodes/subjectcode/03004000
Wikidata_id:
Q3196
Wikidata_label:
fire
Source:
IPTC Subject
Topic:
Crime, Law and Justice > Police
Score:
59
Magnitude:
0.112
Code:
2003000
Url:
https://cv.iptc.org/newscodes/subjectcode/02003000
Wikidata_id:
Q35535
Wikidata_label:
police
Source:
IPTC Subject
Topic:
Disaster and Accident > Relief and Aid Organization
Score:
58
Magnitude:
0.111
Code:
3012000
Url:
https://cv.iptc.org/newscodes/subjectcode/03012000
Wikidata_id:
Q11858035
Wikidata_label:
emergency response
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
11.4
Flesch-Kincaid Ease
60.2
Gunning-Fog Score
14.4
Coleman-Liau Index
9.5
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
3.7
Sprache Readability Score
4.7
Dale-Chall Difficult Word Score
8
Sprache Difficult Word Count
10

Dianne Feinstein

So if you would work with us, maybe we should try to put something together and have the other Senators here, who I know are interested, work on it as well.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.33333
Somewhat Positive
Harvard-IV (Absolute)
0.33333
Somewhat Positive
Harvard-IV (Logit)
0.51083
VADER
0.586
Very Positive
Moderation
Violence > Graphic
0.0840846391
OpenAI Moderation v1 (007)
Harassment
0.0790574239
OpenAI Moderation v1 (007)
Violence
0.0181162774
OpenAI Moderation v1 (007)
Hate
0.0052900094
OpenAI Moderation v1 (007)
Sexual
0.0014736663
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0010079438
OpenAI Moderation v1 (007)
Self-Harm
7.41907E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
8.5604E-6
OpenAI Moderation v1 (007)
Sexual > Minors
5.4665E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
4.7105E-6
OpenAI Moderation v1 (007)
Hate > Threatening
3.658E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Parliament
Score:
100
Magnitude:
0.051
Code:
11009000
Url:
https://cv.iptc.org/newscodes/subjectcode/11009000
Wikidata_id:
Q35749
Wikidata_label:
parliament
Source:
IPTC Subject
Topic:
Law and Crime
Score:
98.009
Magnitude:
53
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
60.8
Gunning-Fog Score
16.3
Coleman-Liau Index
7.4
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
2.6
Sprache Readability Score
4.6
Dale-Chall Difficult Word Score
2
Sprache Difficult Word Count
2

Dianne Feinstein

Thank you.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.09861
VADER
0.361
Somewhat Positive
Moderation
Harassment
3.240544349
OpenAI Moderation v1 (007)
Violence
0.0915388286
OpenAI Moderation v1 (007)
Hate
0.0528471544
OpenAI Moderation v1 (007)
Violence > Graphic
0.0469651131
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0062495761
OpenAI Moderation v1 (007)
Sexual
0.0016784417
OpenAI Moderation v1 (007)
Self-Harm
0.0004255304
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001565236
OpenAI Moderation v1 (007)
Self-Harm > Intent
3.52113E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.59001E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.28765E-5
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
0
Flesch-Kincaid Ease
100
Gunning-Fog Score
0.8
Coleman-Liau Index
7.6
SMOG Index
3.3
Automated Readability Index
0
Dale-Chall Readability Score
0.1
Sprache Readability Score
0.9
Dale-Chall Difficult Word Score
0
Sprache Difficult Word Count
0

Jon Kyl

Thank you.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.09861
VADER
0.361
Somewhat Positive
Moderation
Harassment
0.1643957919
OpenAI Moderation v1 (007)
Violence
0.0441739045
OpenAI Moderation v1 (007)
Hate
0.0079675898
OpenAI Moderation v1 (007)
Violence > Graphic
0.0042757376
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0034277808
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001326293
OpenAI Moderation v1 (007)
Sexual
8.30746E-5
OpenAI Moderation v1 (007)
Hate > Threatening
3.00827E-5
OpenAI Moderation v1 (007)
Self-Harm
1.30466E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
7.4963E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
4.9438E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
0
Flesch-Kincaid Ease
100
Gunning-Fog Score
0.8
Coleman-Liau Index
7.6
SMOG Index
3.3
Automated Readability Index
0
Dale-Chall Readability Score
0.1
Sprache Readability Score
0.9
Dale-Chall Difficult Word Score
0
Sprache Difficult Word Count
0

Jon Kyl

Senator Biden.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
0
Neutral
Moderation
Harassment
0.5667078309
OpenAI Moderation v1 (007)
Violence
0.5014143884
OpenAI Moderation v1 (007)
Hate
0.0520426256
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0307910901
OpenAI Moderation v1 (007)
Violence > Graphic
0.0169866413
OpenAI Moderation v1 (007)
Hate > Threatening
0.0001084219
OpenAI Moderation v1 (007)
Sexual
2.16978E-5
OpenAI Moderation v1 (007)
Self-Harm
1.33821E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
3.5313E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.3001E-6
OpenAI Moderation v1 (007)
Sexual > Minors
9.921E-7
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
0
Gunning-Fog Score
0.8
Coleman-Liau Index
12
SMOG Index
9
Automated Readability Index
7.8
Dale-Chall Readability Score
10
Sprache Readability Score
1.1
Dale-Chall Difficult Word Score
2
Sprache Difficult Word Count
2

Joe Biden

Thank you very much for a very good report.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.09861
VADER
0.687
Very Positive
Moderation
Harassment
0.0279540924
OpenAI Moderation v1 (007)
Violence > Graphic
0.0207932841
OpenAI Moderation v1 (007)
Violence
0.0158349532
OpenAI Moderation v1 (007)
Sexual
0.0025365815
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0020548605
OpenAI Moderation v1 (007)
Sexual > Minors
0.0018003357
OpenAI Moderation v1 (007)
Hate
0.0003094623
OpenAI Moderation v1 (007)
Self-Harm
0.0001490198
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0001420416
OpenAI Moderation v1 (007)
Self-Harm > Intent
8.11776E-5
OpenAI Moderation v1 (007)
Hate > Threatening
8.3705E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Weather > Report
Score:
100
Magnitude:
0.09
Code:
17003000
Url:
https://cv.iptc.org/newscodes/subjectcode/17003000
Wikidata_id:
Q11663
Wikidata_label:
weather
Source:
IPTC Subject
Topic:
Economy, Business and Finance > Financial and Business Service > Personal Finance
Score:
86
Magnitude:
0.077
Code:
4006018
Url:
https://cv.iptc.org/newscodes/subjectcode/04006018
Wikidata_id:
Q253613
Wikidata_label:
personal finance
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
3.7
Flesch-Kincaid Ease
84.9
Gunning-Fog Score
3.6
Coleman-Liau Index
6.4
SMOG Index
3.3
Automated Readability Index
0.9
Dale-Chall Readability Score
0.4
Sprache Readability Score
1.8
Dale-Chall Difficult Word Score
0
Sprache Difficult Word Count
1

Joe Biden

Warren, I am sorry you are not still here.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
-1
Very Negative
Harvard-IV (Absolute)
-1
Very Negative
Harvard-IV (Logit)
-1.09861
VADER
-0.077
Neutral
Moderation
Harassment
0.0082014754
OpenAI Moderation v1 (007)
Violence
0.0024931589
OpenAI Moderation v1 (007)
Sexual
0.0006992685
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0005079545
OpenAI Moderation v1 (007)
Hate
0.0001740991
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001702987
OpenAI Moderation v1 (007)
Violence > Graphic
0.0001684605
OpenAI Moderation v1 (007)
Hate > Threatening
3.0427E-6
OpenAI Moderation v1 (007)
Self-Harm
2.3734E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.8305E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.1173E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
2.3
Flesch-Kincaid Ease
94.3
Gunning-Fog Score
3.6
Coleman-Liau Index
5.1
SMOG Index
3.3
Automated Readability Index
0
Dale-Chall Readability Score
2.2
Sprache Readability Score
1.8
Dale-Chall Difficult Word Score
1
Sprache Difficult Word Count
1

Warren Rudman

I am not, Senator Biden.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
0
Neutral
Moderation
Harassment
0.0572407502
OpenAI Moderation v1 (007)
Sexual
0.007995584
OpenAI Moderation v1 (007)
Violence > Graphic
0.0043330318
OpenAI Moderation v1 (007)
Hate
0.0022453289
OpenAI Moderation v1 (007)
Violence
0.0019756704
OpenAI Moderation v1 (007)
Sexual > Minors
0.0019572493
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0017269278
OpenAI Moderation v1 (007)
Self-Harm
0.0005626113
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0003522976
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.74025E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.8775E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
5.2
Flesch-Kincaid Ease
66.4
Gunning-Fog Score
2
Coleman-Liau Index
5.3
SMOG Index
9
Automated Readability Index
0
Dale-Chall Readability Score
6.6
Sprache Readability Score
1.4
Dale-Chall Difficult Word Score
2
Sprache Difficult Word Count
2

Joe Biden

Well, I am, but in a sense -- and I am not attempting to be humorous; I am being very serious -- because of your stature you have been able to take on a role not just on this report, but in other activities you have engaged in which quite frankly carries with it a greater credibility than if you were one of us still here, and it much appreciated.
Sentiment
Loughran McDonald (Relative)
-0.33333
Somewhat Negative
Loughran McDonald (Absolute)
-0.33333
Somewhat Negative
Loughran McDonald (Logit)
-0.51083
Harvard-IV (Relative)
0.71429
Very Positive
Harvard-IV (Absolute)
0.71429
Very Positive
Harvard-IV (Logit)
1.46634
VADER
0.937
Very Positive
Moderation
Harassment
0.4857433494
OpenAI Moderation v1 (007)
Violence
0.0417478703
OpenAI Moderation v1 (007)
Violence > Graphic
0.0122082012
OpenAI Moderation v1 (007)
Hate
0.0107551423
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0080566599
OpenAI Moderation v1 (007)
Sexual
0.0016912412
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001910087
OpenAI Moderation v1 (007)
Self-Harm
4.98243E-5
OpenAI Moderation v1 (007)
Hate > Threatening
4.33634E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
5.0191E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.1709E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
17.1
Gunning-Fog Score
19
Coleman-Liau Index
7.5
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
6.2
Sprache Readability Score
5
Dale-Chall Difficult Word Score
12
Sprache Difficult Word Count
14

Warren Rudman

Thank you very much. I appreciate that.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.60944
VADER
0.668
Very Positive
Moderation
Sexual
0.0574327249
OpenAI Moderation v1 (007)
Harassment
0.0504356634
OpenAI Moderation v1 (007)
Hate
0.0101040489
OpenAI Moderation v1 (007)
Violence
0.0066351007
OpenAI Moderation v1 (007)
Self-Harm
0.0051180235
OpenAI Moderation v1 (007)
Sexual > Minors
0.0016504422
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0011685199
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0009768873
OpenAI Moderation v1 (007)
Violence > Graphic
0.0008375318
OpenAI Moderation v1 (007)
Self-Harm > Instructions
6.77668E-5
OpenAI Moderation v1 (007)
Hate > Threatening
2.64642E-5
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
4.3
Flesch-Kincaid Ease
70.3
Gunning-Fog Score
7.1
Coleman-Liau Index
10.2
SMOG Index
7.3
Automated Readability Index
1.2
Dale-Chall Readability Score
2.4
Sprache Readability Score
1.2
Dale-Chall Difficult Word Score
1
Sprache Difficult Word Count
1

Joe Biden

I want to thank all three of you and thank you for your good judgment in hiring Jamie Metzl. In the good old days when I was Chairman of the committee, I had enough money to have him on my staff. When we lost a third of our staff, that was what happened, but my loss has been your great gain.
Sentiment
Loughran McDonald (Relative)
-0.33333
Somewhat Negative
Loughran McDonald (Absolute)
-0.33333
Somewhat Negative
Loughran McDonald (Logit)
-0.51083
Harvard-IV (Relative)
0.2
Leans Positive
Harvard-IV (Absolute)
0.2
Leans Positive
Harvard-IV (Logit)
0.33647
VADER
0.922
Very Positive
Moderation
Harassment
0.1352932537
OpenAI Moderation v1 (007)
Violence
0.1000638353
OpenAI Moderation v1 (007)
Violence > Graphic
0.0544543494
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0061462524
OpenAI Moderation v1 (007)
Hate
0.0040101495
OpenAI Moderation v1 (007)
Sexual
0.0007598531
OpenAI Moderation v1 (007)
Sexual > Minors
2.15931E-5
OpenAI Moderation v1 (007)
Self-Harm
4.3894E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.4259E-6
OpenAI Moderation v1 (007)
Hate > Threatening
1.768E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
4.936E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Labor > Employee
Score:
100
Magnitude:
0.076
Code:
9016000
Url:
https://cv.iptc.org/newscodes/subjectcode/09016000
Wikidata_id:
Q703534
Wikidata_label:
employee
Source:
IPTC Subject
Topic:
Sport > Soccer
Score:
69
Magnitude:
0.052
Code:
15054000
Url:
https://cv.iptc.org/newscodes/subjectcode/15054000
Wikidata_id:
Q2736
Wikidata_label:
association football
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
5.9
Flesch-Kincaid Ease
89.1
Gunning-Fog Score
8.8
Coleman-Liau Index
6
SMOG Index
6.6
Automated Readability Index
6.2
Dale-Chall Readability Score
3.6
Sprache Readability Score
3.9
Dale-Chall Difficult Word Score
10
Sprache Difficult Word Count
10

Joe Biden

Gentlemen, I would like to raise a couple of points. First of all, we do have several models, not the same, but several models of how things work. We worked on this Committee for a long, long time trying to deal with law enforcement issues. We finally came up with a bill called the COPS bill, which has about a 1-percent overhead and worked pretty well, and very little loss of income.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
-0.42857
Negative
Harvard-IV (Absolute)
-0.42857
Negative
Harvard-IV (Logit)
-0.78846
VADER
0.694
Very Positive
Moderation
Violence
0.083388685
OpenAI Moderation v1 (007)
Violence > Graphic
0.0427103252
OpenAI Moderation v1 (007)
Harassment
0.0322497974
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0069072223
OpenAI Moderation v1 (007)
Hate
0.0008176648
OpenAI Moderation v1 (007)
Sexual
0.0005152146
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001905501
OpenAI Moderation v1 (007)
Self-Harm
4.10631E-5
OpenAI Moderation v1 (007)
Hate > Threatening
2.75611E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.72232E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.22515E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Crime, Law and Justice > Police
Score:
100
Magnitude:
0.242
Code:
2003000
Url:
https://cv.iptc.org/newscodes/subjectcode/02003000
Wikidata_id:
Q35535
Wikidata_label:
police
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
7
Flesch-Kincaid Ease
77.1
Gunning-Fog Score
10
Coleman-Liau Index
8.6
SMOG Index
10.8
Automated Readability Index
7.2
Dale-Chall Readability Score
3.7
Sprache Readability Score
4.3
Dale-Chall Difficult Word Score
13
Sprache Difficult Word Count
18

Joe Biden

We concluded several things bipartisanly. One, if it goes through the States, it gets screwed up, not because the States aren't competent, but because the States are just a replication of what we have here, and that is you are going to have the representative from Frankford, Delaware, who has one vote, along with a representative from the east side of Wilmington, Delaware, which has one vote, presenting the Governor with an ultimatum that if they don't each get an equal share of the money that comes through, they are going to have a problem.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
-0.25
Slightly Negative
Harvard-IV (Absolute)
-0.25
Slightly Negative
Harvard-IV (Logit)
-0.45199
VADER
-0.466
Negative
Moderation
Harassment
1.0815566406
OpenAI Moderation v1 (007)
Violence
0.0743992452
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0502654293
OpenAI Moderation v1 (007)
Hate
0.0086957487
OpenAI Moderation v1 (007)
Violence > Graphic
0.006140599
OpenAI Moderation v1 (007)
Sexual
0.0002304408
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0001621239
OpenAI Moderation v1 (007)
Sexual > Minors
6.77127E-5
OpenAI Moderation v1 (007)
Hate > Threatening
4.00589E-5
OpenAI Moderation v1 (007)
Self-Harm
3.41853E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
9.899E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Election
Score:
100
Magnitude:
0.244
Code:
11003000
Url:
https://cv.iptc.org/newscodes/subjectcode/11003000
Wikidata_id:
Q40231
Wikidata_label:
public election
Source:
IPTC Subject
Topic:
Law and Crime
Score:
98.12
Magnitude:
72
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Topic:
Politics > Election > Voting
Score:
97
Magnitude:
0.238
Code:
11003007
Url:
https://cv.iptc.org/newscodes/subjectcode/11003007
Wikidata_id:
Q189760
Wikidata_label:
voting
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
35.7
Gunning-Fog Score
19
Coleman-Liau Index
11.3
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
4.8
Sprache Readability Score
5
Dale-Chall Difficult Word Score
15
Sprache Difficult Word Count
19

Joe Biden

State legislators are going to do what we would do had we had a higher body from which we got money. They are going to make sure that they do what you suggested, Dr. Posner, that they substitute. I found when I wrote the COPS bill that one of the reasons to write it the way I did was that the money I thought we were sending back to local law enforcement was going to pay public defenders and judges.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
0.42857
Positive
Harvard-IV (Absolute)
0.42857
Positive
Harvard-IV (Logit)
0.78846
VADER
0.296
Slightly Positive
Moderation
Harassment
2.1973192692
OpenAI Moderation v1 (007)
Violence
0.1516015152
OpenAI Moderation v1 (007)
Hate
0.1464958652
OpenAI Moderation v1 (007)
Violence > Graphic
0.1079217182
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0138348245
OpenAI Moderation v1 (007)
Sexual > Minors
0.0048799018
OpenAI Moderation v1 (007)
Sexual
0.0018516308
OpenAI Moderation v1 (007)
Self-Harm
0.0007924515
OpenAI Moderation v1 (007)
Hate > Threatening
0.0001409154
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001072078
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.37708E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > State Budget and Tax
Score:
100
Magnitude:
0.216
Code:
11013000
Url:
https://cv.iptc.org/newscodes/subjectcode/11013000
Wikidata_id:
Q271855
Wikidata_label:
government budget
Source:
IPTC Subject
Topic:
Government Operations
Score:
88.881
Magnitude:
95
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Topic:
Crime, Law and Justice > Police
Score:
70
Magnitude:
0.152
Code:
2003000
Url:
https://cv.iptc.org/newscodes/subjectcode/02003000
Wikidata_id:
Q35535
Wikidata_label:
police
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
7.1
Flesch-Kincaid Ease
79.7
Gunning-Fog Score
10.5
Coleman-Liau Index
7.5
SMOG Index
9.7
Automated Readability Index
7.2
Dale-Chall Readability Score
3.2
Sprache Readability Score
4.8
Dale-Chall Difficult Word Score
11
Sprache Difficult Word Count
21

Joe Biden

The reason for that was legislators don't want to use State tax money to pay public defenders and judges; they are not popular things to do. So the Federal Government would pay with money that was designed for the cops for the State judges and the public defenders, both of whom are very important, but they were things that they didn't want to be on record as voting for. So the money wasn't going to the cops.
Sentiment
Loughran McDonald (Relative)
-0.33333
Somewhat Negative
Loughran McDonald (Absolute)
-0.33333
Somewhat Negative
Loughran McDonald (Logit)
-0.51083
Harvard-IV (Relative)
0.77778
Very Positive
Harvard-IV (Absolute)
0.77778
Very Positive
Harvard-IV (Logit)
1.7346
VADER
-0.002
Neutral
Moderation
Violence > Graphic
0.5917022936
OpenAI Moderation v1 (007)
Violence
0.3920210525
OpenAI Moderation v1 (007)
Harassment
0.2777560148
OpenAI Moderation v1 (007)
Harassment > Threatening
0.031272968
OpenAI Moderation v1 (007)
Hate
0.0174708679
OpenAI Moderation v1 (007)
Self-Harm
0.0036122739
OpenAI Moderation v1 (007)
Sexual
0.0005837841
OpenAI Moderation v1 (007)
Sexual > Minors
0.0002517263
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001412273
OpenAI Moderation v1 (007)
Hate > Threatening
5.57296E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
8.6567E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > State Budget and Tax
Score:
100
Magnitude:
0.397
Code:
11013000
Url:
https://cv.iptc.org/newscodes/subjectcode/11013000
Wikidata_id:
Q271855
Wikidata_label:
government budget
Source:
IPTC Subject
Topic:
Law and Crime
Score:
97.974
Magnitude:
80
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
10.5
Flesch-Kincaid Ease
65.4
Gunning-Fog Score
12.9
Coleman-Liau Index
9.1
SMOG Index
12
Automated Readability Index
11.3
Dale-Chall Readability Score
3.1
Sprache Readability Score
5
Dale-Chall Difficult Word Score
9
Sprache Difficult Word Count
17

Joe Biden

I have three areas I want to mention with you. What I find you at odds with yourself a little bit about generically, anyway, is this idea of giving flexibility, observing the State role and not wanting the money to be wasted, and at the same time talking about block grants. Block grants are a guarantee this money will be wasted, an absolute guarantee. I am willing to stake my political career on it. It is a guarantee that it will be wasted.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.94591
Harvard-IV (Relative)
0.16667
Leans Positive
Harvard-IV (Absolute)
0.16667
Leans Positive
Harvard-IV (Logit)
0.31015
VADER
-0.542
Very Negative
Moderation
Harassment
1.8879497424
OpenAI Moderation v1 (007)
Violence > Graphic
1.5117091127
OpenAI Moderation v1 (007)
Violence
1.0424293578
OpenAI Moderation v1 (007)
Hate
0.1725507551
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0919596176
OpenAI Moderation v1 (007)
Self-Harm
0.0407073589
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0080023492
OpenAI Moderation v1 (007)
Hate > Threatening
0.0020358932
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0009484884
OpenAI Moderation v1 (007)
Sexual
0.000101143
OpenAI Moderation v1 (007)
Sexual > Minors
1.29879E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Sport > Basketball
Score:
100
Magnitude:
0.12
Code:
15008000
Url:
https://cv.iptc.org/newscodes/subjectcode/15008000
Wikidata_id:
Q5372
Wikidata_label:
basketball
Source:
IPTC Subject
Topic:
Law and Crime
Score:
96.751
Magnitude:
77
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
8.5
Flesch-Kincaid Ease
63.6
Gunning-Fog Score
11.5
Coleman-Liau Index
9.2
SMOG Index
11.3
Automated Readability Index
6.8
Dale-Chall Readability Score
4.6
Sprache Readability Score
4.4
Dale-Chall Difficult Word Score
20
Sprache Difficult Word Count
21

Joe Biden

I agree with my Chairman. He and I are in different parties, different philosophically, but on most of this law enforcement and terrorism stuff we have been on the same page. The role of the Federal Government, it seems to me, should be doing what we do best and let the States do what they do best.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
-1
Very Negative
Harvard-IV (Absolute)
-1
Very Negative
Harvard-IV (Logit)
-2.3979
VADER
0.832
Very Positive
Moderation
Violence
0.0225043739
OpenAI Moderation v1 (007)
Violence > Graphic
0.0033234443
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0027513615
OpenAI Moderation v1 (007)
Harassment
0.0024855291
OpenAI Moderation v1 (007)
Hate
0.0003082681
OpenAI Moderation v1 (007)
Self-Harm
0.0001728892
OpenAI Moderation v1 (007)
Sexual > Minors
4.20033E-5
OpenAI Moderation v1 (007)
Sexual
4.19973E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
3.84377E-5
OpenAI Moderation v1 (007)
Hate > Threatening
2.9621E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
8.117E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Crime, Law and Justice > Police
Score:
100
Magnitude:
0.091
Code:
2003000
Url:
https://cv.iptc.org/newscodes/subjectcode/02003000
Wikidata_id:
Q35535
Wikidata_label:
police
Source:
IPTC Subject
Topic:
Government Operations
Score:
65.286
Magnitude:
83
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
8
Flesch-Kincaid Ease
71.8
Gunning-Fog Score
11.1
Coleman-Liau Index
8.6
SMOG Index
12
Automated Readability Index
7.6
Dale-Chall Readability Score
2.9
Sprache Readability Score
4
Dale-Chall Difficult Word Score
7
Sprache Difficult Word Count
13

Joe Biden

What we do best is with relation to terrorism because no State is capable of dealing with terrorism on their own, no matter how good they are, because it is international by definition, cross-jurisdictional by definition. So we should be the ones setting priorities, not the States. The States can set priorities of their own, with their own money. If they want to set priorities and they want to buy everybody a new engine, fine, they can do that.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.42857
Positive
Harvard-IV (Absolute)
0.42857
Positive
Harvard-IV (Logit)
0.78846
VADER
-0.34
Somewhat Negative
Moderation
Harassment
1.4251180924
OpenAI Moderation v1 (007)
Violence
0.0453351851
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0126862535
OpenAI Moderation v1 (007)
Hate
0.0097277603
OpenAI Moderation v1 (007)
Self-Harm
0.0009801132
OpenAI Moderation v1 (007)
Violence > Graphic
0.000901654
OpenAI Moderation v1 (007)
Sexual
0.0007291587
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0002026075
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001187404
OpenAI Moderation v1 (007)
Self-Harm > Instructions
8.99887E-5
OpenAI Moderation v1 (007)
Hate > Threatening
5.33415E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Diplomacy > International Relations
Score:
100
Magnitude:
0.138
Code:
11002002
Url:
https://cv.iptc.org/newscodes/subjectcode/11002002
Wikidata_id:
Q166542
Wikidata_label:
international relations
Source:
IPTC Subject
Topic:
Unrest, Conflicts and War > Act of Terror
Score:
96
Magnitude:
0.133
Code:
16001000
Url:
https://cv.iptc.org/newscodes/subjectcode/16001000
Wikidata_id:
Q2223653
Wikidata_label:
terrorist attack
Source:
IPTC Subject
Topic:
Law and Crime
Score:
92.55
Magnitude:
57
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Topic:
Crime, Law and Justice > Crime > Terrorism
Score:
71
Magnitude:
0.098
Code:
2001010
Url:
https://cv.iptc.org/newscodes/subjectcode/02001010
Wikidata_id:
Q7283
Wikidata_label:
terrorism
Source:
IPTC Subject
Topic:
Social Issue > Family
Score:
62
Magnitude:
0.086
Code:
14006000
Url:
https://cv.iptc.org/newscodes/subjectcode/14006000
Wikidata_id:
Q8436
Wikidata_label:
family
Source:
IPTC Subject
Topic:
Sport > Tennis
Score:
53
Magnitude:
0.073
Code:
15065000
Url:
https://cv.iptc.org/newscodes/subjectcode/15065000
Wikidata_id:
Q847
Wikidata_label:
tennis
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
10.6
Flesch-Kincaid Ease
54.3
Gunning-Fog Score
14
Coleman-Liau Index
10.5
SMOG Index
12
Automated Readability Index
9.6
Dale-Chall Readability Score
3.6
Sprache Readability Score
4.2
Dale-Chall Difficult Word Score
13
Sprache Difficult Word Count
14

Joe Biden

Out of the Department of Homeland Security, we should be saying this is the priority we have for allocating Federal monies, whatever it is. I happen to agree with Warren, or all three of you. Communications is right at the top of the list, but if we put this out in block grant money, you are going to find they are doing everything from paying for traffic lights to making sure that homeland security has a nexus to whether or not school nurses are trained in emergency preparedness, and everything in between.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.77778
Very Positive
Harvard-IV (Absolute)
0.77778
Very Positive
Harvard-IV (Logit)
1.7346
VADER
0.599
Very Positive
Moderation
Harassment
0.0277888117
OpenAI Moderation v1 (007)
Violence
0.0011830044
OpenAI Moderation v1 (007)
Hate
0.0006348999
OpenAI Moderation v1 (007)
Sexual
0.0005142986
OpenAI Moderation v1 (007)
Harassment > Threatening
0.000109092
OpenAI Moderation v1 (007)
Violence > Graphic
8.76633E-5
OpenAI Moderation v1 (007)
Sexual > Minors
4.38564E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.05582E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.52812E-5
OpenAI Moderation v1 (007)
Self-Harm
1.14066E-5
OpenAI Moderation v1 (007)
Hate > Threatening
6.5328E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Crime, Law and Justice > Justice and Rights
Score:
100
Magnitude:
0.092
Code:
2007000
Url:
https://cv.iptc.org/newscodes/subjectcode/02007000
Wikidata_id:
Q5167661
Wikidata_label:
justice
Source:
IPTC Subject
Topic:
International Affairs
Score:
83.472
Magnitude:
79
Code:
19
Url:
https://fsc.al/cap-mc#19
Source:
Comparative Agendas
Topic:
Lifestyle and Leisure > Travel and Commuting > Traffic
Score:
67
Magnitude:
0.062
Code:
10007001
Url:
https://cv.iptc.org/newscodes/subjectcode/10007001
Wikidata_id:
Q4323994
Wikidata_label:
traffic
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
46
Gunning-Fog Score
16.6
Coleman-Liau Index
10.5
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
5.3
Sprache Readability Score
5
Dale-Chall Difficult Word Score
22
Sprache Difficult Word Count
23

Warren Rudman

Senator Biden, we agree with you. We don't suggest block grants.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
0.42
Positive
Moderation
Violence
0.0086978886
OpenAI Moderation v1 (007)
Violence > Graphic
0.0052633295
OpenAI Moderation v1 (007)
Harassment
0.0028978016
OpenAI Moderation v1 (007)
Sexual
0.0017666262
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0013370628
OpenAI Moderation v1 (007)
Hate
0.0004124245
OpenAI Moderation v1 (007)
Self-Harm
0.0001976766
OpenAI Moderation v1 (007)
Sexual > Minors
9.79295E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
5.84095E-5
OpenAI Moderation v1 (007)
Hate > Threatening
6.6046E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.6777E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Parliament
Score:
100
Magnitude:
0.143
Code:
11009000
Url:
https://cv.iptc.org/newscodes/subjectcode/11009000
Wikidata_id:
Q35749
Wikidata_label:
parliament
Source:
IPTC Subject
Topic:
Defense
Score:
78.381
Magnitude:
92
Code:
16
Url:
https://fsc.al/cap-mc#16
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
3.7
Flesch-Kincaid Ease
78.2
Gunning-Fog Score
2.2
Coleman-Liau Index
10.9
SMOG Index
7.3
Automated Readability Index
2.7
Dale-Chall Readability Score
6
Sprache Readability Score
1.7
Dale-Chall Difficult Word Score
4
Sprache Difficult Word Count
5

Joe Biden

Okay. Well, I was a little confused, but I am a little confused, then, about observing the State role. I have no desire to observe the State role, zero, none, none, and not because I don't have great respect for the States. The States can do whatever they want, but the States, it seems to me, if we are providing Federal monies, should have these standards. There should be standards against which we measure what we are going to do, and let me give you an example.
Sentiment
Loughran McDonald (Relative)
-0.33333
Somewhat Negative
Loughran McDonald (Absolute)
-0.33333
Somewhat Negative
Loughran McDonald (Logit)
-0.51083
Harvard-IV (Relative)
0.4
Somewhat Positive
Harvard-IV (Absolute)
0.4
Somewhat Positive
Harvard-IV (Logit)
0.76214
VADER
-0.487
Negative
Moderation
Harassment
0.0150702865
OpenAI Moderation v1 (007)
Violence > Graphic
0.0109729772
OpenAI Moderation v1 (007)
Violence
0.0028369512
OpenAI Moderation v1 (007)
Hate
0.0005576122
OpenAI Moderation v1 (007)
Sexual
0.0005013004
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0003876917
OpenAI Moderation v1 (007)
Self-Harm
3.22126E-5
OpenAI Moderation v1 (007)
Sexual > Minors
1.73547E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
6.0814E-6
OpenAI Moderation v1 (007)
Hate > Threatening
1.2697E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
5.84E-8
OpenAI Moderation v1 (007)
Topics
Topic:
Macroeconomics
Score:
70.651
Magnitude:
11
Code:
1
Url:
https://fsc.al/cap-mc#1
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
6.8
Flesch-Kincaid Ease
77.3
Gunning-Fog Score
9.7
Coleman-Liau Index
8.6
SMOG Index
10
Automated Readability Index
6.8
Dale-Chall Readability Score
3.8
Sprache Readability Score
4.2
Dale-Chall Difficult Word Score
16
Sprache Difficult Word Count
17

Joe Biden

In the COPS bill, we made a Federal judgment -- and you voted for it, Warren; you are one of the few who did on your side.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
0
Neutral
Moderation
Violence
0.0951783091
OpenAI Moderation v1 (007)
Harassment
0.0832244754
OpenAI Moderation v1 (007)
Sexual
0.0539654226
OpenAI Moderation v1 (007)
Violence > Graphic
0.0099789286
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0080487967
OpenAI Moderation v1 (007)
Hate
0.0079761419
OpenAI Moderation v1 (007)
Sexual > Minors
0.0032921111
OpenAI Moderation v1 (007)
Hate > Threatening
0.0005564567
OpenAI Moderation v1 (007)
Self-Harm
0.0002425103
OpenAI Moderation v1 (007)
Self-Harm > Intent
9.08611E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
8.3254E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Government Operations
Score:
61.763
Magnitude:
87
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Topic:
International Affairs
Score:
22.744
Magnitude:
87
Code:
19
Url:
https://fsc.al/cap-mc#19
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
8.6
Flesch-Kincaid Ease
79.6
Gunning-Fog Score
10.4
Coleman-Liau Index
4.6
SMOG Index
9
Automated Readability Index
7.9
Dale-Chall Readability Score
4.3
Sprache Readability Score
4.3
Dale-Chall Difficult Word Score
5
Sprache Difficult Word Count
6

Warren Rudman

I certainly was.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
0.34
Somewhat Positive
Moderation
Violence
0.0064320157
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0042785967
OpenAI Moderation v1 (007)
Violence > Graphic
0.002642174
OpenAI Moderation v1 (007)
Harassment
0.0008614829
OpenAI Moderation v1 (007)
Sexual
0.0004005962
OpenAI Moderation v1 (007)
Hate
0.000139916
OpenAI Moderation v1 (007)
Sexual > Minors
8.79304E-5
OpenAI Moderation v1 (007)
Self-Harm
6.34561E-5
OpenAI Moderation v1 (007)
Hate > Threatening
4.04735E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.06989E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
5.2719E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
5.2
Flesch-Kincaid Ease
62.8
Gunning-Fog Score
14.5
Coleman-Liau Index
9.6
SMOG Index
9
Automated Readability Index
0.5
Dale-Chall Readability Score
0.1
Sprache Readability Score
1.1
Dale-Chall Difficult Word Score
0
Sprache Difficult Word Count
1

Joe Biden

Here is what the Federal judgment was, that community policing was the sine qua non for dealing with law enforcement locally, and in order to get any Federal money, your entire department had to be engaged in community policing, a conceptual difference from the way all police departments were functioning up to then.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.25
Slightly Positive
Harvard-IV (Absolute)
0.25
Slightly Positive
Harvard-IV (Logit)
0.45199
VADER
0.402
Positive
Moderation
Harassment
0.0179241819
OpenAI Moderation v1 (007)
Violence
0.0177438473
OpenAI Moderation v1 (007)
Hate
0.0053733052
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0026825912
OpenAI Moderation v1 (007)
Violence > Graphic
0.0004254286
OpenAI Moderation v1 (007)
Self-Harm
5.09032E-5
OpenAI Moderation v1 (007)
Hate > Threatening
2.30797E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.05191E-5
OpenAI Moderation v1 (007)
Sexual
1.52775E-5
OpenAI Moderation v1 (007)
Sexual > Minors
2.0715E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.6081E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Crime, Law and Justice > Police
Score:
100
Magnitude:
0.138
Code:
2003000
Url:
https://cv.iptc.org/newscodes/subjectcode/02003000
Wikidata_id:
Q35535
Wikidata_label:
police
Source:
IPTC Subject
Topic:
Crime, Law and Justice > Justice and Rights
Score:
52
Magnitude:
0.072
Code:
2007000
Url:
https://cv.iptc.org/newscodes/subjectcode/02007000
Wikidata_id:
Q5167661
Wikidata_label:
justice
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
6.2
Gunning-Fog Score
19
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
8.6
Sprache Readability Score
5
Dale-Chall Difficult Word Score
20
Sprache Difficult Word Count
18

Joe Biden

So we leveraged 100,000 cops into 675,000 community police. There had been about 40,000 nationwide before. It was that the 100,000 cops became community police. If you wanted to get any money for your department, you had to do two things: one, make sure, if you were authorized for 100 cops now, you did not get a single penny for cops unless it was for your 101st cop.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.33333
Somewhat Positive
Harvard-IV (Absolute)
0.33333
Somewhat Positive
Harvard-IV (Logit)
0.58779
VADER
0.318
Somewhat Positive
Moderation
Harassment
10.0273661315
OpenAI Moderation v1 (007)
Violence
7.124401629
OpenAI Moderation v1 (007)
Hate
0.6452475674
OpenAI Moderation v1 (007)
Harassment > Threatening
0.5842369981
OpenAI Moderation v1 (007)
Self-Harm
0.0240188572
OpenAI Moderation v1 (007)
Violence > Graphic
0.0128315049
OpenAI Moderation v1 (007)
Hate > Threatening
0.0065358974
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0007347703
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0006847014
OpenAI Moderation v1 (007)
Sexual
0.0002090522
OpenAI Moderation v1 (007)
Sexual > Minors
7.46132E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Law and Crime
Score:
98.223
Magnitude:
53
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
6
Flesch-Kincaid Ease
84
Gunning-Fog Score
10.5
Coleman-Liau Index
5.5
SMOG Index
10.3
Automated Readability Index
4.6
Dale-Chall Readability Score
4.4
Sprache Readability Score
3.7
Dale-Chall Difficult Word Score
16
Sprache Difficult Word Count
11

Joe Biden

Secondly, if you got money for your 101st cop, all 100 below it had to be moved into community policing, because that is what all the national survey data and the criminologists suggested, that that is the best way to deal with crime. And guess what? It worked. It is not the only reason it worked, but it worked.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
0.33333
Somewhat Positive
Harvard-IV (Absolute)
0.33333
Somewhat Positive
Harvard-IV (Logit)
0.51083
VADER
0.09
Neutral
Moderation
Sexual
0.0077107419
OpenAI Moderation v1 (007)
Harassment
0.0064057072
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0053029391
OpenAI Moderation v1 (007)
Violence
0.0045951514
OpenAI Moderation v1 (007)
Violence > Graphic
0.0037739203
OpenAI Moderation v1 (007)
Self-Harm
0.0008858453
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.000483521
OpenAI Moderation v1 (007)
Sexual > Minors
0.0003110585
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0002343194
OpenAI Moderation v1 (007)
Hate
0.0001523402
OpenAI Moderation v1 (007)
Hate > Threatening
3.03418E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Law and Crime
Score:
97.131
Magnitude:
63
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
6.4
Flesch-Kincaid Ease
75.7
Gunning-Fog Score
9.3
Coleman-Liau Index
8.1
SMOG Index
10.3
Automated Readability Index
5.1
Dale-Chall Readability Score
5
Sprache Readability Score
3.8
Dale-Chall Difficult Word Score
16
Sprache Difficult Word Count
17

Joe Biden

So what I am trying to get at here is it is much more complicated dealing with homeland security than just cops. I am not suggesting that is not true. What I am suggesting, though, is the identification of the vulnerabilities that are beyond the capacity of the States to deal with are ones which -- and what has happened out there is the average American thinks the 106 or 108 nuclear power plants in America are secure. Not a damn one of them is secure.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.60944
Harvard-IV (Relative)
-0.14286
Leans Negative
Harvard-IV (Absolute)
-0.14286
Leans Negative
Harvard-IV (Logit)
-0.25131
VADER
0.678
Very Positive
Moderation
Violence
0.0036253739
OpenAI Moderation v1 (007)
Violence > Graphic
0.0009893794
OpenAI Moderation v1 (007)
Harassment
0.0007516498
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0003824616
OpenAI Moderation v1 (007)
Sexual
0.0002043884
OpenAI Moderation v1 (007)
Sexual > Minors
6.87866E-5
OpenAI Moderation v1 (007)
Hate
3.44456E-5
OpenAI Moderation v1 (007)
Self-Harm
8.15E-7
OpenAI Moderation v1 (007)
Self-Harm > Intent
5.698E-7
OpenAI Moderation v1 (007)
Hate > Threatening
2.97E-7
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.284E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Nuclear Policy
Score:
100
Magnitude:
0.143
Code:
11020000
Url:
https://cv.iptc.org/newscodes/subjectcode/11020000
Wikidata_id:
Q757637
Wikidata_label:
nuclear policy
Source:
IPTC Subject
Topic:
Law and Crime
Score:
98.273
Magnitude:
58
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
9.8
Flesch-Kincaid Ease
62.8
Gunning-Fog Score
12.7
Coleman-Liau Index
8.9
SMOG Index
12
Automated Readability Index
8.9
Dale-Chall Readability Score
4.8
Sprache Readability Score
5
Dale-Chall Difficult Word Score
20
Sprache Difficult Word Count
21

Joe Biden

You mentioned my State. You can take off from Philadelphia, Pennsylvania, in an aircraft and before you get to 15,000 feet you can nose-dive into one of the largest nuclear power plants in America that is one of the most poorly-run in America, and nothing has been done to secure that plant in any way, any way at all, zero.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
-0.33333
Somewhat Negative
Harvard-IV (Absolute)
-0.33333
Somewhat Negative
Harvard-IV (Logit)
-0.51083
VADER
0.34
Somewhat Positive
Moderation
Harassment
0.0178142509
OpenAI Moderation v1 (007)
Sexual
0.011080542
OpenAI Moderation v1 (007)
Violence > Graphic
0.0104039274
OpenAI Moderation v1 (007)
Harassment > Threatening
0.005469704
OpenAI Moderation v1 (007)
Violence
0.0023042607
OpenAI Moderation v1 (007)
Hate
0.0014831945
OpenAI Moderation v1 (007)
Sexual > Minors
0.0004728927
OpenAI Moderation v1 (007)
Self-Harm
0.0003935285
OpenAI Moderation v1 (007)
Self-Harm > Instructions
9.20146E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
8.42568E-5
OpenAI Moderation v1 (007)
Hate > Threatening
5.14573E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Nuclear Policy
Score:
100
Magnitude:
0.095
Code:
11020000
Url:
https://cv.iptc.org/newscodes/subjectcode/11020000
Wikidata_id:
Q757637
Wikidata_label:
nuclear policy
Source:
IPTC Subject
Topic:
Defense
Score:
85.034
Magnitude:
84
Code:
16
Url:
https://fsc.al/cap-mc#16
Source:
Comparative Agendas
Topic:
Human Interest > Plant
Score:
64
Magnitude:
0.06
Code:
8008000
Url:
https://cv.iptc.org/newscodes/subjectcode/08008000
Wikidata_id:
Q756
Wikidata_label:
plant
Source:
IPTC Subject
Topic:
Disaster and Accident > Nuclear Accident
Score:
57
Magnitude:
0.054
Code:
3008000
Url:
https://cv.iptc.org/newscodes/subjectcode/03008000
Wikidata_id:
Q1620824
Wikidata_label:
nuclear accident
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
56.7
Gunning-Fog Score
12.6
Coleman-Liau Index
7.6
SMOG Index
11.3
Automated Readability Index
12
Dale-Chall Readability Score
4.3
Sprache Readability Score
5
Dale-Chall Difficult Word Score
11
Sprache Difficult Word Count
13

Joe Biden

You can get on this Amtrak train, and I know I am a broken record on Amtrak, and you go through a tunnel in Baltimore that was built in 1869, no lighting, no ventilation, no way out, no escape, no prospect of survival, none. They had a conventional fire in that tunnel and it closed down Baltimore -- not the tunnel -- it closed down Baltimore for a day-and-a-half, a conventional fire.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.94591
Harvard-IV (Relative)
-0.14286
Leans Negative
Harvard-IV (Absolute)
-0.14286
Leans Negative
Harvard-IV (Logit)
-0.25131
VADER
-0.919
Very Negative
Moderation
Harassment
0.5251592025
OpenAI Moderation v1 (007)
Violence
0.0258198357
OpenAI Moderation v1 (007)
Hate
0.0157189206
OpenAI Moderation v1 (007)
Violence > Graphic
0.0068030349
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0066758781
OpenAI Moderation v1 (007)
Sexual
0.0002017668
OpenAI Moderation v1 (007)
Sexual > Minors
6.29789E-5
OpenAI Moderation v1 (007)
Self-Harm
3.33679E-5
OpenAI Moderation v1 (007)
Hate > Threatening
2.86706E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.06335E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
8.3683E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Disaster and Accident > Fire
Score:
100
Magnitude:
0.085
Code:
3004000
Url:
https://cv.iptc.org/newscodes/subjectcode/03004000
Wikidata_id:
Q3196
Wikidata_label:
fire
Source:
IPTC Subject
Topic:
Energy
Score:
96.019
Magnitude:
59
Code:
8
Url:
https://fsc.al/cap-mc#8
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
50.4
Gunning-Fog Score
16.8
Coleman-Liau Index
7.8
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
4.6
Sprache Readability Score
5
Dale-Chall Difficult Word Score
13
Sprache Difficult Word Count
12

Joe Biden

So I don't know why the Chairman's suggestion isn't a good one that we federally -- not the Congress; we shouldn't be doing this. We should be signing off on it; that the administration identify what are those vulnerabilities. We can parse it any way at all. We can say we want to make sure that every nuclear power plant is secure, or we want to make sure that every major chemical plant, or we want to make sure that every bridge or tunnel, whatever it is.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
2.3979
VADER
0.793
Very Positive
Moderation
Violence
0.3519146703
OpenAI Moderation v1 (007)
Harassment
0.1903956872
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0234885098
OpenAI Moderation v1 (007)
Hate
0.0121219768
OpenAI Moderation v1 (007)
Violence > Graphic
0.0029723185
OpenAI Moderation v1 (007)
Hate > Threatening
0.0002154432
OpenAI Moderation v1 (007)
Sexual > Minors
7.55097E-5
OpenAI Moderation v1 (007)
Sexual
2.38603E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
4.6669E-6
OpenAI Moderation v1 (007)
Self-Harm
9.097E-7
OpenAI Moderation v1 (007)
Self-Harm > Instructions
6.975E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Nuclear Policy
Score:
100
Magnitude:
0.126
Code:
11020000
Url:
https://cv.iptc.org/newscodes/subjectcode/11020000
Wikidata_id:
Q757637
Wikidata_label:
nuclear policy
Source:
IPTC Subject
Topic:
Transportation
Score:
87.159
Magnitude:
71
Code:
10
Url:
https://fsc.al/cap-mc#10
Source:
Comparative Agendas
Topic:
Human Interest > Plant
Score:
55
Magnitude:
0.069
Code:
8008000
Url:
https://cv.iptc.org/newscodes/subjectcode/08008000
Wikidata_id:
Q756
Wikidata_label:
plant
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
9.7
Flesch-Kincaid Ease
64
Gunning-Fog Score
13.3
Coleman-Liau Index
8.6
SMOG Index
12
Automated Readability Index
8.9
Dale-Chall Readability Score
3.6
Sprache Readability Score
4.8
Dale-Chall Difficult Word Score
14
Sprache Difficult Word Count
19

Joe Biden

Secondly, it seems to me that we ought to be able to say, which is the part that absolutely blows me away -- whether you are right about your number exactly, the one thing I am absolutely right about is you are a hell of a lot closer to what the number is than what we are saying it is for homeland security.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.5
Positive
Harvard-IV (Absolute)
0.5
Positive
Harvard-IV (Logit)
0.8473
VADER
-0.382
Somewhat Negative
Moderation
Harassment
0.0360641599
OpenAI Moderation v1 (007)
Violence
0.0073966192
OpenAI Moderation v1 (007)
Violence > Graphic
0.0064260501
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0022473896
OpenAI Moderation v1 (007)
Sexual
0.0008268527
OpenAI Moderation v1 (007)
Hate
0.0007841198
OpenAI Moderation v1 (007)
Sexual > Minors
3.75431E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.4926E-5
OpenAI Moderation v1 (007)
Self-Harm
2.3541E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.48978E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.8541E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Crime, Law and Justice > Justice and Rights
Score:
100
Magnitude:
0.141
Code:
2007000
Url:
https://cv.iptc.org/newscodes/subjectcode/02007000
Wikidata_id:
Q5167661
Wikidata_label:
justice
Source:
IPTC Subject
Topic:
Energy
Score:
92.876
Magnitude:
87
Code:
8
Url:
https://fsc.al/cap-mc#8
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
26.6
Gunning-Fog Score
19
Coleman-Liau Index
7
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
5.4
Sprache Readability Score
5
Dale-Chall Difficult Word Score
9
Sprache Difficult Word Count
10

Warren Rudman

I think that is probably true, Senator Biden.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
0.422
Positive
Moderation
Violence
0.074722612
OpenAI Moderation v1 (007)
Violence > Graphic
0.0259905297
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0236869804
OpenAI Moderation v1 (007)
Harassment
0.0167817139
OpenAI Moderation v1 (007)
Hate
0.0021449365
OpenAI Moderation v1 (007)
Self-Harm
0.0018967627
OpenAI Moderation v1 (007)
Hate > Threatening
0.001033072
OpenAI Moderation v1 (007)
Sexual
0.0002046429
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001464754
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.35888E-5
OpenAI Moderation v1 (007)
Sexual > Minors
6.5983E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Parliament
Score:
100
Magnitude:
0.115
Code:
11009000
Url:
https://cv.iptc.org/newscodes/subjectcode/11009000
Wikidata_id:
Q35749
Wikidata_label:
parliament
Source:
IPTC Subject
Topic:
Defense
Score:
89.362
Magnitude:
63
Code:
16
Url:
https://fsc.al/cap-mc#16
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
6.7
Flesch-Kincaid Ease
61.2
Gunning-Fog Score
8.2
Coleman-Liau Index
10.7
SMOG Index
11.3
Automated Readability Index
3.8
Dale-Chall Readability Score
6.3
Sprache Readability Score
1.8
Dale-Chall Difficult Word Score
3
Sprache Difficult Word Count
2

Joe Biden

I mean, it is not even close, and we have done other programs where urban and rural have not had a problem in dissemination of this funding. Let's talk about first responders. If you let the department make its application against a standard for which they have to make the case to a reputable -- and it is reputable -- to a governmental agency here in Washington that says this meets the standard, this doesn't meet the standard -- and this is a question and I would like to ask if you considered this. It is not necessarily within your brief here.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.60944
Harvard-IV (Relative)
0.5
Positive
Harvard-IV (Absolute)
0.5
Positive
Harvard-IV (Logit)
1.02165
VADER
0.459
Positive
Moderation
Violence
0.0135994051
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0019587094
OpenAI Moderation v1 (007)
Violence > Graphic
0.0005007628
OpenAI Moderation v1 (007)
Harassment
0.000429169
OpenAI Moderation v1 (007)
Sexual
0.0002544959
OpenAI Moderation v1 (007)
Hate
0.0001022169
OpenAI Moderation v1 (007)
Sexual > Minors
6.27229E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
4.55212E-5
OpenAI Moderation v1 (007)
Hate > Threatening
4.34489E-5
OpenAI Moderation v1 (007)
Self-Harm
3.95173E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.60009E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance > Computing and Information Technology > Software
Score:
100
Magnitude:
0.068
Code:
4003005
Url:
https://cv.iptc.org/newscodes/subjectcode/04003005
Wikidata_id:
Q7397
Wikidata_label:
software
Source:
IPTC Subject
Topic:
Politics
Score:
75
Magnitude:
0.051
Code:
11000000
Url:
https://cv.iptc.org/newscodes/subjectcode/11000000
Wikidata_id:
Q7163
Wikidata_label:
politics
Source:
IPTC Subject
Topic:
Human Interest > Curiosity
Score:
74
Magnitude:
0.051
Code:
8002000
Url:
https://cv.iptc.org/newscodes/subjectcode/08002000
Wikidata_id:
Q361306
Wikidata_label:
human interest story
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
11.1
Flesch-Kincaid Ease
59.5
Gunning-Fog Score
13.9
Coleman-Liau Index
9.9
SMOG Index
12
Automated Readability Index
11.5
Dale-Chall Readability Score
4.6
Sprache Readability Score
5
Dale-Chall Difficult Word Score
21
Sprache Difficult Word Count
19

Joe Biden

But one of the ways -- and I know you remember, Warren -- that we get States to sort of focus in on this stuff more tightly is when, in fact, the States have to kick something in as part of it; in other words, if the State has to come up with 10 percent, or 15 or 20 or 5 percent of the funding for those things which affect -- I mean, the Senator from New York just walked in. Every time we go on orange alert, there is no Federal cop that is guarding the Brooklyn Bridge or the Lincoln Tunnel and the cost to the City of New York goes out through the roof for all of this.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
0
Neutral
Moderation
Harassment
0.0147073719
OpenAI Moderation v1 (007)
Violence
0.0031979736
OpenAI Moderation v1 (007)
Violence > Graphic
0.0015543126
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0011754126
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0011639967
OpenAI Moderation v1 (007)
Hate
0.0010914408
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0007382464
OpenAI Moderation v1 (007)
Self-Harm
0.0004277756
OpenAI Moderation v1 (007)
Sexual
5.27883E-5
OpenAI Moderation v1 (007)
Hate > Threatening
3.41213E-5
OpenAI Moderation v1 (007)
Sexual > Minors
7.6418E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Weather > Warning
Score:
100
Magnitude:
0.066
Code:
17005000
Url:
https://cv.iptc.org/newscodes/subjectcode/17005000
Wikidata_id:
Q2507750
Wikidata_label:
weather warning
Source:
IPTC Subject
Topic:
Politics > Parliament
Score:
76
Magnitude:
0.05
Code:
11009000
Url:
https://cv.iptc.org/newscodes/subjectcode/11009000
Wikidata_id:
Q35749
Wikidata_label:
parliament
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
46.6
Gunning-Fog Score
19
Coleman-Liau Index
5.7
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
5.2
Sprache Readability Score
5
Dale-Chall Difficult Word Score
17
Sprache Difficult Word Count
20

Chuck Schumer

Five shifts, seven hours, two at each end, twenty just for that.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
0
Neutral
Moderation
Harassment
0.2978038043
OpenAI Moderation v1 (007)
Violence > Graphic
0.0276890816
OpenAI Moderation v1 (007)
Hate
0.0090988491
OpenAI Moderation v1 (007)
Violence
0.006101112
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0023311861
OpenAI Moderation v1 (007)
Sexual
0.0009397128
OpenAI Moderation v1 (007)
Sexual > Minors
0.000374979
OpenAI Moderation v1 (007)
Self-Harm
0.0002304437
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001014061
OpenAI Moderation v1 (007)
Self-Harm > Instructions
8.34748E-5
OpenAI Moderation v1 (007)
Hate > Threatening
5.62247E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Government Operations
Score:
50.148
Magnitude:
117
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Topic:
Law and Crime
Score:
36.141
Magnitude:
117
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
2.9
Flesch-Kincaid Ease
96
Gunning-Fog Score
4.8
Coleman-Liau Index
8.2
SMOG Index
3.3
Automated Readability Index
3.8
Dale-Chall Readability Score
1.9
Sprache Readability Score
2.3
Dale-Chall Difficult Word Score
1
Sprache Difficult Word Count
2

Joe Biden

So I guess what I am trying to say is that there may be a way that we can follow the Chairman's lead here. I would like to see something come through here, not directing the States but directing the Federal Government to set down the priorities and the standards by which funding would be made available.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.09861
Harvard-IV (Relative)
0.66667
Very Positive
Harvard-IV (Absolute)
0.66667
Very Positive
Harvard-IV (Logit)
1.29928
VADER
0.19
Leans Positive
Moderation
Violence
0.000846142
OpenAI Moderation v1 (007)
Sexual
0.0008427918
OpenAI Moderation v1 (007)
Harassment
0.0007579503
OpenAI Moderation v1 (007)
Violence > Graphic
0.000501661
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0003356948
OpenAI Moderation v1 (007)
Sexual > Minors
6.00975E-5
OpenAI Moderation v1 (007)
Hate
5.55952E-5
OpenAI Moderation v1 (007)
Self-Harm
3.08234E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.94143E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
8.0452E-6
OpenAI Moderation v1 (007)
Hate > Threatening
2.7693E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Government
Score:
100
Magnitude:
0.109
Code:
11006000
Url:
https://cv.iptc.org/newscodes/subjectcode/11006000
Wikidata_id:
Q7188
Wikidata_label:
government
Source:
IPTC Subject
Topic:
Labor
Score:
56.638
Magnitude:
12
Code:
5
Url:
https://fsc.al/cap-mc#5
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
11.5
Flesch-Kincaid Ease
63.6
Gunning-Fog Score
14.9
Coleman-Liau Index
9.4
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
4.2
Sprache Readability Score
5
Dale-Chall Difficult Word Score
10
Sprache Difficult Word Count
12

Joe Biden

The first thing is, as you said, Mr. Clarke, the threat assessment. That is what they do over there in the military. Everything flows from the threat assessment, and I would be interested in you working with us to help us out here, but the threat assessment is a little bit different in this sense, not giving a threat assessment from an intelligence perspective merely as to whether or not there is Al-Qaeda or any other organization out there that has a particular target, but a threat assessment based on vulnerability.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-2.56495
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
-0.825
Very Negative
Moderation
Violence > Graphic
0.0168277358
OpenAI Moderation v1 (007)
Violence
0.0056859473
OpenAI Moderation v1 (007)
Sexual
0.0007989059
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0001623753
OpenAI Moderation v1 (007)
Harassment
0.0001416398
OpenAI Moderation v1 (007)
Hate
9.21188E-5
OpenAI Moderation v1 (007)
Sexual > Minors
1.82601E-5
OpenAI Moderation v1 (007)
Self-Harm
1.69793E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
8.7296E-6
OpenAI Moderation v1 (007)
Hate > Threatening
1.9525E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.8591E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Unrest, Conflicts and War > Act of Terror
Score:
100
Magnitude:
0.156
Code:
16001000
Url:
https://cv.iptc.org/newscodes/subjectcode/16001000
Wikidata_id:
Q2223653
Wikidata_label:
terrorist attack
Source:
IPTC Subject
Topic:
Politics > Defense
Score:
57
Magnitude:
0.089
Code:
11001000
Url:
https://cv.iptc.org/newscodes/subjectcode/11001000
Wikidata_id:
Q17991228
Wikidata_label:
national defence
Source:
IPTC Subject
Topic:
Macroeconomics
Score:
50.33
Magnitude:
57
Code:
1
Url:
https://fsc.al/cap-mc#1
Source:
Comparative Agendas
Topic:
Government Operations
Score:
34.253
Magnitude:
57
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
11.7
Flesch-Kincaid Ease
52
Gunning-Fog Score
15.3
Coleman-Liau Index
11.1
SMOG Index
12
Automated Readability Index
11.6
Dale-Chall Readability Score
5.8
Sprache Readability Score
5
Dale-Chall Difficult Word Score
27
Sprache Difficult Word Count
21

Joe Biden

Vulnerability seems to me to be the place that we could probably agree on that which is most vulnerable and which are not the most likely targets, not based on intelligence, but based on common sense. You don't have to be a rocket scientist to figure out, if you want to take out a lot of people and you want to get involved with anthrax, sarin gas, some other chemical, or a dirty bomb, a good place is a place in the six tunnels under New York City where, every moment during a 12- hour day, you have as many people sitting in a train car as you have in 5 full 747 jets. If you want to get something done, that is a good place, that is a good place. By the way, I will get letters saying don't tell the terrorists. The terrorists know this stuff; they know this stuff.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.60944
Harvard-IV (Relative)
0.2
Leans Positive
Harvard-IV (Absolute)
0.2
Leans Positive
Harvard-IV (Logit)
0.37949
VADER
-0.033
Neutral
Moderation
Harassment
0.0252393103
OpenAI Moderation v1 (007)
Violence
0.0097498079
OpenAI Moderation v1 (007)
Violence > Graphic
0.009560326
OpenAI Moderation v1 (007)
Sexual
0.0020868789
OpenAI Moderation v1 (007)
Hate
0.001706096
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0006779601
OpenAI Moderation v1 (007)
Sexual > Minors
0.0004484597
OpenAI Moderation v1 (007)
Self-Harm
0.0002154504
OpenAI Moderation v1 (007)
Self-Harm > Intent
4.77232E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.31072E-5
OpenAI Moderation v1 (007)
Hate > Threatening
6.729E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Unrest, Conflicts and War > Act of Terror
Score:
100
Magnitude:
0.155
Code:
16001000
Url:
https://cv.iptc.org/newscodes/subjectcode/16001000
Wikidata_id:
Q2223653
Wikidata_label:
terrorist attack
Source:
IPTC Subject
Topic:
Defense
Score:
80.877
Magnitude:
91
Code:
16
Url:
https://fsc.al/cap-mc#16
Source:
Comparative Agendas
Topic:
Unrest, Conflicts and War
Score:
77
Magnitude:
0.119
Code:
16000000
Url:
https://cv.iptc.org/newscodes/subjectcode/16000000
Wikidata_id:
Q198
Wikidata_label:
war
Source:
IPTC Subject
Topic:
Unrest, Conflicts and War > Weaponry
Score:
63
Magnitude:
0.097
Code:
16012000
Url:
https://cv.iptc.org/newscodes/subjectcode/16012000
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
11.6
Flesch-Kincaid Ease
65.8
Gunning-Fog Score
14.3
Coleman-Liau Index
7.1
SMOG Index
10.9
Automated Readability Index
12
Dale-Chall Readability Score
3.5
Sprache Readability Score
5
Dale-Chall Difficult Word Score
19
Sprache Difficult Word Count
24

Joe Biden

So, anyway, I think it is a first-rate report. I would like to hear much more from you, Mr. Clarke, on sort of the methodology, along with Dr. Posner, about how you come up with a formula. But I am glad to hear the block grant route isn't the place you are pushing.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.2
Leans Positive
Harvard-IV (Absolute)
0.2
Leans Positive
Harvard-IV (Logit)
0.33647
VADER
0.625
Very Positive
Moderation
Sexual
0.013479995
OpenAI Moderation v1 (007)
Violence
0.0039815401
OpenAI Moderation v1 (007)
Harassment
0.0023082217
OpenAI Moderation v1 (007)
Violence > Graphic
0.0019181729
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0007011697
OpenAI Moderation v1 (007)
Self-Harm
0.0003766162
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001865087
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001494214
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.29587E-5
OpenAI Moderation v1 (007)
Hate
2.26353E-5
OpenAI Moderation v1 (007)
Hate > Threatening
4.0093E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Sport > Motor Racing > Formula One
Score:
100
Magnitude:
0.075
Code:
15039001
Url:
https://cv.iptc.org/newscodes/subjectcode/15039001
Wikidata_id:
Q1968
Wikidata_label:
Formula One
Source:
IPTC Subject
Topic:
Defense
Score:
81.045
Magnitude:
150
Code:
16
Url:
https://fsc.al/cap-mc#16
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
3.5
Flesch-Kincaid Ease
89.3
Gunning-Fog Score
6.5
Coleman-Liau Index
6
SMOG Index
7.7
Automated Readability Index
1.4
Dale-Chall Readability Score
2.9
Sprache Readability Score
3.1
Dale-Chall Difficult Word Score
8
Sprache Difficult Word Count
14

Warren Rudman

Before they answer, I just want to tell Senator Biden that we certainly do not disagree with your view about block grants. Number two, we think that many of these grants ought to go directly to localities. Number three, I have always believed in matching funds because then you have some stake in it.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
-1
Very Negative
Harvard-IV (Absolute)
-1
Very Negative
Harvard-IV (Logit)
-1.09861
VADER
0.567
Very Positive
Moderation
Sexual
0.0212817933
OpenAI Moderation v1 (007)
Violence
0.0012596059
OpenAI Moderation v1 (007)
Violence > Graphic
0.0012187317
OpenAI Moderation v1 (007)
Harassment
0.0009747283
OpenAI Moderation v1 (007)
Self-Harm
0.0002446243
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0002044296
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0002028083
OpenAI Moderation v1 (007)
Self-Harm > Instructions
9.59721E-5
OpenAI Moderation v1 (007)
Sexual > Minors
4.69152E-5
OpenAI Moderation v1 (007)
Hate
1.23829E-5
OpenAI Moderation v1 (007)
Hate > Threatening
2.212E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Parliament
Score:
100
Magnitude:
0.075
Code:
11009000
Url:
https://cv.iptc.org/newscodes/subjectcode/11009000
Wikidata_id:
Q35749
Wikidata_label:
parliament
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
8
Flesch-Kincaid Ease
69.5
Gunning-Fog Score
10.2
Coleman-Liau Index
10.5
SMOG Index
10.6
Automated Readability Index
8.6
Dale-Chall Readability Score
4.1
Sprache Readability Score
3.9
Dale-Chall Difficult Word Score
11
Sprache Difficult Word Count
13

Warren Rudman

Finally, the whole process we talk about here is threat assessment, however you want to do that, a setting of national standards and then meeting those standards. But I would defer to Dick Clarke and Dr. Posner on the other issues.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.60944
Harvard-IV (Relative)
0.6
Very Positive
Harvard-IV (Absolute)
0.6
Very Positive
Harvard-IV (Logit)
1.09861
VADER
-0.823
Very Negative
Moderation
Harassment
0.0083029408
OpenAI Moderation v1 (007)
Violence > Graphic
0.0042541978
OpenAI Moderation v1 (007)
Violence
0.0030545718
OpenAI Moderation v1 (007)
Sexual
0.001112304
OpenAI Moderation v1 (007)
Hate
0.0003352699
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0001490154
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001060751
OpenAI Moderation v1 (007)
Self-Harm
1.54975E-5
OpenAI Moderation v1 (007)
Hate > Threatening
8.1007E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
7.0678E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.8583E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Macroeconomics
Score:
47.965
Magnitude:
54
Code:
1
Url:
https://fsc.al/cap-mc#1
Source:
Comparative Agendas
Topic:
Government Operations
Score:
26.667
Magnitude:
54
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
7
Flesch-Kincaid Ease
69.2
Gunning-Fog Score
8.4
Coleman-Liau Index
10.8
SMOG Index
9.9
Automated Readability Index
6.7
Dale-Chall Readability Score
5.3
Sprache Readability Score
3.5
Dale-Chall Difficult Word Score
12
Sprache Difficult Word Count
15

Richard Clarke

Senator Biden, I completely agree that when I say a threat assessment, that is shorthand for threat and vulnerability assessment. We can't determine grants based on FBI reports about is there an Al-Qaeda cell or not, especially since I don't think the FBI has a clue, frankly, where the Al- Qaeda cells are.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.94591
Harvard-IV (Relative)
-0.33333
Somewhat Negative
Harvard-IV (Absolute)
-0.33333
Somewhat Negative
Harvard-IV (Logit)
-0.51083
VADER
-0.735
Very Negative
Moderation
Hate
0.0195723216
OpenAI Moderation v1 (007)
Violence
0.0099366545
OpenAI Moderation v1 (007)
Harassment
0.009265064
OpenAI Moderation v1 (007)
Violence > Graphic
0.0036424761
OpenAI Moderation v1 (007)
Sexual
0.0028760962
OpenAI Moderation v1 (007)
Sexual > Minors
0.0008630824
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0001623676
OpenAI Moderation v1 (007)
Self-Harm
0.0001009644
OpenAI Moderation v1 (007)
Self-Harm > Intent
6.7548E-6
OpenAI Moderation v1 (007)
Hate > Threatening
1.7944E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
6.384E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Unrest, Conflicts and War > Act of Terror
Score:
100
Magnitude:
0.248
Code:
16001000
Url:
https://cv.iptc.org/newscodes/subjectcode/16001000
Wikidata_id:
Q2223653
Wikidata_label:
terrorist attack
Source:
IPTC Subject
Topic:
Defense
Score:
85.665
Magnitude:
41
Code:
16
Url:
https://fsc.al/cap-mc#16
Source:
Comparative Agendas
Topic:
Crime, Law and Justice > Prison
Score:
79
Magnitude:
0.196
Code:
2005000
Url:
https://cv.iptc.org/newscodes/subjectcode/02005000
Wikidata_id:
Q40357
Wikidata_label:
prison
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
52.5
Gunning-Fog Score
15.2
Coleman-Liau Index
10.8
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
7.5
Sprache Readability Score
5
Dale-Chall Difficult Word Score
21
Sprache Difficult Word Count
19

Richard Clarke

It doesn't matter really whether it is Al-Qaeda or Hizbollah or whoever the next group is going to be. It matters whether or not there is a facility that is important, a critical infrastructure, and whether it is vulnerable to attack.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.60944
Harvard-IV (Relative)
0.2
Leans Positive
Harvard-IV (Absolute)
0.2
Leans Positive
Harvard-IV (Logit)
0.33647
VADER
-0.663
Very Negative
Moderation
Violence
0.0329138275
OpenAI Moderation v1 (007)
Violence > Graphic
0.0170895597
OpenAI Moderation v1 (007)
Harassment
0.0029875249
OpenAI Moderation v1 (007)
Sexual
0.0026496
OpenAI Moderation v1 (007)
Sexual > Minors
0.0002172259
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0001189122
OpenAI Moderation v1 (007)
Self-Harm
8.71617E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.5795E-5
OpenAI Moderation v1 (007)
Hate
1.18383E-5
OpenAI Moderation v1 (007)
Hate > Threatening
4.884E-7
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.488E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Unrest, Conflicts and War > Act of Terror
Score:
100
Magnitude:
0.077
Code:
16001000
Url:
https://cv.iptc.org/newscodes/subjectcode/16001000
Wikidata_id:
Q2223653
Wikidata_label:
terrorist attack
Source:
IPTC Subject
Topic:
Law and Crime
Score:
42.062
Magnitude:
53
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Topic:
Defense
Score:
30.211
Magnitude:
53
Code:
16
Url:
https://fsc.al/cap-mc#16
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
11.4
Flesch-Kincaid Ease
50.6
Gunning-Fog Score
14.1
Coleman-Liau Index
10.6
SMOG Index
12
Automated Readability Index
10.2
Dale-Chall Readability Score
5.2
Sprache Readability Score
4.3
Dale-Chall Difficult Word Score
11
Sprache Difficult Word Count
13

Richard Clarke

I think if you want to give points out on the basis of such facilities as part of a formula for giving money to cities or metropolitan areas, I think that makes sense. We don't have any particular brief for the money going through the States. We don't say this in the study, but what our study indicated to us was that the States basically take a cut and slow it down.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.60944
Harvard-IV (Relative)
0.27273
Slightly Positive
Harvard-IV (Absolute)
0.27273
Slightly Positive
Harvard-IV (Logit)
0.51083
VADER
-0.202
Slightly Negative
Moderation
Harassment
0.1104749623
OpenAI Moderation v1 (007)
Violence > Graphic
0.1073889318
OpenAI Moderation v1 (007)
Violence
0.0944925123
OpenAI Moderation v1 (007)
Hate
0.0110241359
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0003879876
OpenAI Moderation v1 (007)
Self-Harm
0.0001875751
OpenAI Moderation v1 (007)
Sexual
0.0001446854
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001057631
OpenAI Moderation v1 (007)
Sexual > Minors
2.19573E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.97399E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.8308E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance > Media > Radio Industry
Score:
100
Magnitude:
0.245
Code:
4010008
Url:
https://cv.iptc.org/newscodes/subjectcode/04010008
Wikidata_id:
Q7281175
Wikidata_label:
radio industry
Source:
IPTC Subject
Topic:
Sport > Motor Racing > Formula One
Score:
84
Magnitude:
0.206
Code:
15039001
Url:
https://cv.iptc.org/newscodes/subjectcode/15039001
Wikidata_id:
Q1968
Wikidata_label:
Formula One
Source:
IPTC Subject
Topic:
Arts, Culture and Entertainment > Library and Museum
Score:
65
Magnitude:
0.159
Code:
1009000
Url:
https://cv.iptc.org/newscodes/subjectcode/01009000
Wikidata_id:
Q3152824
Wikidata_label:
cultural institution
Source:
IPTC Subject
Topic:
International Affairs
Score:
57.659
Magnitude:
41
Code:
19
Url:
https://fsc.al/cap-mc#19
Source:
Comparative Agendas
Topic:
Defense
Score:
31.344
Magnitude:
41
Code:
16
Url:
https://fsc.al/cap-mc#16
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
10.2
Flesch-Kincaid Ease
65
Gunning-Fog Score
12.9
Coleman-Liau Index
7.9
SMOG Index
11.3
Automated Readability Index
9.5
Dale-Chall Readability Score
3.4
Sprache Readability Score
4.7
Dale-Chall Difficult Word Score
10
Sprache Difficult Word Count
14

Richard Clarke

But I come back to the notion of doing this by metropolitan area. I mentioned a few minutes ago the mass decontamination fire truck that is in Arlington. Washington, D.C., doesn't have one; it doesn't need one because Arlington can be here in three minutes, across the bridge, assuming the bridge is still there.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
-0.33333
Somewhat Negative
Harvard-IV (Absolute)
-0.33333
Somewhat Negative
Harvard-IV (Logit)
-0.51083
VADER
-0.34
Somewhat Negative
Moderation
Harassment
0.0450415391
OpenAI Moderation v1 (007)
Violence
0.0170691535
OpenAI Moderation v1 (007)
Violence > Graphic
0.0117802432
OpenAI Moderation v1 (007)
Hate
0.0061031431
OpenAI Moderation v1 (007)
Sexual
0.0007900299
OpenAI Moderation v1 (007)
Harassment > Threatening
6.18182E-5
OpenAI Moderation v1 (007)
Self-Harm
4.29709E-5
OpenAI Moderation v1 (007)
Sexual > Minors
2.05761E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.84382E-5
OpenAI Moderation v1 (007)
Hate > Threatening
4.7413E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
9.461E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Government Operations
Score:
57.873
Magnitude:
72
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
5.9
Flesch-Kincaid Ease
72.6
Gunning-Fog Score
7.3
Coleman-Liau Index
10.6
SMOG Index
9.5
Automated Readability Index
5.2
Dale-Chall Readability Score
4
Sprache Readability Score
3
Dale-Chall Difficult Word Score
12
Sprache Difficult Word Count
12

Richard Clarke

So we really need to take a look at the SMSAs, the standard metropolitan statistical areas, and say what does an SMSA of 1 million need, what does an SMSA of 5 million need, tell them what they need, where it makes sense give it to them, give them the equipment, where that makes sense.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.27273
Slightly Positive
Harvard-IV (Absolute)
0.27273
Slightly Positive
Harvard-IV (Logit)
0.51083
VADER
0
Neutral
Moderation
Violence
0.0713027082
OpenAI Moderation v1 (007)
Violence > Graphic
0.0164640238
OpenAI Moderation v1 (007)
Hate
0.0139634605
OpenAI Moderation v1 (007)
Harassment
0.0138717718
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0009636398
OpenAI Moderation v1 (007)
Hate > Threatening
0.0002325099
OpenAI Moderation v1 (007)
Sexual
0.0001549735
OpenAI Moderation v1 (007)
Sexual > Minors
3.91542E-5
OpenAI Moderation v1 (007)
Self-Harm
5.7403E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.7965E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.4192E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Arts, Culture and Entertainment > Library and Museum
Score:
100
Magnitude:
0.103
Code:
1009000
Url:
https://cv.iptc.org/newscodes/subjectcode/01009000
Wikidata_id:
Q3152824
Wikidata_label:
cultural institution
Source:
IPTC Subject
Topic:
Social Issue
Score:
68
Magnitude:
0.07
Code:
14000000
Url:
https://cv.iptc.org/newscodes/subjectcode/14000000
Wikidata_id:
Q8425
Wikidata_label:
society
Source:
IPTC Subject
Topic:
Arts, Culture and Entertainment > Culture (General)
Score:
65
Magnitude:
0.067
Code:
1022000
Url:
https://cv.iptc.org/newscodes/subjectcode/01022000
Wikidata_id:
Q11042
Wikidata_label:
culture
Source:
IPTC Subject
Topic:
Arts, Culture and Entertainment > Mass Media > Periodicals
Score:
65
Magnitude:
0.067
Code:
1026001
Url:
https://cv.iptc.org/newscodes/subjectcode/01026001
Wikidata_id:
Q1002697
Wikidata_label:
periodical
Source:
IPTC Subject
Topic:
Politics
Score:
58
Magnitude:
0.059
Code:
11000000
Url:
https://cv.iptc.org/newscodes/subjectcode/11000000
Wikidata_id:
Q7163
Wikidata_label:
politics
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
40.3
Gunning-Fog Score
19
Coleman-Liau Index
8
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
5
Sprache Readability Score
5
Dale-Chall Difficult Word Score
8
Sprache Difficult Word Count
9

Joe Biden

This is the only place, in my experience, where the State people are coming to us and saying, don't just help us with money, tell us what we need, tell us what we need.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.2
Leans Positive
Harvard-IV (Absolute)
0.2
Leans Positive
Harvard-IV (Logit)
0.33647
VADER
-0.128
Leans Negative
Moderation
Violence
0.0171172011
OpenAI Moderation v1 (007)
Violence > Graphic
0.0117783682
OpenAI Moderation v1 (007)
Harassment
0.0007461348
OpenAI Moderation v1 (007)
Sexual
0.0001813986
OpenAI Moderation v1 (007)
Hate
8.27982E-5
OpenAI Moderation v1 (007)
Harassment > Threatening
2.24891E-5
OpenAI Moderation v1 (007)
Self-Harm
1.25735E-5
OpenAI Moderation v1 (007)
Sexual > Minors
1.09811E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
4.4332E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
6.843E-7
OpenAI Moderation v1 (007)
Hate > Threatening
2.102E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Arts, Culture and Entertainment > Mass Media > Reviews
Score:
100
Magnitude:
0.114
Code:
1026004
Url:
https://cv.iptc.org/newscodes/subjectcode/01026004
Wikidata_id:
Q2018526
Wikidata_label:
arts
Source:
IPTC Subject
Topic:
Arts, Culture and Entertainment > Culture (General)
Score:
67
Magnitude:
0.076
Code:
1022000
Url:
https://cv.iptc.org/newscodes/subjectcode/01022000
Wikidata_id:
Q11042
Wikidata_label:
culture
Source:
IPTC Subject
Topic:
Social Issue > People
Score:
60
Magnitude:
0.068
Code:
14024000
Url:
https://cv.iptc.org/newscodes/subjectcode/14024000
Wikidata_id:
Q1156970
Wikidata_label:
humanity
Source:
IPTC Subject
Topic:
Politics
Score:
53
Magnitude:
0.06
Code:
11000000
Url:
https://cv.iptc.org/newscodes/subjectcode/11000000
Wikidata_id:
Q7163
Wikidata_label:
politics
Source:
IPTC Subject
Topic:
Social Issue
Score:
51
Magnitude:
0.058
Code:
14000000
Url:
https://cv.iptc.org/newscodes/subjectcode/14000000
Wikidata_id:
Q8425
Wikidata_label:
society
Source:
IPTC Subject
Topic:
Domestic Commerce
Score:
36.431
Magnitude:
53
Code:
15
Url:
https://fsc.al/cap-mc#15
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
11.9
Flesch-Kincaid Ease
70.3
Gunning-Fog Score
14.8
Coleman-Liau Index
6.4
SMOG Index
9
Automated Readability Index
12
Dale-Chall Readability Score
4.5
Sprache Readability Score
5
Dale-Chall Difficult Word Score
6
Sprache Difficult Word Count
4

Richard Clarke

The other thing we heard was, okay, we know we need "x," but there are 400 companies that have sprung up overnight because they smell the scent of Federal money; tell us which one of this list of 400 companies makes a product that works, because cities and States can't figure that out.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.66667
Very Positive
Harvard-IV (Absolute)
0.66667
Very Positive
Harvard-IV (Logit)
1.29928
VADER
0.115
Leans Positive
Moderation
Violence
0.0585165573
OpenAI Moderation v1 (007)
Violence > Graphic
0.0157354167
OpenAI Moderation v1 (007)
Harassment
0.0131416062
OpenAI Moderation v1 (007)
Hate
0.0016031112
OpenAI Moderation v1 (007)
Harassment > Threatening
0.000281749
OpenAI Moderation v1 (007)
Sexual
0.0002075366
OpenAI Moderation v1 (007)
Sexual > Minors
6.41627E-5
OpenAI Moderation v1 (007)
Self-Harm
3.80588E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.33669E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
9.7555E-6
OpenAI Moderation v1 (007)
Hate > Threatening
8.3691E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance
Score:
100
Magnitude:
0.138
Code:
4000000
Url:
https://cv.iptc.org/newscodes/subjectcode/04000000
Wikidata_id:
Q159810
Wikidata_label:
economy
Source:
IPTC Subject
Topic:
Government Operations
Score:
66.732
Magnitude:
34
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Topic:
Social Issue
Score:
59
Magnitude:
0.081
Code:
14000000
Url:
https://cv.iptc.org/newscodes/subjectcode/14000000
Wikidata_id:
Q8425
Wikidata_label:
society
Source:
IPTC Subject
Topic:
Economy, Business and Finance > Macro Economics > Business Enterprises
Score:
52
Magnitude:
0.072
Code:
4008034
Url:
https://cv.iptc.org/newscodes/subjectcode/04008034
Wikidata_id:
Q4830453
Wikidata_label:
business
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
46.1
Gunning-Fog Score
19
Coleman-Liau Index
8.5
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
4.4
Sprache Readability Score
5
Dale-Chall Difficult Word Score
6
Sprache Difficult Word Count
7

Paul Posner

I want to make clear what I said in the statement that we don't think a pure block grant works in this situation either, for the very reasons that you have said. There are very strong national goals and standards that we need to develop, and I think the States, as you say, agree with you.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.66667
Very Positive
Harvard-IV (Absolute)
0.66667
Very Positive
Harvard-IV (Logit)
1.29928
VADER
0.901
Very Positive
Moderation
Violence
0.0480055372
OpenAI Moderation v1 (007)
Violence > Graphic
0.0213504696
OpenAI Moderation v1 (007)
Harassment
0.0096241441
OpenAI Moderation v1 (007)
Sexual
0.0027720544
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0009630023
OpenAI Moderation v1 (007)
Hate
0.0003412476
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001833227
OpenAI Moderation v1 (007)
Self-Harm
0.0001457593
OpenAI Moderation v1 (007)
Self-Harm > Intent
4.15671E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.00761E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.46956E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Sport > Soccer
Score:
100
Magnitude:
0.1
Code:
15054000
Url:
https://cv.iptc.org/newscodes/subjectcode/15054000
Wikidata_id:
Q2736
Wikidata_label:
association football
Source:
IPTC Subject
Topic:
Domestic Commerce
Score:
97.484
Magnitude:
51
Code:
15
Url:
https://fsc.al/cap-mc#15
Source:
Comparative Agendas
Topic:
Politics
Score:
82
Magnitude:
0.082
Code:
11000000
Url:
https://cv.iptc.org/newscodes/subjectcode/11000000
Wikidata_id:
Q7163
Wikidata_label:
politics
Source:
IPTC Subject
Topic:
Arts, Culture and Entertainment > Culture (General)
Score:
67
Magnitude:
0.066
Code:
1022000
Url:
https://cv.iptc.org/newscodes/subjectcode/01022000
Wikidata_id:
Q11042
Wikidata_label:
culture
Source:
IPTC Subject
Topic:
Social Issue > People
Score:
65
Magnitude:
0.065
Code:
14024000
Url:
https://cv.iptc.org/newscodes/subjectcode/14024000
Wikidata_id:
Q1156970
Wikidata_label:
humanity
Source:
IPTC Subject
Topic:
Science and Technology > Science (General)
Score:
58
Magnitude:
0.057
Code:
13009000
Url:
https://cv.iptc.org/newscodes/subjectcode/13009000
Wikidata_id:
Q34104
Wikidata_label:
science and technology
Source:
IPTC Subject
Topic:
Social Issue
Score:
55
Magnitude:
0.055
Code:
14000000
Url:
https://cv.iptc.org/newscodes/subjectcode/14000000
Wikidata_id:
Q8425
Wikidata_label:
society
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
10.1
Flesch-Kincaid Ease
72.7
Gunning-Fog Score
13.3
Coleman-Liau Index
8.1
SMOG Index
10.3
Automated Readability Index
11.7
Dale-Chall Readability Score
3.1
Sprache Readability Score
5
Dale-Chall Difficult Word Score
6
Sprache Difficult Word Count
12

Paul Posner

What we are trying to say is there is consolidation that is in order, because what we are saying is can you define national goals and standards, but give flexibility in terms of how you spend that money. What we are seeing right now is the 21 first responder grants are so narrowly defined. The local governments get this money for equipment. They already have the equipment and they want to use it for training and they can't use it for training. So that is the concept we are trying to get across here.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.42857
Positive
Harvard-IV (Absolute)
0.42857
Positive
Harvard-IV (Logit)
0.8473
VADER
0.71
Very Positive
Moderation
Violence
0.2020133426
OpenAI Moderation v1 (007)
Harassment
0.0682138372
OpenAI Moderation v1 (007)
Violence > Graphic
0.0230683698
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0047045614
OpenAI Moderation v1 (007)
Hate
0.0018974177
OpenAI Moderation v1 (007)
Hate > Threatening
0.0003422181
OpenAI Moderation v1 (007)
Sexual
0.000217303
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001453735
OpenAI Moderation v1 (007)
Self-Harm
5.80989E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.2912E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.40722E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Crime, Law and Justice > Justice and Rights
Score:
100
Magnitude:
0.081
Code:
2007000
Url:
https://cv.iptc.org/newscodes/subjectcode/02007000
Wikidata_id:
Q5167661
Wikidata_label:
justice
Source:
IPTC Subject
Topic:
Macroeconomics
Score:
67.412
Magnitude:
56
Code:
1
Url:
https://fsc.al/cap-mc#1
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
8.1
Flesch-Kincaid Ease
70.8
Gunning-Fog Score
11.8
Coleman-Liau Index
9.3
SMOG Index
11.3
Automated Readability Index
8.1
Dale-Chall Readability Score
4.1
Sprache Readability Score
4.6
Dale-Chall Difficult Word Score
19
Sprache Difficult Word Count
20

Joe Biden

We struggled with that in the COPS money, too, and we finally came up with a way to do that. You are right, I think.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
-0.34
Somewhat Negative
Moderation
Violence
0.0091085625
OpenAI Moderation v1 (007)
Violence > Graphic
0.0042521373
OpenAI Moderation v1 (007)
Sexual
0.0032994783
OpenAI Moderation v1 (007)
Harassment
0.0022130838
OpenAI Moderation v1 (007)
Harassment > Threatening
0.000306274
OpenAI Moderation v1 (007)
Sexual > Minors
0.0002426357
OpenAI Moderation v1 (007)
Hate
0.0001075295
OpenAI Moderation v1 (007)
Self-Harm
2.73057E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.02008E-5
OpenAI Moderation v1 (007)
Hate > Threatening
3.5426E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
7.105E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Defense
Score:
78.646
Magnitude:
93
Code:
16
Url:
https://fsc.al/cap-mc#16
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
3
Flesch-Kincaid Ease
96
Gunning-Fog Score
6.6
Coleman-Liau Index
4.7
SMOG Index
7.3
Automated Readability Index
1.2
Dale-Chall Readability Score
1.9
Sprache Readability Score
2.4
Dale-Chall Difficult Word Score
2
Sprache Difficult Word Count
3

Joe Biden

I thank you, Mr. Chairman.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.09861
VADER
0.361
Somewhat Positive
Moderation
Harassment
0.0545939663
OpenAI Moderation v1 (007)
Violence > Graphic
0.025388514
OpenAI Moderation v1 (007)
Violence
0.0128807369
OpenAI Moderation v1 (007)
Hate
0.0028155857
OpenAI Moderation v1 (007)
Sexual
0.0019501973
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0004705404
OpenAI Moderation v1 (007)
Self-Harm
0.0001716103
OpenAI Moderation v1 (007)
Sexual > Minors
3.46891E-5
OpenAI Moderation v1 (007)
Hate > Threatening
3.12334E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.59354E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.9737E-5
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
0
Flesch-Kincaid Ease
100
Gunning-Fog Score
1
Coleman-Liau Index
6.5
SMOG Index
3.3
Automated Readability Index
0
Dale-Chall Readability Score
6.4
Sprache Readability Score
1.1
Dale-Chall Difficult Word Score
2
Sprache Difficult Word Count
2

Jon Kyl

Thank you very much.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.09861
VADER
0.361
Somewhat Positive
Moderation
Violence
0.0263118389
OpenAI Moderation v1 (007)
Violence > Graphic
0.0121003228
OpenAI Moderation v1 (007)
Harassment
0.002696722
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0007833215
OpenAI Moderation v1 (007)
Sexual
0.0004374624
OpenAI Moderation v1 (007)
Hate
0.0001231111
OpenAI Moderation v1 (007)
Hate > Threatening
3.73536E-5
OpenAI Moderation v1 (007)
Sexual > Minors
2.06146E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.4398E-6
OpenAI Moderation v1 (007)
Self-Harm
1.3546E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
8.103E-7
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
0.7
Flesch-Kincaid Ease
97
Gunning-Fog Score
1.6
Coleman-Liau Index
7.7
SMOG Index
3.3
Automated Readability Index
0
Dale-Chall Readability Score
0.2
Sprache Readability Score
1.1
Dale-Chall Difficult Word Score
0
Sprache Difficult Word Count
0

Jon Kyl

Senator Feingold.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
0
Neutral
Moderation
Harassment
1.3480153866
OpenAI Moderation v1 (007)
Hate
0.0205596298
OpenAI Moderation v1 (007)
Violence
0.0189223676
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0043177908
OpenAI Moderation v1 (007)
Violence > Graphic
0.003611685
OpenAI Moderation v1 (007)
Sexual
0.0006661311
OpenAI Moderation v1 (007)
Hate > Threatening
0.0001192676
OpenAI Moderation v1 (007)
Self-Harm > Intent
7.57834E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
7.01899E-5
OpenAI Moderation v1 (007)
Self-Harm
6.1339E-5
OpenAI Moderation v1 (007)
Sexual > Minors
2.15565E-5
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
0
Gunning-Fog Score
0.8
Coleman-Liau Index
12
SMOG Index
9
Automated Readability Index
12
Dale-Chall Readability Score
10
Sprache Readability Score
1.1
Dale-Chall Difficult Word Score
2
Sprache Difficult Word Count
2

Jon Kyl

STATEMENT OF HON. RUSSELL D. FEINGOLD, A U.S. SENATOR FROM THE
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
0
Neutral
Moderation
Violence
0.0066376953
OpenAI Moderation v1 (007)
Violence > Graphic
0.0040589814
OpenAI Moderation v1 (007)
Harassment
0.0024031737
OpenAI Moderation v1 (007)
Sexual > Minors
0.0013561431
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0013125581
OpenAI Moderation v1 (007)
Sexual
0.0012073358
OpenAI Moderation v1 (007)
Hate
0.0003591658
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001135275
OpenAI Moderation v1 (007)
Self-Harm > Instructions
5.0846E-5
OpenAI Moderation v1 (007)
Self-Harm
4.43673E-5
OpenAI Moderation v1 (007)
Hate > Threatening
2.3095E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
2.1
Flesch-Kincaid Ease
84.5
Gunning-Fog Score
4.3
Coleman-Liau Index
7.1
SMOG Index
5.8
Automated Readability Index
0
Dale-Chall Readability Score
6.7
Sprache Readability Score
1.4
Dale-Chall Difficult Word Score
5
Sprache Difficult Word Count
5

Russ Feingold

Thank you, Mr. Chairman. I want to thank you and the Ranking Member for holding this important hearing, and I want to thank the witnesses for being here and for so clearly bringing to the attention of the Nation the dramatic underfunding of first responders.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
2.3979
VADER
0.796
Very Positive
Moderation
Violence
0.006840525
OpenAI Moderation v1 (007)
Violence > Graphic
0.0060161077
OpenAI Moderation v1 (007)
Harassment
0.0043286251
OpenAI Moderation v1 (007)
Hate
0.0012469452
OpenAI Moderation v1 (007)
Sexual
0.0001417709
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0001398079
OpenAI Moderation v1 (007)
Self-Harm
3.46471E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
9.3543E-6
OpenAI Moderation v1 (007)
Sexual > Minors
5.4088E-6
OpenAI Moderation v1 (007)
Hate > Threatening
3.5868E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.1321E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
7.6
Flesch-Kincaid Ease
67.5
Gunning-Fog Score
10.4
Coleman-Liau Index
11.5
SMOG Index
10.6
Automated Readability Index
7.9
Dale-Chall Readability Score
4.6
Sprache Readability Score
3.6
Dale-Chall Difficult Word Score
11
Sprache Difficult Word Count
14

Russ Feingold

The title of the task force report, "Emergency Responders: Drastically Underfunded, Dangerously Unprepared," says it all. Sadly, the conclusion of this report doesn't really come as a surprise to the emergency responders that I talk to Wisconsin, who, like their counterparts throughout the country, simply do not have the funds to get the equipment and training they need for responding to a terrorist incident.
Sentiment
Loughran McDonald (Relative)
-0.66667
Very Negative
Loughran McDonald (Absolute)
-0.66667
Very Negative
Loughran McDonald (Logit)
-1.29928
Harvard-IV (Relative)
-0.2
Slightly Negative
Harvard-IV (Absolute)
-0.2
Slightly Negative
Harvard-IV (Logit)
-0.36772
VADER
-0.896
Very Negative
Moderation
Violence
1.6421098262
OpenAI Moderation v1 (007)
Violence > Graphic
0.842140615
OpenAI Moderation v1 (007)
Harassment
0.0616610632
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0327485322
OpenAI Moderation v1 (007)
Self-Harm
0.0080038837
OpenAI Moderation v1 (007)
Hate
0.0067425572
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.002797792
OpenAI Moderation v1 (007)
Hate > Threatening
0.0015545706
OpenAI Moderation v1 (007)
Sexual
0.0001025168
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.76391E-5
OpenAI Moderation v1 (007)
Sexual > Minors
1.60028E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Disaster and Accident > Emergency Incident
Score:
100
Magnitude:
0.095
Code:
3014000
Url:
https://cv.iptc.org/newscodes/subjectcode/03014000
Wikidata_id:
Q5070802
Wikidata_label:
emergency
Source:
IPTC Subject
Topic:
Unrest, Conflicts and War > Act of Terror
Score:
88
Magnitude:
0.083
Code:
16001000
Url:
https://cv.iptc.org/newscodes/subjectcode/16001000
Wikidata_id:
Q2223653
Wikidata_label:
terrorist attack
Source:
IPTC Subject
Topic:
Politics > Defense
Score:
82
Magnitude:
0.078
Code:
11001000
Url:
https://cv.iptc.org/newscodes/subjectcode/11001000
Wikidata_id:
Q17991228
Wikidata_label:
national defence
Source:
IPTC Subject
Topic:
Law and Crime
Score:
28.074
Magnitude:
45
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
28.9
Gunning-Fog Score
18.4
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
6.8
Sprache Readability Score
5
Dale-Chall Difficult Word Score
21
Sprache Difficult Word Count
24

Russ Feingold

First responders on whom we all depend need our help to be ready. We all know it, we all say so, but Congress and the administration have so far failed to provide the necessary resources. The big problem is that our priorities are out of line. Our budget choices do not reflect the passionate rhetorical flourishes that are so commonly employed here in Washington.
Sentiment
Loughran McDonald (Relative)
-0.33333
Somewhat Negative
Loughran McDonald (Absolute)
-0.33333
Somewhat Negative
Loughran McDonald (Logit)
-0.51083
Harvard-IV (Relative)
0.4
Somewhat Positive
Harvard-IV (Absolute)
0.4
Somewhat Positive
Harvard-IV (Logit)
0.76214
VADER
-0.46
Negative
Moderation
Violence
0.5015376024
OpenAI Moderation v1 (007)
Violence > Graphic
0.3658973612
OpenAI Moderation v1 (007)
Harassment
0.0115198352
OpenAI Moderation v1 (007)
Self-Harm
0.0030563755
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0023077682
OpenAI Moderation v1 (007)
Hate
0.0018508154
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0012730286
OpenAI Moderation v1 (007)
Hate > Threatening
0.0005995324
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0005624466
OpenAI Moderation v1 (007)
Sexual
6.83404E-5
OpenAI Moderation v1 (007)
Sexual > Minors
2.33096E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Sport > Soccer
Score:
100
Magnitude:
0.081
Code:
15054000
Url:
https://cv.iptc.org/newscodes/subjectcode/15054000
Wikidata_id:
Q2736
Wikidata_label:
association football
Source:
IPTC Subject
Topic:
Labor > Employment
Score:
99
Magnitude:
0.08
Code:
9003000
Url:
https://cv.iptc.org/newscodes/subjectcode/09003000
Wikidata_id:
Q656365
Wikidata_label:
employment
Source:
IPTC Subject
Topic:
Arts, Culture and Entertainment > Culture (General)
Score:
74
Magnitude:
0.06
Code:
1022000
Url:
https://cv.iptc.org/newscodes/subjectcode/01022000
Wikidata_id:
Q11042
Wikidata_label:
culture
Source:
IPTC Subject
Topic:
Economy, Business and Finance > Macro Economics > Budgets and Budgeting
Score:
69
Magnitude:
0.056
Code:
4008019
Url:
https://cv.iptc.org/newscodes/subjectcode/04008019
Wikidata_id:
Q41263
Wikidata_label:
budget
Source:
IPTC Subject
Topic:
Health
Score:
40.258
Magnitude:
64
Code:
3
Url:
https://fsc.al/cap-mc#3
Source:
Comparative Agendas
Topic:
Defense
Score:
30.792
Magnitude:
64
Code:
16
Url:
https://fsc.al/cap-mc#16
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
9.1
Flesch-Kincaid Ease
58.4
Gunning-Fog Score
12
Coleman-Liau Index
11.3
SMOG Index
12
Automated Readability Index
8.3
Dale-Chall Readability Score
5
Sprache Readability Score
4.2
Dale-Chall Difficult Word Score
17
Sprache Difficult Word Count
19

Russ Feingold

We say this Nation's number-one priority is the fight against terrorism. We all agree that first responders play a critical role in this fight. So why aren't we acting like it? Why aren't we working together with State and local governments to fill the 5-year, $100 billion shortfall found by Senator Rudman's Independent Task Force on Emergency Responders?
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.94591
Harvard-IV (Relative)
-0.2
Slightly Negative
Harvard-IV (Absolute)
-0.2
Slightly Negative
Harvard-IV (Logit)
-0.36772
VADER
-0.84
Very Negative
Moderation
Violence
0.0185180877
OpenAI Moderation v1 (007)
Violence > Graphic
0.0116857918
OpenAI Moderation v1 (007)
Harassment
0.0087129563
OpenAI Moderation v1 (007)
Hate
0.0046725254
OpenAI Moderation v1 (007)
Sexual
0.0019924135
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0015463289
OpenAI Moderation v1 (007)
Hate > Threatening
2.48083E-5
OpenAI Moderation v1 (007)
Self-Harm
1.03334E-5
OpenAI Moderation v1 (007)
Sexual > Minors
5.2332E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.6785E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.0962E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Parliament
Score:
100
Magnitude:
0.183
Code:
11009000
Url:
https://cv.iptc.org/newscodes/subjectcode/11009000
Wikidata_id:
Q35749
Wikidata_label:
parliament
Source:
IPTC Subject
Topic:
Unrest, Conflicts and War > Act of Terror
Score:
87
Magnitude:
0.159
Code:
16001000
Url:
https://cv.iptc.org/newscodes/subjectcode/16001000
Wikidata_id:
Q2223653
Wikidata_label:
terrorist attack
Source:
IPTC Subject
Topic:
Politics > Defense
Score:
84
Magnitude:
0.154
Code:
11001000
Url:
https://cv.iptc.org/newscodes/subjectcode/11001000
Wikidata_id:
Q17991228
Wikidata_label:
national defence
Source:
IPTC Subject
Topic:
Crime, Law and Justice > Crime > Terrorism
Score:
64
Magnitude:
0.118
Code:
2001010
Url:
https://cv.iptc.org/newscodes/subjectcode/02001010
Wikidata_id:
Q7283
Wikidata_label:
terrorism
Source:
IPTC Subject
Topic:
Disaster and Accident > Emergency Incident
Score:
58
Magnitude:
0.105
Code:
3014000
Url:
https://cv.iptc.org/newscodes/subjectcode/03014000
Wikidata_id:
Q5070802
Wikidata_label:
emergency
Source:
IPTC Subject
Topic:
Defense
Score:
40.158
Magnitude:
64
Code:
16
Url:
https://fsc.al/cap-mc#16
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
8.9
Flesch-Kincaid Ease
57.7
Gunning-Fog Score
10.7
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
8.4
Dale-Chall Readability Score
5.2
Sprache Readability Score
4.2
Dale-Chall Difficult Word Score
17
Sprache Difficult Word Count
21

Russ Feingold

The problems facing first responders from the city of Kenosha, Wisconsin, for example, are emblematic of those facing first responders throughout the country. Two years after September 11, Kenosha emergency responders are still trying to get the updated integrated communications equipment they need, which you have been talking about. I have also heard from many fire departments throughout Wisconsin that have been trying to acquire much needed breathing apparatuses, but simply do not have the funds to do so.
Sentiment
Loughran McDonald (Relative)
-0.33333
Somewhat Negative
Loughran McDonald (Absolute)
-0.33333
Somewhat Negative
Loughran McDonald (Logit)
-0.51083
Harvard-IV (Relative)
-0.6
Very Negative
Harvard-IV (Absolute)
-0.6
Very Negative
Harvard-IV (Logit)
-1.22378
VADER
-0.519
Very Negative
Moderation
Harassment
0.066726614
OpenAI Moderation v1 (007)
Violence
0.0341749052
OpenAI Moderation v1 (007)
Sexual
0.0070324313
OpenAI Moderation v1 (007)
Hate
0.0050682211
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0033526732
OpenAI Moderation v1 (007)
Violence > Graphic
0.0028942166
OpenAI Moderation v1 (007)
Hate > Threatening
0.0005593607
OpenAI Moderation v1 (007)
Self-Harm
0.0005274455
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0003006556
OpenAI Moderation v1 (007)
Sexual > Minors
0.0002251763
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001069279
OpenAI Moderation v1 (007)
Topics
Topic:
Disaster and Accident > Fire
Score:
100
Magnitude:
0.13
Code:
3004000
Url:
https://cv.iptc.org/newscodes/subjectcode/03004000
Wikidata_id:
Q3196
Wikidata_label:
fire
Source:
IPTC Subject
Topic:
Defense
Score:
81.872
Magnitude:
57
Code:
16
Url:
https://fsc.al/cap-mc#16
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
35.5
Gunning-Fog Score
16.6
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
6.9
Sprache Readability Score
5
Dale-Chall Difficult Word Score
28
Sprache Difficult Word Count
22

Russ Feingold

Police departments are also feeling the strain of added responsibilities to protect our Nation against a terrorist attack, while being squeezed for funding because the administration has drastically cut or eliminated crucial Federal funding programs.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.94591
Harvard-IV (Relative)
-0.2
Slightly Negative
Harvard-IV (Absolute)
-0.2
Slightly Negative
Harvard-IV (Logit)
-0.33647
VADER
-0.791
Very Negative
Moderation
Harassment
1.0629614815
OpenAI Moderation v1 (007)
Hate
0.0282207533
OpenAI Moderation v1 (007)
Violence
0.0076050463
OpenAI Moderation v1 (007)
Sexual
0.0009497086
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0007617075
OpenAI Moderation v1 (007)
Violence > Graphic
0.0002263735
OpenAI Moderation v1 (007)
Self-Harm
8.52792E-5
OpenAI Moderation v1 (007)
Sexual > Minors
6.24823E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
6.09469E-5
OpenAI Moderation v1 (007)
Hate > Threatening
9.3962E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
6.8826E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Unrest, Conflicts and War > Act of Terror
Score:
100
Magnitude:
0.158
Code:
16001000
Url:
https://cv.iptc.org/newscodes/subjectcode/16001000
Wikidata_id:
Q2223653
Wikidata_label:
terrorist attack
Source:
IPTC Subject
Topic:
Crime, Law and Justice > Police
Score:
81
Magnitude:
0.128
Code:
2003000
Url:
https://cv.iptc.org/newscodes/subjectcode/02003000
Wikidata_id:
Q35535
Wikidata_label:
police
Source:
IPTC Subject
Topic:
Health
Score:
60.4
Magnitude:
78
Code:
3
Url:
https://fsc.al/cap-mc#3
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
0
Gunning-Fog Score
19
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
9.4
Sprache Readability Score
5
Dale-Chall Difficult Word Score
17
Sprache Difficult Word Count
18

Russ Feingold

Former Green Bay Chief of Police James Lewis wrote to me on behalf of 20 other Wisconsin police chiefs earlier this year to express concern about cuts in the COPS, local law enforcement block grants, and Byrne grant programs. Particularly in rural areas, local law enforcement is heavily dependent on these funds.
Sentiment
Loughran McDonald (Relative)
-0.33333
Somewhat Negative
Loughran McDonald (Absolute)
-0.33333
Somewhat Negative
Loughran McDonald (Logit)
-0.51083
Harvard-IV (Relative)
-0.33333
Somewhat Negative
Harvard-IV (Absolute)
-0.33333
Somewhat Negative
Harvard-IV (Logit)
-0.58779
VADER
-0.178
Leans Negative
Moderation
Harassment
0.5320099648
OpenAI Moderation v1 (007)
Violence
0.0740074203
OpenAI Moderation v1 (007)
Hate
0.0327213464
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0230831341
OpenAI Moderation v1 (007)
Violence > Graphic
0.002851144
OpenAI Moderation v1 (007)
Sexual
0.0003936918
OpenAI Moderation v1 (007)
Hate > Threatening
0.0001373855
OpenAI Moderation v1 (007)
Sexual > Minors
7.44224E-5
OpenAI Moderation v1 (007)
Self-Harm
5.09947E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.94452E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.08252E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Crime, Law and Justice > Police
Score:
100
Magnitude:
0.234
Code:
2003000
Url:
https://cv.iptc.org/newscodes/subjectcode/02003000
Wikidata_id:
Q35535
Wikidata_label:
police
Source:
IPTC Subject
Topic:
Law and Crime
Score:
93.264
Magnitude:
35
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
48.7
Gunning-Fog Score
15
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
8.9
Sprache Readability Score
5
Dale-Chall Difficult Word Score
25
Sprache Difficult Word Count
24

Russ Feingold

Chief Lewis wrote, "Without adequate Federal support, local law enforcement will not be able to continue its innovative approach to addressing local crime issues and facing the new issues of terrorism that are confronting our country." I think Congress has to heed this warning before the next attack shows how shortsighted these cuts really are.
Sentiment
Loughran McDonald (Relative)
-0.33333
Somewhat Negative
Loughran McDonald (Absolute)
-0.33333
Somewhat Negative
Loughran McDonald (Logit)
-0.58779
Harvard-IV (Relative)
-0.23077
Slightly Negative
Harvard-IV (Absolute)
-0.23077
Slightly Negative
Harvard-IV (Logit)
-0.43532
VADER
-0.916
Very Negative
Moderation
Sexual
0.0246401469
OpenAI Moderation v1 (007)
Violence
0.0069092181
OpenAI Moderation v1 (007)
Violence > Graphic
0.0034851499
OpenAI Moderation v1 (007)
Harassment
0.0032251271
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0012387185
OpenAI Moderation v1 (007)
Sexual > Minors
0.0004689975
OpenAI Moderation v1 (007)
Self-Harm
0.0001715653
OpenAI Moderation v1 (007)
Hate
6.50333E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
4.44715E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.54045E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.52797E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Crime, Law and Justice > Police
Score:
100
Magnitude:
0.169
Code:
2003000
Url:
https://cv.iptc.org/newscodes/subjectcode/02003000
Wikidata_id:
Q35535
Wikidata_label:
police
Source:
IPTC Subject
Topic:
Law and Crime
Score:
97.784
Magnitude:
51
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Topic:
Crime, Law and Justice > Judiciary (System of Justice)
Score:
65
Magnitude:
0.109
Code:
2002000
Url:
https://cv.iptc.org/newscodes/subjectcode/02002000
Wikidata_id:
Q105985
Wikidata_label:
judiciary
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
37.4
Gunning-Fog Score
17.5
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
7.1
Sprache Readability Score
5
Dale-Chall Difficult Word Score
20
Sprache Difficult Word Count
22

Russ Feingold

So I do thank you, Mr. Chairman, for holding this hearing. It is obvious that a lot of work has to be done to assist our Nation's first responders, and now I would like to just ask a couple of questions.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
0.5
Positive
Harvard-IV (Absolute)
0.5
Positive
Harvard-IV (Logit)
0.8473
VADER
0.646
Very Positive
Moderation
Harassment
0.0362795428
OpenAI Moderation v1 (007)
Violence
0.0006745517
OpenAI Moderation v1 (007)
Hate
0.0005732707
OpenAI Moderation v1 (007)
Sexual
0.0002470687
OpenAI Moderation v1 (007)
Violence > Graphic
0.0002070538
OpenAI Moderation v1 (007)
Harassment > Threatening
3.22332E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.27207E-5
OpenAI Moderation v1 (007)
Sexual > Minors
1.16433E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.012E-6
OpenAI Moderation v1 (007)
Self-Harm
6.415E-7
OpenAI Moderation v1 (007)
Self-Harm > Intent
6.027E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Crime, Law and Justice > Trials
Score:
100
Magnitude:
0.073
Code:
2008000
Url:
https://cv.iptc.org/newscodes/subjectcode/02008000
Wikidata_id:
Q8016240
Wikidata_label:
trial
Source:
IPTC Subject
Topic:
Law and Crime
Score:
93.8
Magnitude:
55
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Topic:
Sport > Soccer
Score:
84
Magnitude:
0.061
Code:
15054000
Url:
https://cv.iptc.org/newscodes/subjectcode/15054000
Wikidata_id:
Q2736
Wikidata_label:
association football
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
5
Flesch-Kincaid Ease
83.6
Gunning-Fog Score
8.4
Coleman-Liau Index
6.6
SMOG Index
9
Automated Readability Index
3.3
Dale-Chall Readability Score
3.8
Sprache Readability Score
3.1
Dale-Chall Difficult Word Score
8
Sprache Difficult Word Count
10

Russ Feingold

I would like to ask either Mr. Rudman or Mr. Clarke, in response to your report a Department of Homeland Security spokesman called your cost estimate for funding first responders, quote, "grossly inflated," unquote. Others have said that funding levels should not be raised significantly because the funds simply could not be absorbed efficiently.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.25
Slightly Positive
Harvard-IV (Absolute)
0.25
Slightly Positive
Harvard-IV (Logit)
0.45199
VADER
0.362
Somewhat Positive
Moderation
Violence > Graphic
0.0284007081
OpenAI Moderation v1 (007)
Violence
0.0192688851
OpenAI Moderation v1 (007)
Harassment
0.0047864291
OpenAI Moderation v1 (007)
Sexual
0.0020937661
OpenAI Moderation v1 (007)
Harassment > Threatening
0.001304136
OpenAI Moderation v1 (007)
Hate
0.0001540787
OpenAI Moderation v1 (007)
Self-Harm
4.26237E-5
OpenAI Moderation v1 (007)
Sexual > Minors
4.238E-5
OpenAI Moderation v1 (007)
Hate > Threatening
3.34924E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
6.5889E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
5.83E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance > Company Information > Financing and Stock Offering
Score:
100
Magnitude:
0.058
Code:
4016019
Url:
https://cv.iptc.org/newscodes/subjectcode/04016019
Wikidata_id:
Q1134763
Wikidata_label:
corporate finance
Source:
IPTC Subject
Topic:
Defense
Score:
75.101
Magnitude:
41
Code:
16
Url:
https://fsc.al/cap-mc#16
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
10
Flesch-Kincaid Ease
47.4
Gunning-Fog Score
11.3
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
10.1
Dale-Chall Readability Score
7.7
Sprache Readability Score
4.3
Dale-Chall Difficult Word Score
24
Sprache Difficult Word Count
25

Russ Feingold

Do you believe that emergency responders could efficiently use the funds you recommended they receive? Senator Rudman?
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.09861
Harvard-IV (Relative)
0.33333
Somewhat Positive
Harvard-IV (Absolute)
0.33333
Somewhat Positive
Harvard-IV (Logit)
0.51083
VADER
0.309
Somewhat Positive
Moderation
Violence > Graphic
0.0139682539
OpenAI Moderation v1 (007)
Violence
0.0041689629
OpenAI Moderation v1 (007)
Harassment
0.0024812258
OpenAI Moderation v1 (007)
Sexual
0.000806432
OpenAI Moderation v1 (007)
Hate
0.0003574934
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0001010611
OpenAI Moderation v1 (007)
Sexual > Minors
8.07519E-5
OpenAI Moderation v1 (007)
Self-Harm
1.42523E-5
OpenAI Moderation v1 (007)
Hate > Threatening
2.2908E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
9.997E-7
OpenAI Moderation v1 (007)
Self-Harm > Instructions
9.41E-8
OpenAI Moderation v1 (007)
Topics
Topic:
Disaster and Accident > Emergency Incident
Score:
100
Magnitude:
0.06
Code:
3014000
Url:
https://cv.iptc.org/newscodes/subjectcode/03014000
Wikidata_id:
Q5070802
Wikidata_label:
emergency
Source:
IPTC Subject
Topic:
Politics > Parliament
Score:
87
Magnitude:
0.053
Code:
11009000
Url:
https://cv.iptc.org/newscodes/subjectcode/11009000
Wikidata_id:
Q35749
Wikidata_label:
parliament
Source:
IPTC Subject
Topic:
Defense
Score:
82.293
Magnitude:
54
Code:
16
Url:
https://fsc.al/cap-mc#16
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
10.6
Flesch-Kincaid Ease
34
Gunning-Fog Score
15.2
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
10.5
Dale-Chall Readability Score
6.9
Sprache Readability Score
2.3
Dale-Chall Difficult Word Score
7
Sprache Difficult Word Count
8

Warren Rudman

Well, we do, and let me comment on that comment. The curious thing about that comment was it was made at a time when the person making it could not have read this report. It was an instant comment, a typical defensive bureaucratic response by a public relations flack who should have been fired for what he said. He also said that we requested gold-plated telephones. If you consider we had two former chairmen of the Joint Chiefs of Staff, a former Secretary of State, and a Nobel laureate, I mean really these are serious people.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.94591
Harvard-IV (Relative)
0.42857
Positive
Harvard-IV (Absolute)
0.42857
Positive
Harvard-IV (Logit)
0.78846
VADER
-0.176
Leans Negative
Moderation
Harassment
24.1934657097
OpenAI Moderation v1 (007)
Violence
0.9754193015
OpenAI Moderation v1 (007)
Hate
0.6364906672
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0370394177
OpenAI Moderation v1 (007)
Violence > Graphic
0.0197656933
OpenAI Moderation v1 (007)
Self-Harm
0.000698732
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0005419329
OpenAI Moderation v1 (007)
Sexual
0.0003209295
OpenAI Moderation v1 (007)
Hate > Threatening
0.0001321318
OpenAI Moderation v1 (007)
Sexual > Minors
8.1145E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.75952E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Government > Heads of State
Score:
100
Magnitude:
0.089
Code:
11006006
Url:
https://cv.iptc.org/newscodes/subjectcode/11006006
Wikidata_id:
Q48352
Wikidata_label:
head of state
Source:
IPTC Subject
Topic:
Health
Score:
67.366
Magnitude:
17
Code:
3
Url:
https://fsc.al/cap-mc#3
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
9.1
Flesch-Kincaid Ease
64.2
Gunning-Fog Score
12.3
Coleman-Liau Index
9.9
SMOG Index
12
Automated Readability Index
8.9
Dale-Chall Readability Score
4.9
Sprache Readability Score
5
Dale-Chall Difficult Word Score
24
Sprache Difficult Word Count
27

Warren Rudman

Having said that, we gave a range and we say that we really don't know what that amount is. We know it is closer to our number than what is currently being spent. One of the reasons we think national standards ought to be mandated by the Congress as soon as possible is require national standards to be mandated, then you can add up the dollars and cents that it takes to meet those standards and decide how much you want to spend.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
2.70805
VADER
0.153
Leans Positive
Moderation
Harassment
4.9571733922
OpenAI Moderation v1 (007)
Violence
2.407300286
OpenAI Moderation v1 (007)
Harassment > Threatening
0.2334931633
OpenAI Moderation v1 (007)
Hate
0.0604353903
OpenAI Moderation v1 (007)
Violence > Graphic
0.0107920547
OpenAI Moderation v1 (007)
Hate > Threatening
0.0015528933
OpenAI Moderation v1 (007)
Self-Harm
0.0008231046
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001086618
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.35E-5
OpenAI Moderation v1 (007)
Sexual
3.25087E-5
OpenAI Moderation v1 (007)
Sexual > Minors
3.2782E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Politics
Score:
100
Magnitude:
0.06
Code:
11000000
Url:
https://cv.iptc.org/newscodes/subjectcode/11000000
Wikidata_id:
Q7163
Wikidata_label:
politics
Source:
IPTC Subject
Topic:
Civil Rights
Score:
28.55
Magnitude:
96
Code:
2
Url:
https://fsc.al/cap-mc#2
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
10.8
Flesch-Kincaid Ease
66.6
Gunning-Fog Score
14.4
Coleman-Liau Index
8.5
SMOG Index
12
Automated Readability Index
11.9
Dale-Chall Readability Score
3.7
Sprache Readability Score
5
Dale-Chall Difficult Word Score
12
Sprache Difficult Word Count
16

Warren Rudman

But, no, there is no question. We worked with your constituents. We worked with the National Association of Firemen, police chiefs, emergency responders, and your hospitals associations from all over this country. If you look in the back of this book, you will see all of the people we worked with. They are very serious people who are faced with a daunting task who feel they are hopelessly unprepared to deal with it today.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.60944
Harvard-IV (Relative)
0.14286
Leans Positive
Harvard-IV (Absolute)
0.14286
Leans Positive
Harvard-IV (Logit)
0.25131
VADER
-0.868
Very Negative
Moderation
Violence
0.0363048894
OpenAI Moderation v1 (007)
Harassment
0.004044739
OpenAI Moderation v1 (007)
Hate
0.000786932
OpenAI Moderation v1 (007)
Sexual
0.0004785167
OpenAI Moderation v1 (007)
Violence > Graphic
0.0002788905
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0002369346
OpenAI Moderation v1 (007)
Hate > Threatening
0.0001025204
OpenAI Moderation v1 (007)
Sexual > Minors
5.23605E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
6.2663E-6
OpenAI Moderation v1 (007)
Self-Harm
6.0183E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
6.202E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Disaster and Accident > Relief and Aid Organization
Score:
100
Magnitude:
0.18
Code:
3012000
Url:
https://cv.iptc.org/newscodes/subjectcode/03012000
Wikidata_id:
Q11858035
Wikidata_label:
emergency response
Source:
IPTC Subject
Topic:
International Affairs
Score:
35.267
Magnitude:
83
Code:
19
Url:
https://fsc.al/cap-mc#19
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
7.7
Flesch-Kincaid Ease
66.1
Gunning-Fog Score
10.2
Coleman-Liau Index
11.3
SMOG Index
11.7
Automated Readability Index
7.7
Dale-Chall Readability Score
4.1
Sprache Readability Score
3.8
Dale-Chall Difficult Word Score
16
Sprache Difficult Word Count
17

Warren Rudman

Now, before Senator Schumer came in, I made the observation that the kill-to-injured ratio in New York was backwards. In most instances where you have an event like this, you have thousands of people badly injured and a few hundred people who unfortunately die. In New York, it was quite different than that.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-2.19722
Harvard-IV (Relative)
-0.8
Very Negative
Harvard-IV (Absolute)
-0.8
Very Negative
Harvard-IV (Logit)
-1.84583
VADER
-0.863
Very Negative
Moderation
Harassment
0.0625243876
OpenAI Moderation v1 (007)
Violence > Graphic
0.0081061422
OpenAI Moderation v1 (007)
Violence
0.00369359