Fact
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Donald J. Trump
Remarks: Donald Trump Meets With National Council for the American Worker - September 17, 2018
StressLens
2 Topics
Entities
Moderation
9 Speakers
Entities
No entities found
Moderation
No moderation found
Speakers
Donald Trump Donald Trump said 289 sentences of a total of 423 sentences.
69%
Donald Trump said 3539 words of a total of 5601 words.
64%
Donald Trump talked 1159 seconds of a total of 1872 seconds.
62%
Ivanka Trump Ivanka Trump said 26 sentences of a total of 423 sentences.
7%
Ivanka Trump said 593 words of a total of 5601 words.
11%
Ivanka Trump talked 228 seconds of a total of 1872 seconds.
13%
Alexander Acosta Alexander Acosta said 29 sentences of a total of 423 sentences.
7%
Alexander Acosta said 405 words of a total of 5601 words.
8%
Alexander Acosta talked 157 seconds of a total of 1872 seconds.
9%
Mick Mulvaney Mick Mulvaney said 33 sentences of a total of 423 sentences.
8%
Mick Mulvaney said 391 words of a total of 5601 words.
7%
Mick Mulvaney talked 101 seconds of a total of 1872 seconds.
6%
Linda McMahon Linda McMahon said 15 sentences of a total of 423 sentences.
4%
Linda McMahon said 253 words of a total of 5601 words.
5%
Linda McMahon talked 90 seconds of a total of 1872 seconds.
5%
Kevin Hassett Kevin Hassett said 10 sentences of a total of 423 sentences.
3%
Kevin Hassett said 188 words of a total of 5601 words.
4%
Kevin Hassett talked 52 seconds of a total of 1872 seconds.
3%
Wilbur Ross Wilbur Ross said 8 sentences of a total of 423 sentences.
2%
Wilbur Ross said 145 words of a total of 5601 words.
3%
Wilbur Ross talked 58 seconds of a total of 1872 seconds.
4%
Question Question said 12 sentences of a total of 423 sentences.
3%
Question said 84 words of a total of 5601 words.
2%
Question talked 23 seconds of a total of 1872 seconds.
2%
Chris Liddell Chris Liddell said 1 sentences of a total of 423 sentences.
1%
Chris Liddell said 3 words of a total of 5601 words.
1%
Chris Liddell talked 1 seconds of a total of 1872 seconds.
1%
Full Transcript
Ivanka Trump
00:00:00-00:00:14 (14 sec)No StressLens
Thank you, Mr. President, on behalf of my co-chairs, Secretary Ross and Secretary Acosta, and Andrew Bremberg from -- Assistant to the President and -- at DPC here at the White House.
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
0.361
Somewhat Positive
Moderation
Sexual
0.0367038039
OpenAI Moderation v1 (007)
Violence
0.0032183616
OpenAI Moderation v1 (007)
Violence > Graphic
0.0029717714
OpenAI Moderation v1 (007)
Harassment
0.001380363
OpenAI Moderation v1 (007)
Sexual > Minors
0.0004039653
OpenAI Moderation v1 (007)
Hate
0.0003894794
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0003348823
OpenAI Moderation v1 (007)
Self-Harm
0.0001135603
OpenAI Moderation v1 (007)
Hate > Threatening
4.82898E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.03638E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.90348E-5
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
8
Flesch-Kincaid Ease
65.6
Gunning-Fog Score
6.2
Coleman-Liau Index
11
SMOG Index
11.3
Automated Readability Index
7.7
Dale-Chall Readability Score
7.4
Sprache Readability Score
3.4
Dale-Chall Difficult Word Score
13
Sprache Difficult Word Count
11
Ivanka Trump
00:00:14-00:00:43 (30 sec)No StressLens
This was the first interagency meeting of the National Council for the American Worker. It was incredibly productive. We talked about, obviously, the booming and robust economy that has created unprecedented opportunity and really creating tremendous potential for so many who have been on the sidelines of the economy and now entering the workforce. And we want to ensure that they're equipped with the skills and the training needed to thrive in our modern economy.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
2.19722
Harvard-IV (Relative)
0.73333
Very Positive
Harvard-IV (Absolute)
0.73333
Very Positive
Harvard-IV (Logit)
1.6864
VADER
0.89
Very Positive
Moderation
Sexual
0.0053201151
OpenAI Moderation v1 (007)
Violence
0.0022957327
OpenAI Moderation v1 (007)
Harassment
0.0006762308
OpenAI Moderation v1 (007)
Violence > Graphic
0.0004465413
OpenAI Moderation v1 (007)
Sexual > Minors
0.0003042626
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0002954544
OpenAI Moderation v1 (007)
Hate
0.0002636225
OpenAI Moderation v1 (007)
Hate > Threatening
4.0039E-6
OpenAI Moderation v1 (007)
Self-Harm
1.0771E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
6.255E-7
OpenAI Moderation v1 (007)
Self-Harm > Instructions
6.16E-8
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance > Macro Economics
Score:
100
Magnitude:
0.436
Code:
4008000
Url:
https://cv.iptc.org/newscodes/subjectcode/04008000
Wikidata_id:
Q39680
Wikidata_label:
macroeconomics
Source:
IPTC Subject
Topic:
Labor
Score:
88.832
Magnitude:
75
Code:
5
Url:
https://fsc.al/cap-mc#5
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
36.7
Gunning-Fog Score
14.4
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
29
Sprache Difficult Word Count
31
Ivanka Trump
00:00:43-00:01:32 (48 sec)No StressLens
So we are working towards developing what was in your executive order, which is the National Workforce Strategy. The most critical ways that we're doing that is leveraging data to create transparency around educational outcomes; to ensure that we're making available the data so that people know where the vacant jobs are located, where the best use of their time is spent; to ensure that they're getting the skills and credentials that will enable them to secure a family-sustaining job. And then, of course, working with the private sector to ensure that they step up to the plate and join this effort, and partner with us to invest in their own workforces.
Sentiment
Loughran McDonald (Relative)
0.33333
Somewhat Positive
Loughran McDonald (Absolute)
0.33333
Somewhat Positive
Loughran McDonald (Logit)
0.51083
Harvard-IV (Relative)
0.68421
Very Positive
Harvard-IV (Absolute)
0.68421
Very Positive
Harvard-IV (Logit)
1.5506
VADER
0.934
Very Positive
Moderation
Sexual
0.0084769315
OpenAI Moderation v1 (007)
Violence
0.0028437933
OpenAI Moderation v1 (007)
Violence > Graphic
0.0025009625
OpenAI Moderation v1 (007)
Harassment
0.0025004474
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0011548161
OpenAI Moderation v1 (007)
Sexual > Minors
0.0002687717
OpenAI Moderation v1 (007)
Hate
7.39136E-5
OpenAI Moderation v1 (007)
Self-Harm
1.04223E-5
OpenAI Moderation v1 (007)
Hate > Threatening
6.0628E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.8867E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.748E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Social Issue > Family
Score:
100
Magnitude:
0.07
Code:
14006000
Url:
https://cv.iptc.org/newscodes/subjectcode/14006000
Wikidata_id:
Q8436
Wikidata_label:
family
Source:
IPTC Subject
Topic:
Labor
Score:
84.559
Magnitude:
112
Code:
5
Url:
https://fsc.al/cap-mc#5
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
39.8
Gunning-Fog Score
19
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
33
Sprache Difficult Word Count
34
Ivanka Trump
00:01:32-00:01:48 (16 sec)No StressLens
So, since launch of this initiative, we have gotten over 100 companies to step up and sign our Pledge to America's Workers and commit to reskilling over 4.3 million American workers and offering them new jobs.
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
0.296
Slightly Positive
Moderation
Violence
0.0284636248
OpenAI Moderation v1 (007)
Sexual
0.0179556562
OpenAI Moderation v1 (007)
Violence > Graphic
0.0134703587
OpenAI Moderation v1 (007)
Harassment
0.0069312264
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0067206354
OpenAI Moderation v1 (007)
Hate
0.0006129655
OpenAI Moderation v1 (007)
Hate > Threatening
0.0001628918
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001305656
OpenAI Moderation v1 (007)
Self-Harm
1.35047E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
3.8584E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
6.282E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Labor > Employment
Score:
100
Magnitude:
0.242
Code:
9003000
Url:
https://cv.iptc.org/newscodes/subjectcode/09003000
Wikidata_id:
Q656365
Wikidata_label:
employment
Source:
IPTC Subject
Topic:
Labor
Score:
93.421
Magnitude:
34
Code:
5
Url:
https://fsc.al/cap-mc#5
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
36.3
Gunning-Fog Score
19
Coleman-Liau Index
11
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
5.7
Sprache Readability Score
5
Dale-Chall Difficult Word Score
9
Sprache Difficult Word Count
11
Ivanka Trump
00:01:48-00:02:03 (15 sec)No StressLens
So we're very excited about this initiative. It's just getting started. And this was a great kick-off meeting. So thank you for being here, and thank you for your engagement to ensuring that all Americans have an opportunity to thrive in this booming economy.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
2.19722
Harvard-IV (Relative)
0.66667
Very Positive
Harvard-IV (Absolute)
0.66667
Very Positive
Harvard-IV (Logit)
1.43508
VADER
0.934
Very Positive
Moderation
Harassment > Threatening
0.0145571481
OpenAI Moderation v1 (007)
Harassment
0.0117989046
OpenAI Moderation v1 (007)
Violence
0.0090944595
OpenAI Moderation v1 (007)
Sexual
0.0052703414
OpenAI Moderation v1 (007)
Violence > Graphic
0.0011055358
OpenAI Moderation v1 (007)
Hate
0.000368705
OpenAI Moderation v1 (007)
Sexual > Minors
0.0002055409
OpenAI Moderation v1 (007)
Hate > Threatening
4.75809E-5
OpenAI Moderation v1 (007)
Self-Harm
3.42518E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
4.9917E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.4152E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Social Issue > Family > Courtship
Score:
100
Magnitude:
0.192
Code:
14006006
Url:
https://cv.iptc.org/newscodes/subjectcode/14006006
Wikidata_id:
Q376596
Wikidata_label:
courtship
Source:
IPTC Subject
Topic:
Domestic Commerce
Score:
65.934
Magnitude:
44
Code:
15
Url:
https://fsc.al/cap-mc#15
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
7.4
Flesch-Kincaid Ease
61.9
Gunning-Fog Score
9.8
Coleman-Liau Index
11.4
SMOG Index
10.8
Automated Readability Index
6
Dale-Chall Readability Score
3.7
Sprache Readability Score
3.2
Dale-Chall Difficult Word Score
9
Sprache Difficult Word Count
14
Donald Trump
00:02:03-00:02:23 (20 sec)Strong (2.33)
1 of 53 paragraphs scored.Well, Ivanka, thank you very much. And I'm thrilled to join you for the inaugural meeting of the National Council for the American Worker. We've done some incredible numbers, and we'll have some of those folks speaking about that in a little while. But numbers that nobody thought -- at least this quickly -- we've been here less than two years, and nobody can believe the numbers they're seeing.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.09861
Harvard-IV (Relative)
0.71429
Very Positive
Harvard-IV (Absolute)
0.71429
Very Positive
Harvard-IV (Logit)
1.46634
VADER
0.827
Very Positive
Moderation
Harassment
0.0767856429
OpenAI Moderation v1 (007)
Sexual
0.0550584344
OpenAI Moderation v1 (007)
Hate
0.0051601011
OpenAI Moderation v1 (007)
Sexual > Minors
0.0049816525
OpenAI Moderation v1 (007)
Violence
0.0040307037
OpenAI Moderation v1 (007)
Violence > Graphic
0.0030455347
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0029739373
OpenAI Moderation v1 (007)
Self-Harm
3.37161E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.46852E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.77964E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.07718E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Civil Rights
Score:
31.751
Magnitude:
69
Code:
2
Url:
https://fsc.al/cap-mc#2
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
8.2
Flesch-Kincaid Ease
66.1
Gunning-Fog Score
9.7
Coleman-Liau Index
11.5
SMOG Index
11.3
Automated Readability Index
8.8
Dale-Chall Readability Score
3.2
Sprache Readability Score
4.2
Dale-Chall Difficult Word Score
10
Sprache Difficult Word Count
19
Donald Trump
00:02:23-00:02:38 (15 sec)Strong (2.174)
3 of 53 paragraphs scored.A lot of it's the spirit of the country. You look at all of the polling coming out, people are more optimistic about our country and about business than they have been in many, many years. In some cases, since the beginning of these polls.
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)
1.60944
VADER
0.505
Very Positive
Moderation
Harassment
0.0781514274
OpenAI Moderation v1 (007)
Hate
0.002569746
OpenAI Moderation v1 (007)
Violence > Graphic
0.0005415511
OpenAI Moderation v1 (007)
Sexual
0.0004343849
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0003158594
OpenAI Moderation v1 (007)
Violence
0.0002365936
OpenAI Moderation v1 (007)
Self-Harm
7.69208E-5
OpenAI Moderation v1 (007)
Sexual > Minors
3.4445E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.52042E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
8.5716E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.235E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Election > Poll
Score:
100
Magnitude:
0.122
Code:
11003008
Url:
https://cv.iptc.org/newscodes/subjectcode/11003008
Wikidata_id:
Q40231
Wikidata_label:
public election
Source:
IPTC Subject
Topic:
Domestic Commerce
Score:
41.9
Magnitude:
45
Code:
15
Url:
https://fsc.al/cap-mc#15
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
6.5
Flesch-Kincaid Ease
75.1
Gunning-Fog Score
7.8
Coleman-Liau Index
8.8
SMOG Index
7.9
Automated Readability Index
5.7
Dale-Chall Readability Score
2.1
Sprache Readability Score
3
Dale-Chall Difficult Word Score
4
Sprache Difficult Word Count
7
Donald Trump
00:02:38-00:02:50 (12 sec)Weak (1.184)
I also want to take a moment to send our thoughts to the incredible people of North Carolina, South Carolina, Virginia, and everyone else affected by Hurricane Florence.
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)
0.8473
VADER
-0.077
Neutral
Moderation
Violence
0.1256351592
OpenAI Moderation v1 (007)
Harassment
0.0078976562
OpenAI Moderation v1 (007)
Violence > Graphic
0.0041035371
OpenAI Moderation v1 (007)
Hate
0.0020631625
OpenAI Moderation v1 (007)
Sexual
0.0002315558
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0001781162
OpenAI Moderation v1 (007)
Self-Harm
5.94403E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.06931E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.04169E-5
OpenAI Moderation v1 (007)
Sexual > Minors
8.8639E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.9164E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Disaster and Accident > Disaster (General) > Natural Disasters
Score:
100
Magnitude:
0.114
Code:
3015001
Url:
https://cv.iptc.org/newscodes/subjectcode/03015001
Wikidata_id:
Q8065
Wikidata_label:
natural disaster
Source:
IPTC Subject
Topic:
Disaster and Accident > Meteorological Disaster > Windstorms
Score:
95
Magnitude:
0.109
Code:
3007001
Url:
https://cv.iptc.org/newscodes/subjectcode/03007001
Wikidata_id:
Q148942
Wikidata_label:
European windstorm
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
24.3
Gunning-Fog Score
15.5
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
5.3
Sprache Readability Score
4.7
Dale-Chall Difficult Word Score
7
Sprache Difficult Word Count
8
Donald Trump
00:02:50-00:03:12 (22 sec)Weak (1.144)
The federal government has dispatched nearly 20,000 federal and military personnel to assist in the response and recovery effort. These are incredible people. They're really putting their lives at stake and they're putting their lives on the line every single day. They're out there for many, many hours out of a 24-hour day, and they're working hard.
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
-0.103
Leans Negative
Moderation
Violence
0.1412183745
OpenAI Moderation v1 (007)
Violence > Graphic
0.0210337865
OpenAI Moderation v1 (007)
Harassment
0.0042882206
OpenAI Moderation v1 (007)
Sexual
0.0032482927
OpenAI Moderation v1 (007)
Hate
0.0027010405
OpenAI Moderation v1 (007)
Self-Harm
0.0003061569
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0002003905
OpenAI Moderation v1 (007)
Self-Harm > Intent
5.87397E-5
OpenAI Moderation v1 (007)
Sexual > Minors
3.13553E-5
OpenAI Moderation v1 (007)
Hate > Threatening
2.08032E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.5963E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Defense
Score:
100
Magnitude:
0.071
Code:
11001000
Url:
https://cv.iptc.org/newscodes/subjectcode/11001000
Wikidata_id:
Q17991228
Wikidata_label:
national defence
Source:
IPTC Subject
Topic:
Politics > Government
Score:
98
Magnitude:
0.069
Code:
11006000
Url:
https://cv.iptc.org/newscodes/subjectcode/11006000
Wikidata_id:
Q7188
Wikidata_label:
government
Source:
IPTC Subject
Topic:
Labor > Collective Contract > Contract Issue-Work Rules
Score:
97
Magnitude:
0.069
Code:
9002003
Url:
https://cv.iptc.org/newscodes/subjectcode/09002003
Source:
IPTC Subject
Topic:
Defense
Score:
95.848
Magnitude:
56
Code:
16
Url:
https://fsc.al/cap-mc#16
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
8.4
Flesch-Kincaid Ease
61.4
Gunning-Fog Score
13.4
Coleman-Liau Index
11.7
SMOG Index
12
Automated Readability Index
8
Dale-Chall Readability Score
3.9
Sprache Readability Score
3.9
Dale-Chall Difficult Word Score
12
Sprache Difficult Word Count
18
Donald Trump
00:03:12-00:03:24 (12 sec)Medium (1.672)
Every relevant federal resource is marshaled to help those in need. Many lives have been saved already. You've been covering it, actually, very fairly. But the job they're doing is incredible.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.09861
Harvard-IV (Relative)
0.42857
Positive
Harvard-IV (Absolute)
0.42857
Positive
Harvard-IV (Logit)
0.78846
VADER
0.671
Very Positive
Moderation
Violence
0.0191667641
OpenAI Moderation v1 (007)
Violence > Graphic
0.0066209112
OpenAI Moderation v1 (007)
Harassment
0.0037022171
OpenAI Moderation v1 (007)
Sexual
0.0005119594
OpenAI Moderation v1 (007)
Hate
0.0004771647
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0003220329
OpenAI Moderation v1 (007)
Self-Harm
0.0001037418
OpenAI Moderation v1 (007)
Sexual > Minors
7.93223E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
4.25105E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.12522E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.3464E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Social Welfare
Score:
23.651
Magnitude:
31
Code:
13
Url:
https://fsc.al/cap-mc#13
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
7.2
Flesch-Kincaid Ease
57.1
Gunning-Fog Score
10.8
Coleman-Liau Index
12
SMOG Index
10.8
Automated Readability Index
5.8
Dale-Chall Readability Score
6
Sprache Readability Score
2.7
Dale-Chall Difficult Word Score
11
Sprache Difficult Word Count
13
Donald Trump
00:03:24-00:03:34 (11 sec)Weak (1.038)
I just want to finish that by saying our administration is in constant contact with local and state authorities, and we will not rest until that job is done, and done perfectly.
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
0.671
Very Positive
Moderation
Violence
0.0769957434
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0694249582
OpenAI Moderation v1 (007)
Harassment
0.0163259552
OpenAI Moderation v1 (007)
Hate
0.0016202115
OpenAI Moderation v1 (007)
Sexual
0.0012428126
OpenAI Moderation v1 (007)
Violence > Graphic
0.0009835429
OpenAI Moderation v1 (007)
Hate > Threatening
4.55554E-5
OpenAI Moderation v1 (007)
Sexual > Minors
2.43884E-5
OpenAI Moderation v1 (007)
Self-Harm
7.0891E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
4.2177E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.05E-8
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Local Authority
Score:
100
Magnitude:
0.357
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:
91
Magnitude:
0.323
Code:
11012000
Url:
https://cv.iptc.org/newscodes/subjectcode/11012000
Wikidata_id:
Q1802419
Wikidata_label:
state government
Source:
IPTC Subject
Topic:
Government Operations
Score:
82.631
Magnitude:
32
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
50.1
Gunning-Fog Score
16.6
Coleman-Liau Index
10.5
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
5
Sprache Readability Score
5
Dale-Chall Difficult Word Score
7
Sprache Difficult Word Count
8
Donald Trump
00:03:34-00:04:06 (32 sec)Weak (1.054)
I just want to thank all of the first responders, the FEMA folks, and everybody else involved, including law enforcement. They have been incredible. And it's a very, very dangerous situation. You have collapses, you have slides; you have things that are happening that are very scary. That's why all of a sudden they're getting calls from people that we wish they didn't stay but they stayed. And they're going in and they're saving their lives. A lot of lives have been saved. So I want to thank them very, very much. We appreciate it.
Sentiment
Loughran McDonald (Relative)
-0.33333
Somewhat Negative
Loughran McDonald (Absolute)
-0.33333
Somewhat Negative
Loughran McDonald (Logit)
-0.51083
Harvard-IV (Relative)
-0.16667
Leans Negative
Harvard-IV (Absolute)
-0.16667
Leans Negative
Harvard-IV (Logit)
-0.31015
VADER
0.896
Very Positive
Moderation
Violence
0.0516989734
OpenAI Moderation v1 (007)
Violence > Graphic
0.01121483
OpenAI Moderation v1 (007)
Sexual
0.0049036746
OpenAI Moderation v1 (007)
Hate
0.0006992886
OpenAI Moderation v1 (007)
Self-Harm
0.0004301016
OpenAI Moderation v1 (007)
Harassment
0.0001357918
OpenAI Moderation v1 (007)
Sexual > Minors
6.01032E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
3.43507E-5
OpenAI Moderation v1 (007)
Harassment > Threatening
1.75925E-5
OpenAI Moderation v1 (007)
Hate > Threatening
3.4292E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
9.28E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Crime, Law and Justice > Police
Score:
100
Magnitude:
0.057
Code:
2003000
Url:
https://cv.iptc.org/newscodes/subjectcode/02003000
Wikidata_id:
Q35535
Wikidata_label:
police
Source:
IPTC Subject
Topic:
Defense
Score:
68.198
Magnitude:
95
Code:
16
Url:
https://fsc.al/cap-mc#16
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
5.2
Flesch-Kincaid Ease
76.8
Gunning-Fog Score
8.4
Coleman-Liau Index
10.2
SMOG Index
9.3
Automated Readability Index
4.7
Dale-Chall Readability Score
2.9
Sprache Readability Score
3.7
Dale-Chall Difficult Word Score
14
Sprache Difficult Word Count
22
Donald Trump
00:04:06-00:04:22 (16 sec)Medium (1.571)
We're here today to talk about workforce development. And I'd like to begin by thanking Ivanka and all of the folks around this table who have worked tirelessly in the devotion of ensuring that no American worker is going to be left behind.
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
0.66
Very Positive
Moderation
Sexual
0.0219316324
OpenAI Moderation v1 (007)
Harassment
0.0092477989
OpenAI Moderation v1 (007)
Violence
0.0080306803
OpenAI Moderation v1 (007)
Sexual > Minors
0.0023288621
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0017551851
OpenAI Moderation v1 (007)
Violence > Graphic
0.0011560447
OpenAI Moderation v1 (007)
Hate
0.000267707
OpenAI Moderation v1 (007)
Hate > Threatening
1.35267E-5
OpenAI Moderation v1 (007)
Self-Harm
1.12819E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
3.497E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
5.083E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Labor
Score:
92.974
Magnitude:
43
Code:
5
Url:
https://fsc.al/cap-mc#5
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
10.9
Flesch-Kincaid Ease
55.2
Gunning-Fog Score
12.3
Coleman-Liau Index
10.8
SMOG Index
12
Automated Readability Index
10.6
Dale-Chall Readability Score
4.7
Sprache Readability Score
4.4
Dale-Chall Difficult Word Score
10
Sprache Difficult Word Count
14
Donald Trump
00:04:22-00:04:38 (16 sec)Medium (1.977)
Our country is doing better possibly than -- we can say, in an economic front -- than it's ever done before. We don't want to leave workers behind. And that won't happen. Most are going with it and doing really well. Nobody is going to be left behind.
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
0.641
Very Positive
Moderation
Violence
0.0063190193
OpenAI Moderation v1 (007)
Harassment
0.0042621283
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0014545031
OpenAI Moderation v1 (007)
Hate
0.0004617149
OpenAI Moderation v1 (007)
Sexual
0.0003814439
OpenAI Moderation v1 (007)
Violence > Graphic
0.0001563492
OpenAI Moderation v1 (007)
Hate > Threatening
3.17772E-5
OpenAI Moderation v1 (007)
Sexual > Minors
1.51521E-5
OpenAI Moderation v1 (007)
Self-Harm
2.8708E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.0415E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
5.33E-8
OpenAI Moderation v1 (007)
Topics
Topic:
Labor > Employment
Score:
100
Magnitude:
0.318
Code:
9003000
Url:
https://cv.iptc.org/newscodes/subjectcode/09003000
Wikidata_id:
Q656365
Wikidata_label:
employment
Source:
IPTC Subject
Topic:
Labor
Score:
94.676
Magnitude:
48
Code:
5
Url:
https://fsc.al/cap-mc#5
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
4.2
Flesch-Kincaid Ease
81.6
Gunning-Fog Score
7.2
Coleman-Liau Index
8.6
SMOG Index
8.4
Automated Readability Index
2.7
Dale-Chall Readability Score
1.8
Sprache Readability Score
2.3
Dale-Chall Difficult Word Score
4
Sprache Difficult Word Count
7
Donald Trump
00:04:38-00:05:14 (36 sec)Medium (1.595)
I also want to thank Secretary Wilbur Ross, Secretary Alex Acosta, Director Mick Mulvaney, and Administrator Linda McMahon. They have been working along with Ivanka and a whole group of people -- large group of people -- on workforce development, and it's really making a big, big difference, because we have companies moving into our country like probably never before. In many cases, they're moving back. They left years ago and they're coming back because they all want a part of the action. Our country is hot and it's successful, and people want to be here.
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
0.866
Very Positive
Moderation
Sexual
0.1183613436
OpenAI Moderation v1 (007)
Harassment
0.0122410856
OpenAI Moderation v1 (007)
Sexual > Minors
0.002542268
OpenAI Moderation v1 (007)
Hate
0.0021951815
OpenAI Moderation v1 (007)
Violence > Graphic
0.000879376
OpenAI Moderation v1 (007)
Violence
0.0004294711
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0003648354
OpenAI Moderation v1 (007)
Self-Harm
2.67235E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
5.5973E-6
OpenAI Moderation v1 (007)
Hate > Threatening
1.245E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.569E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Crime, Law and Justice > Judiciary (System of Justice) > Court Administration
Score:
100
Magnitude:
0.052
Code:
2002003
Url:
https://cv.iptc.org/newscodes/subjectcode/02002003
Wikidata_id:
Q12666235
Wikidata_label:
National Courts Administration
Source:
IPTC Subject
Topic:
Labor
Score:
55.723
Magnitude:
96
Code:
5
Url:
https://fsc.al/cap-mc#5
Source:
Comparative Agendas
Topic:
Domestic Commerce
Score:
26.617
Magnitude:
96
Code:
15
Url:
https://fsc.al/cap-mc#15
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
10.9
Flesch-Kincaid Ease
50.1
Gunning-Fog Score
10.1
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
10.3
Dale-Chall Readability Score
4.1
Sprache Readability Score
4.8
Dale-Chall Difficult Word Score
19
Sprache Difficult Word Count
23
Donald Trump
00:05:14-00:05:32 (18 sec)Medium (1.708)
We've created more than 4 million jobs since the election, with more than 200,000 jobs created just last month alone. More Americans are employed than ever before in our country. In the history of our country, today -- as of today -- we have more people working than they have ever had working before.
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
0.25
Slightly Positive
Moderation
Harassment
0.0422298093
OpenAI Moderation v1 (007)
Violence
0.0046173383
OpenAI Moderation v1 (007)
Sexual
0.0028096552
OpenAI Moderation v1 (007)
Hate
0.0014410677
OpenAI Moderation v1 (007)
Violence > Graphic
0.0010107304
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0008649413
OpenAI Moderation v1 (007)
Sexual > Minors
5.53985E-5
OpenAI Moderation v1 (007)
Hate > Threatening
4.72164E-5
OpenAI Moderation v1 (007)
Self-Harm
9.9201E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
5.579E-7
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.451E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Labor > Employment
Score:
100
Magnitude:
0.256
Code:
9003000
Url:
https://cv.iptc.org/newscodes/subjectcode/09003000
Wikidata_id:
Q656365
Wikidata_label:
employment
Source:
IPTC Subject
Topic:
Labor
Score:
94.075
Magnitude:
52
Code:
5
Url:
https://fsc.al/cap-mc#5
Source:
Comparative Agendas
Topic:
Politics > Election
Score:
50
Magnitude:
0.129
Code:
11003000
Url:
https://cv.iptc.org/newscodes/subjectcode/11003000
Wikidata_id:
Q40231
Wikidata_label:
public election
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
7.8
Flesch-Kincaid Ease
70.8
Gunning-Fog Score
9.3
Coleman-Liau Index
9.7
SMOG Index
9.9
Automated Readability Index
7.8
Dale-Chall Readability Score
3
Sprache Readability Score
3.5
Dale-Chall Difficult Word Score
7
Sprache Difficult Word Count
8
Donald Trump
00:05:32-00:06:07 (35 sec)No Signal (0.793)
Middle class income reached its all-time high. That just came out, that number. And it reached it by all a lot. Jobless claims are at their lowest level in nearly 50 years. Almost 3.9 million Americans have been lifted off food stamps since the election. Now, that's a big, beautiful number. There are a record number of job openings, and the number of workers quitting their current jobs has hit at an all-time high. Now, that doesn't sound good, but actually, it is good. They're leaving jobs because they're getting better jobs and they're getting more money.
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)
0.36772
VADER
0.877
Very Positive
Moderation
Harassment
0.1102784416
OpenAI Moderation v1 (007)
Hate
0.0096271273
OpenAI Moderation v1 (007)
Violence
0.0075700125
OpenAI Moderation v1 (007)
Sexual
0.0057941557
OpenAI Moderation v1 (007)
Self-Harm
0.0048444592
OpenAI Moderation v1 (007)
Violence > Graphic
0.0040005547
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0008231894
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0007968917
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0001411969
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001306811
OpenAI Moderation v1 (007)
Hate > Threatening
2.00273E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Labor > Employment
Score:
100
Magnitude:
0.195
Code:
9003000
Url:
https://cv.iptc.org/newscodes/subjectcode/09003000
Wikidata_id:
Q656365
Wikidata_label:
employment
Source:
IPTC Subject
Topic:
Labor
Score:
95.969
Magnitude:
95
Code:
5
Url:
https://fsc.al/cap-mc#5
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
4.6
Flesch-Kincaid Ease
82
Gunning-Fog Score
6.4
Coleman-Liau Index
10.2
SMOG Index
7.9
Automated Readability Index
4.9
Dale-Chall Readability Score
2.6
Sprache Readability Score
3.9
Dale-Chall Difficult Word Score
13
Sprache Difficult Word Count
23
Donald Trump
00:06:07-00:06:10 (4 sec)No Signal (0.018)
So that's a statistic, Linda, that I wouldn't say sounds great, but it is great.
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
0.735
Very Positive
Moderation
Harassment
0.1342976931
OpenAI Moderation v1 (007)
Sexual
0.0567513867
OpenAI Moderation v1 (007)
Hate
0.0091937938
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0087423592
OpenAI Moderation v1 (007)
Violence
0.0078795871
OpenAI Moderation v1 (007)
Self-Harm
0.0037844402
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0021447077
OpenAI Moderation v1 (007)
Sexual > Minors
0.0018973758
OpenAI Moderation v1 (007)
Violence > Graphic
0.0016989554
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0013014524
OpenAI Moderation v1 (007)
Hate > Threatening
2.399E-5
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
5.2
Flesch-Kincaid Ease
84.5
Gunning-Fog Score
8.7
Coleman-Liau Index
7.7
SMOG Index
9
Automated Readability Index
4.9
Dale-Chall Readability Score
2.8
Sprache Readability Score
2.7
Dale-Chall Difficult Word Score
2
Sprache Difficult Word Count
3
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
0.656
Very Positive
Moderation
Sexual
0.0130992077
OpenAI Moderation v1 (007)
Violence
0.0040302544
OpenAI Moderation v1 (007)
Violence > Graphic
0.0019593577
OpenAI Moderation v1 (007)
Self-Harm
0.0002117403
OpenAI Moderation v1 (007)
Self-Harm > Intent
8.8124E-5
OpenAI Moderation v1 (007)
Harassment
5.17899E-5
OpenAI Moderation v1 (007)
Sexual > Minors
2.41055E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.29752E-5
OpenAI Moderation v1 (007)
Harassment > Threatening
1.96997E-5
OpenAI Moderation v1 (007)
Hate
1.06219E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.174E-7
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
0.7
Flesch-Kincaid Ease
97
Gunning-Fog Score
1.6
Coleman-Liau Index
3.3
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
Donald Trump
00:06:11-00:06:40 (29 sec)Weak (1.383)
They're all looking for better jobs. They're going up and they're getting more money. Before my election, less than half of the manufacturers were optimistic about the future. Today -- so think of that: less than half, meaning they weren't very optimistic -- today's number is exactly 95 percent, and I expect that's going to go higher too. That's a big, big number because people go out and they invest because they're optimistic about our country. And that means jobs and it means a lot of other things.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
2.19722
Harvard-IV (Relative)
0.6
Very Positive
Harvard-IV (Absolute)
0.6
Very Positive
Harvard-IV (Logit)
1.09861
VADER
0.768
Very Positive
Moderation
Harassment
0.0428138854
OpenAI Moderation v1 (007)
Sexual
0.0028350361
OpenAI Moderation v1 (007)
Hate
0.0011584142
OpenAI Moderation v1 (007)
Violence
0.0008819131
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0007913858
OpenAI Moderation v1 (007)
Violence > Graphic
0.0007306149
OpenAI Moderation v1 (007)
Sexual > Minors
3.04159E-5
OpenAI Moderation v1 (007)
Self-Harm
1.23816E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
4.4944E-6
OpenAI Moderation v1 (007)
Hate > Threatening
2.7482E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.7037E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Election
Score:
100
Magnitude:
0.219
Code:
11003000
Url:
https://cv.iptc.org/newscodes/subjectcode/11003000
Wikidata_id:
Q40231
Wikidata_label:
public election
Source:
IPTC Subject
Topic:
Labor
Score:
79.803
Magnitude:
87
Code:
5
Url:
https://fsc.al/cap-mc#5
Source:
Comparative Agendas
Topic:
Sport > Soccer
Score:
53
Magnitude:
0.115
Code:
15054000
Url:
https://cv.iptc.org/newscodes/subjectcode/15054000
Wikidata_id:
Q2736
Wikidata_label:
association football
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
7.3
Flesch-Kincaid Ease
68.3
Gunning-Fog Score
8.5
Coleman-Liau Index
11.1
SMOG Index
9
Automated Readability Index
7.3
Dale-Chall Readability Score
3.6
Sprache Readability Score
3.8
Dale-Chall Difficult Word Score
16
Sprache Difficult Word Count
17
Donald Trump
00:06:40-00:06:55 (15 sec)Weak (1.237)
Thanks to the work of everybody around this room, employers across the country have taken our Pledge to American Workers and they've committed to training more than 4.2 million American workers for American jobs.
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
0.612
Very Positive
Moderation
Sexual
0.0315055804
OpenAI Moderation v1 (007)
Harassment
0.0246714364
OpenAI Moderation v1 (007)
Violence
0.0145289843
OpenAI Moderation v1 (007)
Violence > Graphic
0.0045951336
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0036333764
OpenAI Moderation v1 (007)
Hate
0.0009385994
OpenAI Moderation v1 (007)
Sexual > Minors
0.0004741079
OpenAI Moderation v1 (007)
Hate > Threatening
8.8268E-5
OpenAI Moderation v1 (007)
Self-Harm
1.16868E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.6606E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.207E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Labor > Employment
Score:
100
Magnitude:
0.327
Code:
9003000
Url:
https://cv.iptc.org/newscodes/subjectcode/09003000
Wikidata_id:
Q656365
Wikidata_label:
employment
Source:
IPTC Subject
Topic:
Labor
Score:
94.492
Magnitude:
33
Code:
5
Url:
https://fsc.al/cap-mc#5
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
25.5
Gunning-Fog Score
18.3
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
8
Sprache Difficult Word Count
11
Donald Trump
00:06:55-00:07:28 (33 sec)Medium (1.61)
We have so many companies that are just incredible, what they're doing. The money they're spending on the training programs are incredible. Frankly, you wouldn't be able to do it through government, the quality of training. You wouldn't be able to do it as a government program. These companies are really something. And you know the list of companies -- they're really a "who's who" of companies in this world, in our world and in our country. And I want to thank them. A couple of them have been picking up training for over 900,000 people. That's really something to see.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.60944
Harvard-IV (Relative)
0.6
Very Positive
Harvard-IV (Absolute)
0.6
Very Positive
Harvard-IV (Logit)
1.27297
VADER
0.422
Positive
Moderation
Harassment
0.0203458214
OpenAI Moderation v1 (007)
Sexual
0.0113103692
OpenAI Moderation v1 (007)
Hate
0.0035696055
OpenAI Moderation v1 (007)
Violence > Graphic
0.0028254788
OpenAI Moderation v1 (007)
Violence
0.0025489533
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0003209313
OpenAI Moderation v1 (007)
Sexual > Minors
7.26799E-5
OpenAI Moderation v1 (007)
Hate > Threatening
2.21025E-5
OpenAI Moderation v1 (007)
Self-Harm
8.9223E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
8.2292E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.0939E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Labor > Advanced Training
Score:
100
Magnitude:
0.43
Code:
9014000
Url:
https://cv.iptc.org/newscodes/subjectcode/09014000
Wikidata_id:
Q828748
Wikidata_label:
continuing education
Source:
IPTC Subject
Topic:
Education
Score:
86.135
Magnitude:
100
Code:
6
Url:
https://fsc.al/cap-mc#6
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
6
Flesch-Kincaid Ease
72.3
Gunning-Fog Score
10
Coleman-Liau Index
10
SMOG Index
10.4
Automated Readability Index
4.8
Dale-Chall Readability Score
2.6
Sprache Readability Score
3.2
Dale-Chall Difficult Word Score
13
Sprache Difficult Word Count
14
Donald Trump
00:07:28-00:07:52 (24 sec)Weak (1.241)
The task of the council is to develop a national strategy to ensure that all American students and workers have access to affordable results-driven education, preparing them to fill the jobs of the future and to make a great, great living; to make, frankly, more money than they've ever made before; and to enjoy their job more than they've ever done before. It's very exciting.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
2.19722
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
3.04452
VADER
0.955
Very Positive
Moderation
Harassment
0.0371412025
OpenAI Moderation v1 (007)
Sexual
0.0182536402
OpenAI Moderation v1 (007)
Harassment > Threatening
0.004416539
OpenAI Moderation v1 (007)
Violence
0.0035004556
OpenAI Moderation v1 (007)
Sexual > Minors
0.0032062366
OpenAI Moderation v1 (007)
Hate
0.0025211832
OpenAI Moderation v1 (007)
Violence > Graphic
0.0017229519
OpenAI Moderation v1 (007)
Self-Harm
5.59402E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.80712E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
3.72184E-5
OpenAI Moderation v1 (007)
Hate > Threatening
4.951E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Labor > Employment
Score:
100
Magnitude:
0.225
Code:
9003000
Url:
https://cv.iptc.org/newscodes/subjectcode/09003000
Wikidata_id:
Q656365
Wikidata_label:
employment
Source:
IPTC Subject
Topic:
Education
Score:
95.637
Magnitude:
65
Code:
6
Url:
https://fsc.al/cap-mc#6
Source:
Comparative Agendas
Topic:
Education > Teaching and Learning > Students
Score:
76
Magnitude:
0.171
Code:
5010001
Url:
https://cv.iptc.org/newscodes/subjectcode/05010001
Wikidata_id:
Q48282
Wikidata_label:
student
Source:
IPTC Subject
Topic:
Education
Score:
65
Magnitude:
0.147
Code:
5000000
Url:
https://cv.iptc.org/newscodes/subjectcode/05000000
Wikidata_id:
Q8434
Wikidata_label:
education
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
42.6
Gunning-Fog Score
17.4
Coleman-Liau Index
11.1
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
21
Donald Trump
00:07:52-00:08:36 (43 sec)No StressLens
In this mission, we are partnering with the private sector to identify the most innovative on-the-job training programs that will provide our citizens with the skills that they need to thrive and to grow. We believe in vocational education -- very important word. I've asked to be -- to have that word brought back. When I was young, I remember seeing schools -- they were called "vocational schools," where people that had great talent at mechanical things, fixing engines, and laying brick, and plumbing and electricity, and electric. These were incredibly talented people. People going to college with me didn't have their talent for that -- and never would have their talent for that.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.94591
Harvard-IV (Relative)
0.73333
Very Positive
Harvard-IV (Absolute)
0.73333
Very Positive
Harvard-IV (Logit)
1.6864
VADER
0.951
Very Positive
Moderation
Harassment
0.6207969505
OpenAI Moderation v1 (007)
Violence
0.0359738013
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0058157122
OpenAI Moderation v1 (007)
Hate
0.0054486976
OpenAI Moderation v1 (007)
Sexual
0.0042687345
OpenAI Moderation v1 (007)
Violence > Graphic
0.003080217
OpenAI Moderation v1 (007)
Sexual > Minors
0.0015563564
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.00083444
OpenAI Moderation v1 (007)
Self-Harm
0.0001519704
OpenAI Moderation v1 (007)
Self-Harm > Instructions
5.34632E-5
OpenAI Moderation v1 (007)
Hate > Threatening
2.16943E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Education > School
Score:
100
Magnitude:
0.132
Code:
5005000
Url:
https://cv.iptc.org/newscodes/subjectcode/05005000
Wikidata_id:
Q3914
Wikidata_label:
school
Source:
IPTC Subject
Topic:
Education
Score:
76
Magnitude:
0.1
Code:
5000000
Url:
https://cv.iptc.org/newscodes/subjectcode/05000000
Wikidata_id:
Q8434
Wikidata_label:
education
Source:
IPTC Subject
Topic:
Education
Score:
66.783
Magnitude:
114
Code:
6
Url:
https://fsc.al/cap-mc#6
Source:
Comparative Agendas
Topic:
Labor > Employment > Occupations
Score:
61
Magnitude:
0.08
Code:
9003004
Url:
https://cv.iptc.org/newscodes/subjectcode/09003004
Wikidata_id:
Q12737077
Wikidata_label:
occupation
Source:
IPTC Subject
Topic:
Labor
Score:
25.439
Magnitude:
114
Code:
5
Url:
https://fsc.al/cap-mc#5
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
9.9
Flesch-Kincaid Ease
57.2
Gunning-Fog Score
13.2
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
10.9
Dale-Chall Readability Score
4.6
Sprache Readability Score
5
Dale-Chall Difficult Word Score
26
Sprache Difficult Word Count
30
Donald Trump
00:08:36-00:09:02 (26 sec)Medium (1.548)
So, vocational is very important, and these are some of the best jobs in our country. So we believe in vocational education. We believe in lifelong learning. And we believe in saving taxpayer dollars while producing greater results for our workers. That is having the private sector train millions and millions of people for future jobs. Because it's different; jobs are much different today than they were even 10 years ago.
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
0.83
Very Positive
Moderation
Harassment
0.0208361933
OpenAI Moderation v1 (007)
Violence > Graphic
0.005835222
OpenAI Moderation v1 (007)
Violence
0.0057305238
OpenAI Moderation v1 (007)
Sexual
0.0024802039
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0007640924
OpenAI Moderation v1 (007)
Sexual > Minors
0.0005536296
OpenAI Moderation v1 (007)
Hate
0.0004260517
OpenAI Moderation v1 (007)
Self-Harm > Intent
4.10334E-5
OpenAI Moderation v1 (007)
Self-Harm
3.09917E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.80812E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.31145E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Labor > Employment > Occupations
Score:
100
Magnitude:
0.373
Code:
9003004
Url:
https://cv.iptc.org/newscodes/subjectcode/09003004
Wikidata_id:
Q12737077
Wikidata_label:
occupation
Source:
IPTC Subject
Topic:
Education
Score:
88.304
Magnitude:
70
Code:
6
Url:
https://fsc.al/cap-mc#6
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
8.1
Flesch-Kincaid Ease
57.8
Gunning-Fog Score
10.9
Coleman-Liau Index
12
SMOG Index
11
Automated Readability Index
7.2
Dale-Chall Readability Score
3.3
Sprache Readability Score
3.3
Dale-Chall Difficult Word Score
12
Sprache Difficult Word Count
15
Donald Trump
00:09:02-00:09:22 (20 sec)Strong (2.023)
So I want to thank every member of the National Council for the American Worker. Really, a great group of people. And I want to thank you very much for being here and working so hard. Together we will build the greatest vocational programs so that American workers can follow their dreams, earn a great living, and enjoy a truly rewarding career.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
2.56495
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
2.56495
VADER
0.985
Very Positive
Moderation
Sexual
0.0071325565
OpenAI Moderation v1 (007)
Harassment
0.0060970353
OpenAI Moderation v1 (007)
Violence
0.0043869961
OpenAI Moderation v1 (007)
Hate
0.0009472554
OpenAI Moderation v1 (007)
Harassment > Threatening
0.000880571
OpenAI Moderation v1 (007)
Sexual > Minors
0.0003229694
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0002397072
OpenAI Moderation v1 (007)
Violence > Graphic
0.000207537
OpenAI Moderation v1 (007)
Self-Harm
0.0001572095
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.54727E-5
OpenAI Moderation v1 (007)
Hate > Threatening
2.71343E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Labor > Employment
Score:
100
Magnitude:
0.138
Code:
9003000
Url:
https://cv.iptc.org/newscodes/subjectcode/09003000
Wikidata_id:
Q656365
Wikidata_label:
employment
Source:
IPTC Subject
Topic:
Labor
Score:
93.075
Magnitude:
62
Code:
5
Url:
https://fsc.al/cap-mc#5
Source:
Comparative Agendas
Topic:
Labor > Employee
Score:
54
Magnitude:
0.074
Code:
9016000
Url:
https://cv.iptc.org/newscodes/subjectcode/09016000
Wikidata_id:
Q703534
Wikidata_label:
employee
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
8.7
Flesch-Kincaid Ease
60.1
Gunning-Fog Score
9.4
Coleman-Liau Index
10.6
SMOG Index
11.3
Automated Readability Index
7.4
Dale-Chall Readability Score
3.3
Sprache Readability Score
3.8
Dale-Chall Difficult Word Score
10
Sprache Difficult Word Count
16
Donald Trump
00:09:22-00:09:45 (23 sec)Weak (1.457)
I just want to say that so many companies are coming back, and many of these companies have agreed to train their worker so that we don't even have to get government involved, other than making the process a little bit easier and a little bit better. It's a really great thing to see. Millions and millions of jobs. And these are highly skilled jobs, in many cases.
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)
0.63599
VADER
0.898
Very Positive
Moderation
Harassment
0.0115632422
OpenAI Moderation v1 (007)
Violence
0.0077454075
OpenAI Moderation v1 (007)
Violence > Graphic
0.0075263059
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0010130995
OpenAI Moderation v1 (007)
Hate
0.0008572688
OpenAI Moderation v1 (007)
Sexual
0.0004978586
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001650831
OpenAI Moderation v1 (007)
Self-Harm
0.0001411886
OpenAI Moderation v1 (007)
Hate > Threatening
3.51068E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.61106E-5
OpenAI Moderation v1 (007)
Sexual > Minors
2.01099E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Labor > Employment
Score:
100
Magnitude:
0.1
Code:
9003000
Url:
https://cv.iptc.org/newscodes/subjectcode/09003000
Wikidata_id:
Q656365
Wikidata_label:
employment
Source:
IPTC Subject
Topic:
Labor
Score:
94.742
Magnitude:
68
Code:
5
Url:
https://fsc.al/cap-mc#5
Source:
Comparative Agendas
Topic:
Economy, Business and Finance > Macro Economics > Business Enterprises
Score:
92
Magnitude:
0.092
Code:
4008034
Url:
https://cv.iptc.org/newscodes/subjectcode/04008034
Wikidata_id:
Q4830453
Wikidata_label:
business
Source:
IPTC Subject
Topic:
Politics > Government
Score:
88
Magnitude:
0.088
Code:
11006000
Url:
https://cv.iptc.org/newscodes/subjectcode/11006000
Wikidata_id:
Q7188
Wikidata_label:
government
Source:
IPTC Subject
Topic:
Science and Technology > Electronics
Score:
80
Magnitude:
0.08
Code:
13016000
Url:
https://cv.iptc.org/newscodes/subjectcode/13016000
Wikidata_id:
Q126095
Wikidata_label:
electronic engineering
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
8
Flesch-Kincaid Ease
67.7
Gunning-Fog Score
10.9
Coleman-Liau Index
9.2
SMOG Index
10.8
Automated Readability Index
7.1
Dale-Chall Readability Score
2.2
Sprache Readability Score
3.7
Dale-Chall Difficult Word Score
6
Sprache Difficult Word Count
12
Donald Trump
00:09:45-00:10:16 (31 sec)Medium (1.851)
So I want to thank you all. I think I might just go around and ask a couple of the folks at the table where things are going, where they see it. We have a tremendously talented guy, Kevin Hassett, who has, along with me, predicted where we'd be now. And as you know, we hit 4.1 GDP, and that was adjusted upward to 4.2. And I think we're going to have a lot of great quarters, hopefully even much higher than that.
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)
2.83321
VADER
0.929
Very Positive
Moderation
Violence
0.0107882159
OpenAI Moderation v1 (007)
Sexual
0.0083468258
OpenAI Moderation v1 (007)
Harassment
0.0069360263
OpenAI Moderation v1 (007)
Violence > Graphic
0.0029374583
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0028625351
OpenAI Moderation v1 (007)
Hate
0.000299771
OpenAI Moderation v1 (007)
Self-Harm
0.0002448818
OpenAI Moderation v1 (007)
Sexual > Minors
0.0002220776
OpenAI Moderation v1 (007)
Self-Harm > Intent
5.87167E-5
OpenAI Moderation v1 (007)
Hate > Threatening
2.6834E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.30724E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Macroeconomics
Score:
56.52
Magnitude:
81
Code:
1
Url:
https://fsc.al/cap-mc#1
Source:
Comparative Agendas
Topic:
Domestic Commerce
Score:
30.074
Magnitude:
81
Code:
15
Url:
https://fsc.al/cap-mc#15
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
5.4
Flesch-Kincaid Ease
86
Gunning-Fog Score
9
Coleman-Liau Index
6.3
SMOG Index
9
Automated Readability Index
4.5
Dale-Chall Readability Score
2.7
Sprache Readability Score
4.1
Dale-Chall Difficult Word Score
10
Sprache Difficult Word Count
17
Donald Trump
00:10:16-00:10:33 (17 sec)Medium (1.523)
But if we would have said during the campaign that we were going to be in the fours, people would have sort of smiled or laughed, or said we're not -- you know, we must be kidding. If you look at where we were, we were really at one, and we were heading down. I think we would have been minus-four or five, because that's where we were.
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
0.664
Very Positive
Moderation
Harassment
0.2523848088
OpenAI Moderation v1 (007)
Violence
0.0177430018
OpenAI Moderation v1 (007)
Hate
0.0045668952
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0021395677
OpenAI Moderation v1 (007)
Violence > Graphic
0.0011887508
OpenAI Moderation v1 (007)
Sexual
0.0003706931
OpenAI Moderation v1 (007)
Self-Harm
0.0003489878
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0002050949
OpenAI Moderation v1 (007)
Sexual > Minors
5.81561E-5
OpenAI Moderation v1 (007)
Hate > Threatening
5.05353E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.66752E-5
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
6.6
Flesch-Kincaid Ease
88
Gunning-Fog Score
9.7
Coleman-Liau Index
6.3
SMOG Index
6.6
Automated Readability Index
7.6
Dale-Chall Readability Score
2.5
Sprache Readability Score
4.2
Dale-Chall Difficult Word Score
6
Sprache Difficult Word Count
10
Donald Trump
00:10:33-00:10:50 (17 sec)Weak (1.483)
We loosened up regulations. We have better regulations. But -- and frankly, I think, in many ways, Kevin, they're tougher than they were. But you don't have to go through 10 years of a process and then find out you can or can't do something. So it's been a great thing. Kevin, could you just say a few words about the economy?
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)
1.60944
VADER
0.84
Very Positive
Moderation
Harassment
0.0429441716
OpenAI Moderation v1 (007)
Hate
0.0080451209
OpenAI Moderation v1 (007)
Violence > Graphic
0.0023006003
OpenAI Moderation v1 (007)
Sexual
0.0017099694
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0013223303
OpenAI Moderation v1 (007)
Violence
0.0012429596
OpenAI Moderation v1 (007)
Sexual > Minors
0.0002908416
OpenAI Moderation v1 (007)
Self-Harm
0.0001251578
OpenAI Moderation v1 (007)
Self-Harm > Intent
4.2049E-6
OpenAI Moderation v1 (007)
Hate > Threatening
2.8185E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.635E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Government Operations
Score:
31.6
Magnitude:
61
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
3.9
Flesch-Kincaid Ease
85.6
Gunning-Fog Score
6.7
Coleman-Liau Index
7.9
SMOG Index
7.9
Automated Readability Index
2.6
Dale-Chall Readability Score
2.8
Sprache Readability Score
2.5
Dale-Chall Difficult Word Score
9
Sprache Difficult Word Count
8
Kevin Hassett
00:10:50-00:11:06 (15 sec)No StressLens
Sure, sir. And I think that one way to think about the labor market right now is that, in January of 2017, the Congressional Budget Office forecasted how many jobs we would make this year, just a year ahead. And so far, this year, we're coming in at about double that pace.
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
0.318
Somewhat Positive
Moderation
Sexual
0.0047127422
OpenAI Moderation v1 (007)
Violence
0.003055848
OpenAI Moderation v1 (007)
Violence > Graphic
0.0021918138
OpenAI Moderation v1 (007)
Harassment
0.0016239132
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0014663358
OpenAI Moderation v1 (007)
Sexual > Minors
9.90659E-5
OpenAI Moderation v1 (007)
Hate
8.67094E-5
OpenAI Moderation v1 (007)
Hate > Threatening
5.34275E-5
OpenAI Moderation v1 (007)
Self-Harm
3.9413E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.7975E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.3205E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Labor > Employment > Labor Market
Score:
100
Magnitude:
0.178
Code:
9003001
Url:
https://cv.iptc.org/newscodes/subjectcode/09003001
Wikidata_id:
Q305186
Wikidata_label:
labor market
Source:
IPTC Subject
Topic:
Labor
Score:
95.144
Magnitude:
51
Code:
5
Url:
https://fsc.al/cap-mc#5
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
7.1
Flesch-Kincaid Ease
75.4
Gunning-Fog Score
7.7
Coleman-Liau Index
7.7
SMOG Index
9
Automated Readability Index
6.1
Dale-Chall Readability Score
2.4
Sprache Readability Score
3.7
Dale-Chall Difficult Word Score
5
Sprache Difficult Word Count
12
Kevin Hassett
00:11:06-00:11:21 (16 sec)No StressLens
And I think that the sense of this table is that presents us with a historic opportunity, because the marginalized person -- the person who was discouraged, the person who was forgotten, that you spoke to in the campaign -- if you give them skills in a weak economy, they don't necessarily get a job.
Sentiment
Loughran McDonald (Relative)
-0.33333
Somewhat Negative
Loughran McDonald (Absolute)
-0.33333
Somewhat Negative
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
-0.572
Very Negative
Moderation
Harassment
0.0237655899
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0031520452
OpenAI Moderation v1 (007)
Violence
0.0014404012
OpenAI Moderation v1 (007)
Hate
0.0003664835
OpenAI Moderation v1 (007)
Sexual
0.0001191065
OpenAI Moderation v1 (007)
Violence > Graphic
3.98135E-5
OpenAI Moderation v1 (007)
Sexual > Minors
3.4159E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.09786E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
5.9747E-6
OpenAI Moderation v1 (007)
Self-Harm
4.1892E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.502E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance > Economy (General)
Score:
100
Magnitude:
0.063
Code:
4017000
Url:
https://cv.iptc.org/newscodes/subjectcode/04017000
Wikidata_id:
Q159810
Wikidata_label:
economy
Source:
IPTC Subject
Topic:
Civil Rights
Score:
92.083
Magnitude:
55
Code:
2
Url:
https://fsc.al/cap-mc#2
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
23.7
Gunning-Fog Score
19
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
9
Sprache Difficult Word Count
11
Kevin Hassett
00:11:21-00:11:37 (16 sec)No StressLens
But if we can get them skills now, then we can reconnect them to the labor force and to society. And that's why our job here is urgent, and we're really pursuing it with an amount of vigor that even a bunch of my staff are at a vocational school today to study this so that we can do a better job, sir.
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
0.7
Very Positive
Moderation
Harassment > Threatening
0.0191399362
OpenAI Moderation v1 (007)
Harassment
0.0178120928
OpenAI Moderation v1 (007)
Violence
0.0145874117
OpenAI Moderation v1 (007)
Violence > Graphic
0.0037407193
OpenAI Moderation v1 (007)
Sexual
0.0035002249
OpenAI Moderation v1 (007)
Hate
0.0005340753
OpenAI Moderation v1 (007)
Sexual > Minors
0.0002662134
OpenAI Moderation v1 (007)
Hate > Threatening
4.0273E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
3.53167E-5
OpenAI Moderation v1 (007)
Self-Harm
1.70187E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
6.15E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Labor > Employment > Occupations
Score:
100
Magnitude:
0.169
Code:
9003004
Url:
https://cv.iptc.org/newscodes/subjectcode/09003004
Wikidata_id:
Q12737077
Wikidata_label:
occupation
Source:
IPTC Subject
Topic:
Education > School
Score:
65
Magnitude:
0.111
Code:
5005000
Url:
https://cv.iptc.org/newscodes/subjectcode/05005000
Wikidata_id:
Q3914
Wikidata_label:
school
Source:
IPTC Subject
Topic:
Labor
Score:
56.316
Magnitude:
63
Code:
5
Url:
https://fsc.al/cap-mc#5
Source:
Comparative Agendas
Topic:
Education
Score:
34.666
Magnitude:
63
Code:
6
Url:
https://fsc.al/cap-mc#6
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
11.9
Flesch-Kincaid Ease
66.1
Gunning-Fog Score
15.1
Coleman-Liau Index
6
SMOG Index
11.3
Automated Readability Index
11.7
Dale-Chall Readability Score
4.1
Sprache Readability Score
5
Dale-Chall Difficult Word Score
10
Sprache Difficult Word Count
16
Donald Trump
00:11:37-00:11:40 (2 sec)No StressLens
And the economic numbers are even much better than we thought.
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
0.44
Positive
Moderation
Harassment
0.0025936124
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0013756531
OpenAI Moderation v1 (007)
Sexual
0.0012635076
OpenAI Moderation v1 (007)
Hate
0.0008602646
OpenAI Moderation v1 (007)
Violence > Graphic
0.0006242323
OpenAI Moderation v1 (007)
Violence
0.00038068
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001329941
OpenAI Moderation v1 (007)
Hate > Threatening
1.87591E-5
OpenAI Moderation v1 (007)
Self-Harm
1.27766E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
6.6278E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.851E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance > Economy (General)
Score:
100
Magnitude:
0.204
Code:
4017000
Url:
https://cv.iptc.org/newscodes/subjectcode/04017000
Wikidata_id:
Q159810
Wikidata_label:
economy
Source:
IPTC Subject
Topic:
Macroeconomics
Score:
88.717
Magnitude:
11
Code:
1
Url:
https://fsc.al/cap-mc#1
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
6.9
Flesch-Kincaid Ease
64.9
Gunning-Fog Score
8
Coleman-Liau Index
11.5
SMOG Index
9
Automated Readability Index
5.9
Dale-Chall Readability Score
2
Sprache Readability Score
2.1
Dale-Chall Difficult Word Score
1
Sprache Difficult Word Count
1
Kevin Hassett
00:11:40-00:11:44 (5 sec)No StressLens
They are. They are. That's right. And we're going to have to revise up our forecast for the next budget.
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
0.0459581148
OpenAI Moderation v1 (007)
Harassment
0.0228639838
OpenAI Moderation v1 (007)
Hate
0.008686426
OpenAI Moderation v1 (007)
Violence > Graphic
0.0076662014
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0073177274
OpenAI Moderation v1 (007)
Sexual
0.0007326264
OpenAI Moderation v1 (007)
Hate > Threatening
0.0002651312
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001732103
OpenAI Moderation v1 (007)
Self-Harm
1.29472E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
4.5127E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.7636E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance > Macro Economics > Budgets and Budgeting
Score:
100
Magnitude:
0.289
Code:
4008019
Url:
https://cv.iptc.org/newscodes/subjectcode/04008019
Wikidata_id:
Q41263
Wikidata_label:
budget
Source:
IPTC Subject
Topic:
Macroeconomics
Score:
91.294
Magnitude:
20
Code:
1
Url:
https://fsc.al/cap-mc#1
Source:
Comparative Agendas
Topic:
Weather > Forecast
Score:
86
Magnitude:
0.25
Code:
17001000
Url:
https://cv.iptc.org/newscodes/subjectcode/17001000
Wikidata_id:
Q182868
Wikidata_label:
weather forecasting
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
0
Flesch-Kincaid Ease
100
Gunning-Fog Score
2
Coleman-Liau Index
7.4
SMOG Index
3.3
Automated Readability Index
0
Dale-Chall Readability Score
2.6
Sprache Readability Score
1.7
Dale-Chall Difficult Word Score
3
Sprache Difficult Word Count
5
Donald Trump
00:11:44-00:11:53 (8 sec)Medium (1.742)
We don't mind. [Laughter] Just don't revise it down. I'd like to ask Alex Acosta, Secretary of Labor, to say a few words, please.
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
0.586
Very Positive
Moderation
Sexual
0.0257114036
OpenAI Moderation v1 (007)
Harassment
0.0084251864
OpenAI Moderation v1 (007)
Sexual > Minors
0.0075033386
OpenAI Moderation v1 (007)
Violence
0.0050548555
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0036491547
OpenAI Moderation v1 (007)
Violence > Graphic
0.0019323819
OpenAI Moderation v1 (007)
Self-Harm
0.0003405181
OpenAI Moderation v1 (007)
Hate
0.0003298338
OpenAI Moderation v1 (007)
Self-Harm > Intent
9.7021E-5
OpenAI Moderation v1 (007)
Hate > Threatening
5.0996E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
7.892E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Labor > Employment
Score:
100
Magnitude:
0.063
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:
89
Magnitude:
0.056
Code:
1022000
Url:
https://cv.iptc.org/newscodes/subjectcode/01022000
Wikidata_id:
Q11042
Wikidata_label:
culture
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
3.3
Flesch-Kincaid Ease
85
Gunning-Fog Score
3.1
Coleman-Liau Index
6.4
SMOG Index
7.9
Automated Readability Index
0.2
Dale-Chall Readability Score
4.5
Sprache Readability Score
2.1
Dale-Chall Difficult Word Score
6
Sprache Difficult Word Count
6
Alexander Acosta
00:11:53-00:12:11 (18 sec)No StressLens
Mr. President, thank you. To follow on what Kevin mentioned, I was looking at the Federal Reserve Bank of Atlanta statistics recently, and they are predicting, for the third quarter, an even stronger GDP growth rate from the second quarter. That's a real testament to how strong this economy is.
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
0.875
Very Positive
Moderation
Sexual
0.0036580259
OpenAI Moderation v1 (007)
Harassment
0.0007938773
OpenAI Moderation v1 (007)
Violence
0.0007896217
OpenAI Moderation v1 (007)
Sexual > Minors
0.0004229092
OpenAI Moderation v1 (007)
Violence > Graphic
0.0003624734
OpenAI Moderation v1 (007)
Hate
0.0001851015
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0001272313
OpenAI Moderation v1 (007)
Hate > Threatening
3.7335E-6
OpenAI Moderation v1 (007)
Self-Harm
3.6883E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
9.911E-7
OpenAI Moderation v1 (007)
Self-Harm > Instructions
6.096E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Human Interest > Society > Estate Bestowal
Score:
100
Magnitude:
0.079
Code:
8005004
Url:
https://cv.iptc.org/newscodes/subjectcode/08005004
Wikidata_id:
Q361306
Wikidata_label:
human interest story
Source:
IPTC Subject
Topic:
Economy, Business and Finance > Financial and Business Service > Banking
Score:
99
Magnitude:
0.079
Code:
4006002
Url:
https://cv.iptc.org/newscodes/subjectcode/04006002
Wikidata_id:
Q806718
Wikidata_label:
banking industry
Source:
IPTC Subject
Topic:
Macroeconomics
Score:
87.93
Magnitude:
50
Code:
1
Url:
https://fsc.al/cap-mc#1
Source:
Comparative Agendas
Topic:
Economy, Business and Finance > Economy (General)
Score:
86
Magnitude:
0.069
Code:
4017000
Url:
https://cv.iptc.org/newscodes/subjectcode/04017000
Wikidata_id:
Q159810
Wikidata_label:
economy
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
7.5
Flesch-Kincaid Ease
63.9
Gunning-Fog Score
9
Coleman-Liau Index
12
SMOG Index
10.8
Automated Readability Index
7.1
Dale-Chall Readability Score
5.7
Sprache Readability Score
3.6
Dale-Chall Difficult Word Score
16
Sprache Difficult Word Count
18
Alexander Acosta
00:12:11-00:12:24 (13 sec)No StressLens
You've asked us to focus on jobs, more jobs, and even more jobs. And since the election, this economy has created 4 million new net jobs. And that's incredible.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.09861
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
0.25
Slightly Positive
Moderation
Harassment
0.0164458717
OpenAI Moderation v1 (007)
Sexual
0.0107764747
OpenAI Moderation v1 (007)
Violence
0.0018514631
OpenAI Moderation v1 (007)
Violence > Graphic
0.0010489682
OpenAI Moderation v1 (007)
Hate
0.0008239308
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0002435737
OpenAI Moderation v1 (007)
Sexual > Minors
9.53133E-5
OpenAI Moderation v1 (007)
Hate > Threatening
3.5448E-6
OpenAI Moderation v1 (007)
Self-Harm
1.9373E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.311E-7
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.6E-8
OpenAI Moderation v1 (007)
Topics
Topic:
Labor > Employment > Occupations
Score:
100
Magnitude:
0.11
Code:
9003004
Url:
https://cv.iptc.org/newscodes/subjectcode/09003004
Wikidata_id:
Q12737077
Wikidata_label:
occupation
Source:
IPTC Subject
Topic:
Labor
Score:
83.043
Magnitude:
28
Code:
5
Url:
https://fsc.al/cap-mc#5
Source:
Comparative Agendas
Topic:
Economy, Business and Finance > Economy (General)
Score:
62
Magnitude:
0.068
Code:
4017000
Url:
https://cv.iptc.org/newscodes/subjectcode/04017000
Wikidata_id:
Q159810
Wikidata_label:
economy
Source:
IPTC Subject
Topic:
Politics > Election
Score:
62
Magnitude:
0.068
Code:
11003000
Url:
https://cv.iptc.org/newscodes/subjectcode/11003000
Wikidata_id:
Q40231
Wikidata_label:
public election
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
4.9
Flesch-Kincaid Ease
77.4
Gunning-Fog Score
9.4
Coleman-Liau Index
9.2
SMOG Index
9.9
Automated Readability Index
3.4
Dale-Chall Readability Score
4.8
Sprache Readability Score
2.6
Dale-Chall Difficult Word Score
8
Sprache Difficult Word Count
9
Alexander Acosta
00:12:24-00:12:51 (27 sec)No StressLens
We're around this table here because, for the first time since we've kept this data, we have had not for one month or two months, but for five months in a row, more open jobs than we have individuals looking for jobs. And so we have the skills gap. And this -- everyone here is focused on how to empower the American worker with the skills needed for this modern economy, for the jobs that are being created out there every day.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.09861
Harvard-IV (Relative)
0.75
Very Positive
Harvard-IV (Absolute)
0.75
Very Positive
Harvard-IV (Logit)
1.60944
VADER
0.71
Very Positive
Moderation
Violence > Graphic
0.001669107
OpenAI Moderation v1 (007)
Sexual
0.0016638514
OpenAI Moderation v1 (007)
Violence
0.0016626094
OpenAI Moderation v1 (007)
Harassment
0.0016033666
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0004727876
OpenAI Moderation v1 (007)
Sexual > Minors
0.0002693108
OpenAI Moderation v1 (007)
Hate
0.0002173399
OpenAI Moderation v1 (007)
Self-Harm
3.31972E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.01983E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.67966E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
7.144E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Labor > Employment
Score:
100
Magnitude:
0.135
Code:
9003000
Url:
https://cv.iptc.org/newscodes/subjectcode/09003000
Wikidata_id:
Q656365
Wikidata_label:
employment
Source:
IPTC Subject
Topic:
Labor
Score:
94.935
Magnitude:
82
Code:
5
Url:
https://fsc.al/cap-mc#5
Source:
Comparative Agendas
Topic:
Economy, Business and Finance > Economy (General)
Score:
73
Magnitude:
0.099
Code:
4017000
Url:
https://cv.iptc.org/newscodes/subjectcode/04017000
Wikidata_id:
Q159810
Wikidata_label:
economy
Source:
IPTC Subject
Topic:
Labor > Employment > Occupations
Score:
59
Magnitude:
0.079
Code:
9003004
Url:
https://cv.iptc.org/newscodes/subjectcode/09003004
Wikidata_id:
Q12737077
Wikidata_label:
occupation
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
11
Flesch-Kincaid Ease
64.5
Gunning-Fog Score
13.8
Coleman-Liau Index
8.5
SMOG Index
12
Automated Readability Index
11.5
Dale-Chall Readability Score
3.9
Sprache Readability Score
5
Dale-Chall Difficult Word Score
13
Sprache Difficult Word Count
17
Alexander Acosta
00:12:51-00:13:11 (20 sec)No StressLens
You asked us, and you formed a task force on apprenticeships. That task force did its work, delivered the report to you in six months, in May. Those recommendations have been largely implemented in July. And the applications for these new industry-recognized apprenticeships are now pending notice and comment.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.60944
Harvard-IV (Relative)
-0.33333
Somewhat Negative
Harvard-IV (Absolute)
-0.33333
Somewhat Negative
Harvard-IV (Logit)
-0.51083
VADER
0
Neutral
Moderation
Harassment
0.0361625222
OpenAI Moderation v1 (007)
Violence > Graphic
0.0190986451
OpenAI Moderation v1 (007)
Violence
0.0053077561
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0034084736
OpenAI Moderation v1 (007)
Sexual
0.0018209716
OpenAI Moderation v1 (007)
Hate
0.0005380783
OpenAI Moderation v1 (007)
Sexual > Minors
0.000486983
OpenAI Moderation v1 (007)
Hate > Threatening
2.16204E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.59938E-5
OpenAI Moderation v1 (007)
Self-Harm
9.9296E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
7.8168E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Defense
Score:
100
Magnitude:
0.188
Code:
11001000
Url:
https://cv.iptc.org/newscodes/subjectcode/11001000
Wikidata_id:
Q17991228
Wikidata_label:
national defence
Source:
IPTC Subject
Topic:
Labor
Score:
93.462
Magnitude:
49
Code:
5
Url:
https://fsc.al/cap-mc#5
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
7.9
Flesch-Kincaid Ease
60.5
Gunning-Fog Score
12.2
Coleman-Liau Index
12
SMOG Index
11.8
Automated Readability Index
8.7
Dale-Chall Readability Score
6
Sprache Readability Score
3.5
Dale-Chall Difficult Word Score
17
Sprache Difficult Word Count
16
Alexander Acosta
00:13:11-00:13:31 (19 sec)No StressLens
So far, since your election, this economy has created more than 350,000 new apprenticeships. And with the new approach to apprenticeships, that number is only going to increase. But there are so many other job skills that this group is working on, and it's very exciting. Thank you, Mr. President.
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
0.87
Very Positive
Moderation
Sexual
0.0335568242
OpenAI Moderation v1 (007)
Harassment
0.0149589585
OpenAI Moderation v1 (007)
Violence
0.0026833664
OpenAI Moderation v1 (007)
Violence > Graphic
0.0007739284
OpenAI Moderation v1 (007)
Sexual > Minors
0.0005685389
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0002671009
OpenAI Moderation v1 (007)
Hate
0.0001167822
OpenAI Moderation v1 (007)
Hate > Threatening
1.01302E-5
OpenAI Moderation v1 (007)
Self-Harm
5.2749E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.5992E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.8793E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Election
Score:
100
Magnitude:
0.096
Code:
11003000
Url:
https://cv.iptc.org/newscodes/subjectcode/11003000
Wikidata_id:
Q40231
Wikidata_label:
public election
Source:
IPTC Subject
Topic:
Labor
Score:
94.149
Magnitude:
49
Code:
5
Url:
https://fsc.al/cap-mc#5
Source:
Comparative Agendas
Topic:
Economy, Business and Finance > Economy (General)
Score:
81
Magnitude:
0.078
Code:
4017000
Url:
https://cv.iptc.org/newscodes/subjectcode/04017000
Wikidata_id:
Q159810
Wikidata_label:
economy
Source:
IPTC Subject
Topic:
Economy, Business and Finance
Score:
71
Magnitude:
0.068
Code:
4000000
Url:
https://cv.iptc.org/newscodes/subjectcode/04000000
Wikidata_id:
Q159810
Wikidata_label:
economy
Source:
IPTC Subject
Topic:
Politics > Government > Ministers (Government)
Score:
71
Magnitude:
0.068
Code:
11006009
Url:
https://cv.iptc.org/newscodes/subjectcode/11006009
Wikidata_id:
Q165950
Wikidata_label:
espionage
Source:
IPTC Subject
Topic:
Politics
Score:
63
Magnitude:
0.061
Code:
11000000
Url:
https://cv.iptc.org/newscodes/subjectcode/11000000
Wikidata_id:
Q7163
Wikidata_label:
politics
Source:
IPTC Subject
Topic:
Arts, Culture and Entertainment > Mass Media > Reviews
Score:
55
Magnitude:
0.053
Code:
1026004
Url:
https://cv.iptc.org/newscodes/subjectcode/01026004
Wikidata_id:
Q2018526
Wikidata_label:
arts
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
5
Flesch-Kincaid Ease
77
Gunning-Fog Score
8
Coleman-Liau Index
10.7
SMOG Index
9
Automated Readability Index
4.9
Dale-Chall Readability Score
3.9
Sprache Readability Score
2.9
Dale-Chall Difficult Word Score
11
Sprache Difficult Word Count
12
Donald Trump
00:13:31-00:13:57 (26 sec)Medium (1.918)
And, Alex, I think importantly, wages -- for the first time in many, many years, wages are going up and people are able to make more money doing a job that they like because they have options now. They have -- they'll look at 5 or 6 or 10 jobs, and they'll take the one they like, and they'll make more money. Not just a money thing, but they'll also get paid more. That's the first time in many years. Could you just mention the association health plans that we're doing too? Because I think it's very important.
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
0.695
Very Positive
Moderation
Violence > Graphic
0.012615684
OpenAI Moderation v1 (007)
Sexual
0.0033564254
OpenAI Moderation v1 (007)
Harassment
0.0030458685
OpenAI Moderation v1 (007)
Violence
0.0015309453
OpenAI Moderation v1 (007)
Hate
0.0012260269
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0001700006
OpenAI Moderation v1 (007)
Self-Harm
8.52972E-5
OpenAI Moderation v1 (007)
Sexual > Minors
8.01335E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.39459E-5
OpenAI Moderation v1 (007)
Hate > Threatening
5.64E-7
OpenAI Moderation v1 (007)
Self-Harm > Instructions
5.296E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Labor > Wage and Pension
Score:
100
Magnitude:
0.228
Code:
9011000
Url:
https://cv.iptc.org/newscodes/subjectcode/09011000
Wikidata_id:
Q6821213
Wikidata_label:
wage
Source:
IPTC Subject
Topic:
Labor
Score:
92.352
Magnitude:
95
Code:
5
Url:
https://fsc.al/cap-mc#5
Source:
Comparative Agendas
Topic:
Labor > Collective Contract > Contract Issue-Wages
Score:
51
Magnitude:
0.116
Code:
9002001
Url:
https://cv.iptc.org/newscodes/subjectcode/09002001
Wikidata_id:
Q6821213
Wikidata_label:
wage
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
5.3
Flesch-Kincaid Ease
85.7
Gunning-Fog Score
8.1
Coleman-Liau Index
7.9
SMOG Index
7.9
Automated Readability Index
5.6
Dale-Chall Readability Score
2.3
Sprache Readability Score
3.5
Dale-Chall Difficult Word Score
9
Sprache Difficult Word Count
11
Alexander Acosta
00:13:57-00:14:09 (12 sec)No StressLens
That's right. Under a new rule, chambers of commerce and industry associations can now come together and offer health insurance to their members' employees. And this is transformative.
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
Neutral
Moderation
Violence > Graphic
0.0554168189
OpenAI Moderation v1 (007)
Harassment
0.0139293232
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0077922217
OpenAI Moderation v1 (007)
Violence
0.0060340921
OpenAI Moderation v1 (007)
Sexual
0.0008512557
OpenAI Moderation v1 (007)
Hate
0.0005469371
OpenAI Moderation v1 (007)
Self-Harm
0.0002448178
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001584736
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.21054E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.74813E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.81392E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Labor > Unions
Score:
100
Magnitude:
0.417
Code:
9010000
Url:
https://cv.iptc.org/newscodes/subjectcode/09010000
Wikidata_id:
Q178790
Wikidata_label:
labor union
Source:
IPTC Subject
Topic:
Health
Score:
71.604
Magnitude:
28
Code:
3
Url:
https://fsc.al/cap-mc#3
Source:
Comparative Agendas
Topic:
Labor > Health and Safety at Work
Score:
58
Magnitude:
0.241
Code:
9013000
Url:
https://cv.iptc.org/newscodes/subjectcode/09013000
Wikidata_id:
Q629029
Wikidata_label:
occupational health and safety
Source:
IPTC Subject
Topic:
Economy, Business and Finance > Financial and Business Service > Insurance
Score:
52
Magnitude:
0.217
Code:
4006006
Url:
https://cv.iptc.org/newscodes/subjectcode/04006006
Wikidata_id:
Q43183
Wikidata_label:
insurance
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
8.3
Flesch-Kincaid Ease
52.3
Gunning-Fog Score
12.3
Coleman-Liau Index
12
SMOG Index
11.3
Automated Readability Index
8.6
Dale-Chall Readability Score
5
Sprache Readability Score
2.5
Dale-Chall Difficult Word Score
8
Sprache Difficult Word Count
9
Alexander Acosta
00:14:09-00:14:40 (31 sec)No StressLens
So many small businesses or smaller businesses really couldn't afford to offer healthcare. It was too complicated. The economies of scale weren't there. And so, currently, right now, those associations and chambers can offer healthcare. And if you look around the nation, you've seen chambers of commerce, from Texas to Nevada to Illinois, come together and say, we want to provide our members an opportunity to offer healthcare to their employees.
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
0.477
Positive
Moderation
Violence > Graphic
0.0119532568
OpenAI Moderation v1 (007)
Violence
0.0053294993
OpenAI Moderation v1 (007)
Harassment
0.0045384495
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0009651058
OpenAI Moderation v1 (007)
Self-Harm
0.0008996416
OpenAI Moderation v1 (007)
Sexual
0.0007855089
OpenAI Moderation v1 (007)
Hate
0.0004676982
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.000131863
OpenAI Moderation v1 (007)
Sexual > Minors
7.94237E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.44863E-5
OpenAI Moderation v1 (007)
Hate > Threatening
9.8561E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Labor > Collective Contract > Contract Issue-Healthcare
Score:
100
Magnitude:
0.142
Code:
9002002
Url:
https://cv.iptc.org/newscodes/subjectcode/09002002
Wikidata_id:
Q629029
Wikidata_label:
occupational health and safety
Source:
IPTC Subject
Topic:
Health
Score:
94.301
Magnitude:
71
Code:
3
Url:
https://fsc.al/cap-mc#3
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
9.9
Flesch-Kincaid Ease
49.4
Gunning-Fog Score
11.3
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
9.8
Dale-Chall Readability Score
5.4
Sprache Readability Score
4.3
Dale-Chall Difficult Word Score
21
Sprache Difficult Word Count
23
Alexander Acosta
00:14:40-00:14:57 (17 sec)No StressLens
You've also seen industry associations, like the National Restaurant Association, come together and say any restaurant in the nation, any small restaurant in the nation that wants to offer healthcare to its employees can now do it through the National Restaurant Association. That is transformative.
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
0.361
Somewhat Positive
Moderation
Violence > Graphic
0.0239599365
OpenAI Moderation v1 (007)
Violence
0.0057794165
OpenAI Moderation v1 (007)
Harassment
0.0036063022
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0006197101
OpenAI Moderation v1 (007)
Sexual
0.0001546388
OpenAI Moderation v1 (007)
Self-Harm
0.0001503681
OpenAI Moderation v1 (007)
Sexual > Minors
6.01419E-5
OpenAI Moderation v1 (007)
Hate
5.13307E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.10771E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.1045E-6
OpenAI Moderation v1 (007)
Hate > Threatening
1.8825E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Lifestyle and Leisure > Gastronomy
Score:
100
Magnitude:
0.471
Code:
10003000
Url:
https://cv.iptc.org/newscodes/subjectcode/10003000
Source:
IPTC Subject
Topic:
Economy, Business and Finance > Tourism and Leisure > Restaurant and Catering
Score:
66
Magnitude:
0.312
Code:
4014004
Url:
https://cv.iptc.org/newscodes/subjectcode/04014004
Wikidata_id:
Q41958
Wikidata_label:
foodservice
Source:
IPTC Subject
Topic:
Domestic Commerce
Score:
51.009
Magnitude:
45
Code:
15
Url:
https://fsc.al/cap-mc#15
Source:
Comparative Agendas
Topic:
Health
Score:
23.383
Magnitude:
45
Code:
3
Url:
https://fsc.al/cap-mc#3
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
28
Gunning-Fog Score
15.2
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
6.7
Sprache Readability Score
4.1
Dale-Chall Difficult Word Score
16
Sprache Difficult Word Count
9
Donald Trump
00:14:57-00:15:07 (9 sec)No Signal (0)
It's working out to be a very big deal, and they're getting great, great healthcare at a very low cost. And you're coming out with another plan very soon that's going to be similar.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
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
0.781
Very Positive
Moderation
Harassment
0.0213210733
OpenAI Moderation v1 (007)
Violence > Graphic
0.0091089023
OpenAI Moderation v1 (007)
Violence
0.0029459952
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0028459883
OpenAI Moderation v1 (007)
Hate
0.0004770241
OpenAI Moderation v1 (007)
Self-Harm
0.0004467433
OpenAI Moderation v1 (007)
Sexual
0.0001678038
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.36987E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.29436E-5
OpenAI Moderation v1 (007)
Sexual > Minors
1.03616E-5
OpenAI Moderation v1 (007)
Hate > Threatening
3.4705E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Labor > Collective Contract > Contract Issue-Healthcare
Score:
100
Magnitude:
0.175
Code:
9002002
Url:
https://cv.iptc.org/newscodes/subjectcode/09002002
Wikidata_id:
Q629029
Wikidata_label:
occupational health and safety
Source:
IPTC Subject
Topic:
Health
Score:
95.208
Magnitude:
34
Code:
3
Url:
https://fsc.al/cap-mc#3
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
6.7
Flesch-Kincaid Ease
77.6
Gunning-Fog Score
9.2
Coleman-Liau Index
8.4
SMOG Index
9
Automated Readability Index
6.5
Dale-Chall Readability Score
2.2
Sprache Readability Score
3.5
Dale-Chall Difficult Word Score
3
Sprache Difficult Word Count
10
Donald Trump
00:15:07-00:15:26 (19 sec)Medium (1.91)
One other thing. As you know, we have the remnants of Obamacare. One of the things that I'm very proud of is that we got rid of the individual mandate, which was a disaster for Obamacare and a disaster for people, where you had to pay a lot of money for the privilege of not having to pay for bad health insurance and healthcare.
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
-0.798
Very Negative
Moderation
Harassment
0.249427557
OpenAI Moderation v1 (007)
Violence
0.0838988111
OpenAI Moderation v1 (007)
Violence > Graphic
0.0140874341
OpenAI Moderation v1 (007)
Self-Harm
0.0046724672
OpenAI Moderation v1 (007)
Hate
0.0030367553
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0027462969
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001675706
OpenAI Moderation v1 (007)
Sexual
0.0001065132
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001062668
OpenAI Moderation v1 (007)
Self-Harm > Instructions
5.55411E-5
OpenAI Moderation v1 (007)
Hate > Threatening
3.0535E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Labor > Collective Contract > Contract Issue-Healthcare
Score:
100
Magnitude:
0.175
Code:
9002002
Url:
https://cv.iptc.org/newscodes/subjectcode/09002002
Wikidata_id:
Q629029
Wikidata_label:
occupational health and safety
Source:
IPTC Subject
Topic:
Social Welfare
Score:
38.06
Magnitude:
64
Code:
13
Url:
https://fsc.al/cap-mc#13
Source:
Comparative Agendas
Topic:
Civil Rights
Score:
37.286
Magnitude:
64
Code:
2
Url:
https://fsc.al/cap-mc#2
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
9.5
Flesch-Kincaid Ease
64.9
Gunning-Fog Score
11.7
Coleman-Liau Index
8
SMOG Index
12
Automated Readability Index
8.3
Dale-Chall Readability Score
3.8
Sprache Readability Score
4.2
Dale-Chall Difficult Word Score
11
Sprache Difficult Word Count
12
Donald Trump
00:15:26-00:15:47 (21 sec)Medium (1.865)
But the thing that I really am very happy to announce is that the rates are far lower than they would have been under the previous administration, or under a Democrat administration. We're holding the rates down. So that remnant is being able to -- the remnant of Obamacare is much less expensive than people thought.
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
0.469
Positive
Moderation
Harassment
0.1010587323
OpenAI Moderation v1 (007)
Violence > Graphic
0.0215295033
OpenAI Moderation v1 (007)
Violence
0.0103370578
OpenAI Moderation v1 (007)
Hate
0.0028488123
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0014647104
OpenAI Moderation v1 (007)
Self-Harm
0.0005393256
OpenAI Moderation v1 (007)
Sexual
0.0001624858
OpenAI Moderation v1 (007)
Sexual > Minors
6.47413E-5
OpenAI Moderation v1 (007)
Hate > Threatening
9.5729E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
7.9476E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.8835E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance > Media > Advertising
Score:
100
Magnitude:
0.074
Code:
4010001
Url:
https://cv.iptc.org/newscodes/subjectcode/04010001
Wikidata_id:
Q23700481
Wikidata_label:
advertising industry
Source:
IPTC Subject
Topic:
Economy, Business and Finance > Company Information > Plant Closing
Score:
77
Magnitude:
0.057
Code:
4016032
Url:
https://cv.iptc.org/newscodes/subjectcode/04016032
Wikidata_id:
Q1391314
Wikidata_label:
business information
Source:
IPTC Subject
Topic:
Macroeconomics
Score:
47.767
Magnitude:
56
Code:
1
Url:
https://fsc.al/cap-mc#1
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
10
Flesch-Kincaid Ease
55.9
Gunning-Fog Score
11
Coleman-Liau Index
11.5
SMOG Index
12
Automated Readability Index
9.6
Dale-Chall Readability Score
4.4
Sprache Readability Score
4
Dale-Chall Difficult Word Score
12
Sprache Difficult Word Count
14
Donald Trump
00:15:47-00:16:05 (18 sec)No Signal (0.569)
They were going up, before I got here, at 118 percent, in some cases; 150 percent, 160 percent, 55 percent. We have the percentage going up at a much lower level because we're managing it very, very carefully. So we're very proud of that. Linda McMahon, could you say few words, please?
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
0.7
Very Positive
Moderation
Harassment
0.0480392075
OpenAI Moderation v1 (007)
Hate
0.0209452264
OpenAI Moderation v1 (007)
Sexual
0.0125945531
OpenAI Moderation v1 (007)
Violence
0.0027340151
OpenAI Moderation v1 (007)
Violence > Graphic
0.001457918
OpenAI Moderation v1 (007)
Sexual > Minors
0.0013682034
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0012779074
OpenAI Moderation v1 (007)
Self-Harm
1.69469E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.24859E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.9452E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.4816E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Civil Rights
Score:
21.248
Magnitude:
48
Code:
2
Url:
https://fsc.al/cap-mc#2
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
5.4
Flesch-Kincaid Ease
79.8
Gunning-Fog Score
7.5
Coleman-Liau Index
7.9
SMOG Index
9
Automated Readability Index
4
Dale-Chall Readability Score
3.7
Sprache Readability Score
3.1
Dale-Chall Difficult Word Score
10
Sprache Difficult Word Count
10
Linda McMahon
00:16:05-00:16:21 (16 sec)No StressLens
Certainly. Thank you. Well, we are here today talking about, you know, workforce. And I'm really on the ground visiting with small businesses all over the country. And one of the greatest needs they have today -- not only big business, but small business -- is a skilled workforce.
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)
0.8473
VADER
0.681
Very Positive
Moderation
Harassment
0.0038085924
OpenAI Moderation v1 (007)
Violence
0.0019442752
OpenAI Moderation v1 (007)
Violence > Graphic
0.0010598178
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0009329718
OpenAI Moderation v1 (007)
Sexual
0.0007988647
OpenAI Moderation v1 (007)
Hate
0.0002481228
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001709004
OpenAI Moderation v1 (007)
Self-Harm
3.77021E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
3.49334E-5
OpenAI Moderation v1 (007)
Hate > Threatening
2.00786E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
9.292E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Labor
Score:
90.308
Magnitude:
49
Code:
5
Url:
https://fsc.al/cap-mc#5
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
4.9
Flesch-Kincaid Ease
76.7
Gunning-Fog Score
6.3
Coleman-Liau Index
11.6
SMOG Index
8.4
Automated Readability Index
5.2
Dale-Chall Readability Score
3.5
Sprache Readability Score
2.6
Dale-Chall Difficult Word Score
9
Sprache Difficult Word Count
10
Linda McMahon
00:16:21-00:16:58 (37 sec)No StressLens
So we've been talking about different programs. The apprenticeship program, for one, has been really big. But, you know, small businesses a lot of times do things on their own to start programs and don't realize that it has a name. Like, for instance, there was a small landscaper that I visited recently, and he is going to high schools, and he is talking to juniors and seniors in the high school about the advantages of having their own business but of also how you can get to having your own business. For instance, he talked about how he drove a dump truck when he was in high school, because he worked after school to build a business.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.09861
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
-0.226
Slightly Negative
Moderation
Sexual
0.0392931543
OpenAI Moderation v1 (007)
Violence > Graphic
0.0110068147
OpenAI Moderation v1 (007)
Sexual > Minors
0.0093201728
OpenAI Moderation v1 (007)
Violence
0.0061952232
OpenAI Moderation v1 (007)
Harassment
0.000506741
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.000441166
OpenAI Moderation v1 (007)
Self-Harm
0.0003699268
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0002222405
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0001261713
OpenAI Moderation v1 (007)
Hate
1.09404E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.959E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Education > School
Score:
100
Magnitude:
0.238
Code:
5005000
Url:
https://cv.iptc.org/newscodes/subjectcode/05005000
Wikidata_id:
Q3914
Wikidata_label:
school
Source:
IPTC Subject
Topic:
Domestic Commerce
Score:
95.963
Magnitude:
118
Code:
15
Url:
https://fsc.al/cap-mc#15
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
9.7
Flesch-Kincaid Ease
67.5
Gunning-Fog Score
13.2
Coleman-Liau Index
9.5
SMOG Index
11.7
Automated Readability Index
10.6
Dale-Chall Readability Score
3.7
Sprache Readability Score
5
Dale-Chall Difficult Word Score
19
Sprache Difficult Word Count
20
Linda McMahon
00:16:58-00:17:17 (19 sec)No StressLens
So going to the schools at different levels -- K-12, high schools; working in these very sophisticated apprenticeship programs that we're seeing -- Toyota, United Technologies -- and other companies putting with those community colleges. All of it is adding.
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
0.769
Very Positive
Moderation
Sexual
0.010393119
OpenAI Moderation v1 (007)
Violence > Graphic
0.0086174521
OpenAI Moderation v1 (007)
Harassment
0.0034806064
OpenAI Moderation v1 (007)
Violence
0.0030097959
OpenAI Moderation v1 (007)
Sexual > Minors
0.0017738144
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0009395076
OpenAI Moderation v1 (007)
Self-Harm
0.000147731
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001127244
OpenAI Moderation v1 (007)
Hate
5.40433E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.43526E-5
OpenAI Moderation v1 (007)
Hate > Threatening
9.4727E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Education > School
Score:
100
Magnitude:
0.101
Code:
5005000
Url:
https://cv.iptc.org/newscodes/subjectcode/05005000
Wikidata_id:
Q3914
Wikidata_label:
school
Source:
IPTC Subject
Topic:
Education
Score:
94.883
Magnitude:
40
Code:
6
Url:
https://fsc.al/cap-mc#6
Source:
Comparative Agendas
Topic:
Economy, Business and Finance > Manufacturing and Engineering > Automotive Equipment
Score:
89
Magnitude:
0.09
Code:
4011002
Url:
https://cv.iptc.org/newscodes/subjectcode/04011002
Wikidata_id:
Q190117
Wikidata_label:
automotive industry
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
33.9
Gunning-Fog Score
15
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
4.7
Sprache Readability Score
4.2
Dale-Chall Difficult Word Score
9
Sprache Difficult Word Count
15
Linda McMahon
00:17:17-00:17:35 (18 sec)No StressLens
And the pledge, Ivanka, when I'm going around talking to small businesses, they'll sign the pledge for one to two reskilling or retraining employees. And, boy, when you start adding that up around the country for 30 million small businesses, that can have an incredible impact.
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
Neutral
Moderation
Sexual
0.053091452
OpenAI Moderation v1 (007)
Harassment
0.0128664615
OpenAI Moderation v1 (007)
Sexual > Minors
0.0084217478
OpenAI Moderation v1 (007)
Violence
0.0033299191
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0027844992
OpenAI Moderation v1 (007)
Violence > Graphic
0.0018770748
OpenAI Moderation v1 (007)
Hate
0.0008058601
OpenAI Moderation v1 (007)
Hate > Threatening
8.7845E-6
OpenAI Moderation v1 (007)
Self-Harm
3.0616E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.2055E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
5.254E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Domestic Commerce
Score:
86.084
Magnitude:
45
Code:
15
Url:
https://fsc.al/cap-mc#15
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
10.8
Flesch-Kincaid Ease
58.4
Gunning-Fog Score
15.3
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
4.9
Sprache Readability Score
4.6
Dale-Chall Difficult Word Score
11
Sprache Difficult Word Count
14
Ivanka Trump
00:17:35-00:17:57 (22 sec)No StressLens
And the Administrator mentions an unbelievable point. Because some of the best examples we've seen is when the employers reach into the vocational schools and reach into the high schools, and develop curriculums and then employ the student right on the other end. And one of the things we're seeing just across almost all populations is the lowest unemployment rates in this country's history.
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
0.178
Leans Positive
Moderation
Sexual
0.0107516957
OpenAI Moderation v1 (007)
Harassment
0.0101997794
OpenAI Moderation v1 (007)
Sexual > Minors
0.0037266618
OpenAI Moderation v1 (007)
Violence > Graphic
0.0023265024
OpenAI Moderation v1 (007)
Violence
0.0015487049
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0008365474
OpenAI Moderation v1 (007)
Hate
0.0002956584
OpenAI Moderation v1 (007)
Self-Harm
0.0001707386
OpenAI Moderation v1 (007)
Self-Harm > Intent
5.96661E-5
OpenAI Moderation v1 (007)
Hate > Threatening
3.72027E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.19995E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Education > School
Score:
100
Magnitude:
0.146
Code:
5005000
Url:
https://cv.iptc.org/newscodes/subjectcode/05005000
Wikidata_id:
Q3914
Wikidata_label:
school
Source:
IPTC Subject
Topic:
Labor
Score:
93.999
Magnitude:
64
Code:
5
Url:
https://fsc.al/cap-mc#5
Source:
Comparative Agendas
Topic:
Labor > Unemployment
Score:
52
Magnitude:
0.076
Code:
9009000
Url:
https://cv.iptc.org/newscodes/subjectcode/09009000
Wikidata_id:
Q41171
Wikidata_label:
unemployment
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
45.1
Gunning-Fog Score
15.4
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
4.8
Sprache Readability Score
4.9
Dale-Chall Difficult Word Score
15
Sprache Difficult Word Count
20
Ivanka Trump
00:17:57-00:18:22 (25 sec)No StressLens
So we just hit the lowest youth unemployment rate in the history of America. We hit the lowest unemployment rate for African Americans in the history of this country. The lowest Hispanic unemployment rate in the history of this country. The lowest unemployment rate for women in 65 years. In the month of June alone, 600,000 Americans came off the sidelines and entered or reentered our workforce.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-2.19722
Harvard-IV (Relative)
-0.33333
Somewhat Negative
Harvard-IV (Absolute)
-0.33333
Somewhat Negative
Harvard-IV (Logit)
-0.58779
VADER
-0.968
Very Negative
Moderation
Harassment
0.5352358799
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0092750801
OpenAI Moderation v1 (007)
Hate
0.008570731
OpenAI Moderation v1 (007)
Sexual
0.0068968424
OpenAI Moderation v1 (007)
Violence
0.0020263709
OpenAI Moderation v1 (007)
Sexual > Minors
0.0007121714
OpenAI Moderation v1 (007)
Violence > Graphic
0.0005818543
OpenAI Moderation v1 (007)
Hate > Threatening
5.50384E-5
OpenAI Moderation v1 (007)
Self-Harm
4.55569E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
8.3627E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.3285E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Labor > Unemployment
Score:
100
Magnitude:
0.493
Code:
9009000
Url:
https://cv.iptc.org/newscodes/subjectcode/09009000
Wikidata_id:
Q41171
Wikidata_label:
unemployment
Source:
IPTC Subject
Topic:
Labor
Score:
94.659
Magnitude:
65
Code:
5
Url:
https://fsc.al/cap-mc#5
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
8.5
Flesch-Kincaid Ease
58.7
Gunning-Fog Score
9.6
Coleman-Liau Index
11.5
SMOG Index
12
Automated Readability Index
7.3
Dale-Chall Readability Score
5.1
Sprache Readability Score
3.5
Dale-Chall Difficult Word Score
19
Sprache Difficult Word Count
14
Ivanka Trump
00:18:22-00:18:45 (23 sec)No StressLens
So there's so much opportunity. So, engaging American students and workers at different moments in the lifecycle, whether it's directly in high school and having employers reach in, or later in their career and reskilling them for the jobs of the future, and enabling them to secure better jobs in the modern economy represents just a tremendous opportunity.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
2.3979
Harvard-IV (Relative)
0.8
Very Positive
Harvard-IV (Absolute)
0.8
Very Positive
Harvard-IV (Logit)
1.84583
VADER
0.879
Very Positive
Moderation
Sexual
0.1437821658
OpenAI Moderation v1 (007)
Sexual > Minors
0.1420741202
OpenAI Moderation v1 (007)
Harassment > Threatening
0.1045954181
OpenAI Moderation v1 (007)
Harassment
0.0916169665
OpenAI Moderation v1 (007)
Violence
0.0243561008
OpenAI Moderation v1 (007)
Violence > Graphic
0.0118059055
OpenAI Moderation v1 (007)
Hate > Threatening
0.0015867799
OpenAI Moderation v1 (007)
Hate
0.0006584923
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001066955
OpenAI Moderation v1 (007)
Self-Harm
2.41093E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.7367E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Labor > Employment
Score:
100
Magnitude:
0.214
Code:
9003000
Url:
https://cv.iptc.org/newscodes/subjectcode/09003000
Wikidata_id:
Q656365
Wikidata_label:
employment
Source:
IPTC Subject
Topic:
Labor
Score:
87.423
Magnitude:
58
Code:
5
Url:
https://fsc.al/cap-mc#5
Source:
Comparative Agendas
Topic:
Education > Teaching and Learning > Students
Score:
52
Magnitude:
0.112
Code:
5010001
Url:
https://cv.iptc.org/newscodes/subjectcode/05010001
Wikidata_id:
Q48282
Wikidata_label:
student
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
28.6
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
20
Sprache Difficult Word Count
21
Ivanka Trump
00:18:45-00:18:59 (13 sec)No StressLens
And one of the things we're looking at, and we were talking about with Director Mulvaney, is there are a lot of government funds that are going towards these initiatives that are not being spent efficiently and don't have much accountability.
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)
1.60944
VADER
-0.128
Leans Negative
Moderation
Violence > Graphic
0.1426427043
OpenAI Moderation v1 (007)
Violence
0.0157207047
OpenAI Moderation v1 (007)
Harassment
0.0124619022
OpenAI Moderation v1 (007)
Sexual
0.0063785752
OpenAI Moderation v1 (007)
Sexual > Minors
0.0033995497
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0028986473
OpenAI Moderation v1 (007)
Hate
0.0011397992
OpenAI Moderation v1 (007)
Self-Harm
0.0001238104
OpenAI Moderation v1 (007)
Hate > Threatening
3.58697E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.93427E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.22703E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Government Operations
Score:
70.798
Magnitude:
41
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
35.2
Gunning-Fog Score
19
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
5.1
Sprache Readability Score
5
Dale-Chall Difficult Word Score
8
Sprache Difficult Word Count
13
Ivanka Trump
00:18:59-00:19:20 (22 sec)No StressLens
So one of the goals of this council is creating that accountability, and making sure that every dollar that's spent of taxpayer money is being measured and is achieving the end result that we desire, and ultimately working more with the private sector to make them take on this mission, ready to ensure that they're doing the work of training our workers.
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)
2.83321
VADER
0.832
Very Positive
Moderation
Violence
0.0025765994
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0019494777
OpenAI Moderation v1 (007)
Sexual
0.0013399565
OpenAI Moderation v1 (007)
Harassment
0.0010557002
OpenAI Moderation v1 (007)
Violence > Graphic
0.0008475052
OpenAI Moderation v1 (007)
Sexual > Minors
0.0005698966
OpenAI Moderation v1 (007)
Hate
3.99936E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.7979E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.03544E-5
OpenAI Moderation v1 (007)
Self-Harm
1.02395E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.724E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Labor > Employment
Score:
100
Magnitude:
0.129
Code:
9003000
Url:
https://cv.iptc.org/newscodes/subjectcode/09003000
Wikidata_id:
Q656365
Wikidata_label:
employment
Source:
IPTC Subject
Topic:
Labor
Score:
95.487
Magnitude:
62
Code:
5
Url:
https://fsc.al/cap-mc#5
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
15.6
Gunning-Fog Score
19
Coleman-Liau Index
11.6
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
6.9
Sprache Readability Score
5
Dale-Chall Difficult Word Score
15
Sprache Difficult Word Count
22
Donald Trump
00:19:20-00:19:24 (3 sec)No StressLens
Thank you. Mick Mulvaney, could you say something and maybe respond to 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
0.361
Somewhat Positive
Moderation
Harassment
0.0548470649
OpenAI Moderation v1 (007)
Sexual
0.0240682828
OpenAI Moderation v1 (007)
Violence
0.012029364
OpenAI Moderation v1 (007)
Violence > Graphic
0.0097649645
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0076664801
OpenAI Moderation v1 (007)
Sexual > Minors
0.0056026111
OpenAI Moderation v1 (007)
Hate
0.0013202851
OpenAI Moderation v1 (007)
Self-Harm
0.0004125949
OpenAI Moderation v1 (007)
Hate > Threatening
0.0002662108
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.000112954
OpenAI Moderation v1 (007)
Self-Harm > Intent
7.58569E-5
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
4.2
Flesch-Kincaid Ease
76.6
Gunning-Fog Score
5.7
Coleman-Liau Index
11.8
SMOG Index
9
Automated Readability Index
3.9
Dale-Chall Readability Score
4
Sprache Readability Score
1.7
Dale-Chall Difficult Word Score
3
Sprache Difficult Word Count
3
Mick Mulvaney
00:19:24-00:19:44 (20 sec)No StressLens
I could say a bunch of different things, Mr. President. I want to start and go back to what Kevin talked about. Sort of hard to start -- know where to start to talk about the economy. You mentioned the quit number. And I know that's a strange number to look at, but what that tells us is that people are confident. They're confident in themselves and they're confident in the ability to go out and make a better life for themselves.
Sentiment
Loughran McDonald (Relative)
0.6
Very Positive
Loughran McDonald (Absolute)
0.6
Very Positive
Loughran McDonald (Logit)
1.09861
Harvard-IV (Relative)
0.45455
Positive
Harvard-IV (Absolute)
0.45455
Positive
Harvard-IV (Logit)
0.8873
VADER
0.963
Very Positive
Moderation
Sexual
0.0181910713
OpenAI Moderation v1 (007)
Harassment
0.0124118553
OpenAI Moderation v1 (007)
Violence
0.0013780824
OpenAI Moderation v1 (007)
Hate
0.0008912388
OpenAI Moderation v1 (007)
Sexual > Minors
0.0004236063
OpenAI Moderation v1 (007)
Self-Harm
0.0003293595
OpenAI Moderation v1 (007)
Violence > Graphic
0.0002627851
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0002267103
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001538451
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.82151E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.31823E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance > Economy (General)
Score:
100
Magnitude:
0.073
Code:
4017000
Url:
https://cv.iptc.org/newscodes/subjectcode/04017000
Wikidata_id:
Q159810
Wikidata_label:
economy
Source:
IPTC Subject
Topic:
Economy, Business and Finance
Score:
95
Magnitude:
0.07
Code:
4000000
Url:
https://cv.iptc.org/newscodes/subjectcode/04000000
Wikidata_id:
Q159810
Wikidata_label:
economy
Source:
IPTC Subject
Topic:
Sport > Soccer
Score:
88
Magnitude:
0.064
Code:
15054000
Url:
https://cv.iptc.org/newscodes/subjectcode/15054000
Wikidata_id:
Q2736
Wikidata_label:
association football
Source:
IPTC Subject
Topic:
Macroeconomics
Score:
36.903
Magnitude:
82
Code:
1
Url:
https://fsc.al/cap-mc#1
Source:
Comparative Agendas
Topic:
Labor
Score:
34.787
Magnitude:
82
Code:
5
Url:
https://fsc.al/cap-mc#5
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
4.5
Flesch-Kincaid Ease
83.3
Gunning-Fog Score
7.6
Coleman-Liau Index
8.7
SMOG Index
8.6
Automated Readability Index
4
Dale-Chall Readability Score
3.1
Sprache Readability Score
3.2
Dale-Chall Difficult Word Score
13
Sprache Difficult Word Count
14
Mick Mulvaney
00:19:44-00:19:54 (10 sec)No StressLens
And so the difference -- and you know, I've talked about this before -- the difference between a job and a career. And that's what folks are having the chance to do now in a way they haven't done for a long time: the chance to build their careers.
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)
-0.51083
VADER
0.459
Positive
Moderation
Violence > Graphic
0.003442161
OpenAI Moderation v1 (007)
Violence
0.0017375995
OpenAI Moderation v1 (007)
Sexual
0.001050555
OpenAI Moderation v1 (007)
Harassment
0.0004895912
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0002127156
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0001973857
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001177939
OpenAI Moderation v1 (007)
Self-Harm
0.0001009176
OpenAI Moderation v1 (007)
Hate
7.23999E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.58556E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.04682E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Labor
Score:
94.808
Magnitude:
49
Code:
5
Url:
https://fsc.al/cap-mc#5
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
8.4
Flesch-Kincaid Ease
76.8
Gunning-Fog Score
11.1
Coleman-Liau Index
7.7
SMOG Index
9
Automated Readability Index
9.2
Dale-Chall Readability Score
2.5
Sprache Readability Score
4.1
Dale-Chall Difficult Word Score
4
Sprache Difficult Word Count
7
Mick Mulvaney
00:19:54-00:20:08 (14 sec)No StressLens
So they're at a job, they don't like it, they want to go do something else, and they have the confidence now to be able to do that. It has been a long time since you could do that in this country. That's what you can do when you have 3 and 4 percent economic growth that you cannot do at 1 and 2 percent.
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
0.697
Very Positive
Moderation
Harassment
0.4464510363
OpenAI Moderation v1 (007)
Hate
0.009030346
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0048634371
OpenAI Moderation v1 (007)
Violence
0.0032244876
OpenAI Moderation v1 (007)
Violence > Graphic
0.0026443266
OpenAI Moderation v1 (007)
Sexual
0.0022042248
OpenAI Moderation v1 (007)
Sexual > Minors
0.0005744288
OpenAI Moderation v1 (007)
Self-Harm
0.0003637064
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0003213448
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0002553677
OpenAI Moderation v1 (007)
Hate > Threatening
1.16957E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance > Economy (General)
Score:
100
Magnitude:
0.14
Code:
4017000
Url:
https://cv.iptc.org/newscodes/subjectcode/04017000
Wikidata_id:
Q159810
Wikidata_label:
economy
Source:
IPTC Subject
Topic:
Macroeconomics
Score:
69.129
Magnitude:
61
Code:
1
Url:
https://fsc.al/cap-mc#1
Source:
Comparative Agendas
Topic:
Arts, Culture and Entertainment > Mass Media > Periodicals
Score:
67
Magnitude:
0.094
Code:
1026001
Url:
https://cv.iptc.org/newscodes/subjectcode/01026001
Wikidata_id:
Q1002697
Wikidata_label:
periodical
Source:
IPTC Subject
Topic:
Human Interest
Score:
56
Magnitude:
0.078
Code:
8000000
Url:
https://cv.iptc.org/newscodes/subjectcode/08000000
Wikidata_id:
Q361306
Wikidata_label:
human interest story
Source:
IPTC Subject
Topic:
Politics
Score:
55
Magnitude:
0.077
Code:
11000000
Url:
https://cv.iptc.org/newscodes/subjectcode/11000000
Wikidata_id:
Q7163
Wikidata_label:
politics
Source:
IPTC Subject
Topic:
Social Issue > People
Score:
51
Magnitude:
0.072
Code:
14024000
Url:
https://cv.iptc.org/newscodes/subjectcode/14024000
Wikidata_id:
Q1156970
Wikidata_label:
humanity
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
6.3
Flesch-Kincaid Ease
88.5
Gunning-Fog Score
10.5
Coleman-Liau Index
4.8
SMOG Index
9
Automated Readability Index
5.9
Dale-Chall Readability Score
2.3
Sprache Readability Score
3.8
Dale-Chall Difficult Word Score
5
Sprache Difficult Word Count
6
Mick Mulvaney
00:20:08-00:20:32 (25 sec)No StressLens
It's also reflected in the new business formation. More women are starting businesses. More African Americans are starting business. More Asian Americans and Hispanic Americans are starting new businesses. This is a reflection of the confidence that you can have in the system. It gives us a tremendous problem, which is that we need more workers. We have too many jobs available and not enough workers. And the federal government does a lousy job right now.
Sentiment
Loughran McDonald (Relative)
0.33333
Somewhat Positive
Loughran McDonald (Absolute)
0.33333
Somewhat Positive
Loughran McDonald (Logit)
0.51083
Harvard-IV (Relative)
0.42857
Positive
Harvard-IV (Absolute)
0.42857
Positive
Harvard-IV (Logit)
0.78846
VADER
-0.488
Negative
Moderation
Harassment
9.0406134725
OpenAI Moderation v1 (007)
Hate
0.030046879
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0033244141
OpenAI Moderation v1 (007)
Sexual
0.0032109612
OpenAI Moderation v1 (007)
Violence > Graphic
0.0007006357
OpenAI Moderation v1 (007)
Violence
0.0006796684
OpenAI Moderation v1 (007)
Sexual > Minors
9.28049E-5
OpenAI Moderation v1 (007)
Self-Harm
4.71383E-5
OpenAI Moderation v1 (007)
Hate > Threatening
2.09446E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
9.8441E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
6.748E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Labor > Employment
Score:
100
Magnitude:
0.637
Code:
9003000
Url:
https://cv.iptc.org/newscodes/subjectcode/09003000
Wikidata_id:
Q656365
Wikidata_label:
employment
Source:
IPTC Subject
Topic:
Labor
Score:
90.877
Magnitude:
76
Code:
5
Url:
https://fsc.al/cap-mc#5
Source:
Comparative Agendas
Topic:
Economy, Business and Finance > Business (General)
Score:
58
Magnitude:
0.369
Code:
4018000
Url:
https://cv.iptc.org/newscodes/subjectcode/04018000
Wikidata_id:
Q159810
Wikidata_label:
economy
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
7.5
Flesch-Kincaid Ease
58
Gunning-Fog Score
9.1
Coleman-Liau Index
12
SMOG Index
11.1
Automated Readability Index
6.4
Dale-Chall Readability Score
5
Sprache Readability Score
3.3
Dale-Chall Difficult Word Score
22
Sprache Difficult Word Count
18
Mick Mulvaney
00:20:32-00:20:51 (19 sec)No StressLens
You've heard Ivanka mention -- she's absolutely right -- most of the job training programs we have don't know how to measure what they do. We asked them, "Were you successful in job training?" And they'll say, "Oh, yeah. Well, we spent $100 billion last year and we helped 52,000 people." Okay? And we asked, "Okay, did any of them get a job?" Hardly any of them know the answer to that question.
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)
1.22378
VADER
0.887
Very Positive
Moderation
Harassment
1.1535965838
OpenAI Moderation v1 (007)
Sexual
0.0825216586
OpenAI Moderation v1 (007)
Sexual > Minors
0.0230574209
OpenAI Moderation v1 (007)
Hate
0.0164597237
OpenAI Moderation v1 (007)
Violence > Graphic
0.0024855573
OpenAI Moderation v1 (007)
Violence
0.0015242818
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0012723405
OpenAI Moderation v1 (007)
Self-Harm
6.17928E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
3.434E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.9921E-6
OpenAI Moderation v1 (007)
Hate > Threatening
2.5754E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Labor > Employment > Occupations
Score:
100
Magnitude:
0.098
Code:
9003004
Url:
https://cv.iptc.org/newscodes/subjectcode/09003004
Wikidata_id:
Q12737077
Wikidata_label:
occupation
Source:
IPTC Subject
Topic:
Crime, Law and Justice > Justice and Rights
Score:
98
Magnitude:
0.096
Code:
2007000
Url:
https://cv.iptc.org/newscodes/subjectcode/02007000
Wikidata_id:
Q5167661
Wikidata_label:
justice
Source:
IPTC Subject
Topic:
Labor
Score:
96.114
Magnitude:
71
Code:
5
Url:
https://fsc.al/cap-mc#5
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
3.5
Flesch-Kincaid Ease
88.3
Gunning-Fog Score
5.8
Coleman-Liau Index
7.6
SMOG Index
7.6
Automated Readability Index
2.5
Dale-Chall Readability Score
3.8
Sprache Readability Score
3.4
Dale-Chall Difficult Word Score
15
Sprache Difficult Word Count
18
Mick Mulvaney
00:20:51-00:21:04 (13 sec)No StressLens
So that's what we're trying to fix here, is to bring some accountability. Because we need it. Now is not just a question of saving money. The economy needs more workers. And this group, I think, is going to make that a priority. So thanks for letting us do it.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
-0.11111
Leans Negative
Harvard-IV (Absolute)
-0.11111
Leans Negative
Harvard-IV (Logit)
-0.20067
VADER
0.488
Positive
Moderation
Violence
0.0125918872
OpenAI Moderation v1 (007)
Harassment
0.0053449105
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0017611188
OpenAI Moderation v1 (007)
Hate
0.0013722764
OpenAI Moderation v1 (007)
Sexual
0.001203889
OpenAI Moderation v1 (007)
Violence > Graphic
0.0005012401
OpenAI Moderation v1 (007)
Hate > Threatening
0.0001220229
OpenAI Moderation v1 (007)
Self-Harm
7.6529E-5
OpenAI Moderation v1 (007)
Sexual > Minors
7.50315E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
4.65383E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.0552E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Labor > Employment
Score:
100
Magnitude:
0.124
Code:
9003000
Url:
https://cv.iptc.org/newscodes/subjectcode/09003000
Wikidata_id:
Q656365
Wikidata_label:
employment
Source:
IPTC Subject
Topic:
Labor
Score:
93.36
Magnitude:
50
Code:
5
Url:
https://fsc.al/cap-mc#5
Source:
Comparative Agendas
Topic:
Economy, Business and Finance > Economy (General)
Score:
66
Magnitude:
0.082
Code:
4017000
Url:
https://cv.iptc.org/newscodes/subjectcode/04017000
Wikidata_id:
Q159810
Wikidata_label:
economy
Source:
IPTC Subject
Topic:
Economy, Business and Finance
Score:
53
Magnitude:
0.066
Code:
4000000
Url:
https://cv.iptc.org/newscodes/subjectcode/04000000
Wikidata_id:
Q159810
Wikidata_label:
economy
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
3.5
Flesch-Kincaid Ease
85
Gunning-Fog Score
5.7
Coleman-Liau Index
7.7
SMOG Index
7.3
Automated Readability Index
1.6
Dale-Chall Readability Score
2
Sprache Readability Score
2.6
Dale-Chall Difficult Word Score
5
Sprache Difficult Word Count
11
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
0.648
Very Positive
Moderation
Harassment
0.0779001857
OpenAI Moderation v1 (007)
Sexual
0.0269616896
OpenAI Moderation v1 (007)
Violence
0.0142852819
OpenAI Moderation v1 (007)
Violence > Graphic
0.0036847574
OpenAI Moderation v1 (007)
Self-Harm
0.0015557171
OpenAI Moderation v1 (007)
Hate
0.0006296618
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0005712466
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0005351475
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0005072071
OpenAI Moderation v1 (007)
Sexual > Minors
0.0004663785
OpenAI Moderation v1 (007)
Hate > Threatening
2.2504E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
0.2
Flesch-Kincaid Ease
98.4
Gunning-Fog Score
1.1
Coleman-Liau Index
9.1
SMOG Index
3.3
Automated Readability Index
0
Dale-Chall Readability Score
4.1
Sprache Readability Score
1.1
Dale-Chall Difficult Word Score
2
Sprache Difficult Word Count
2
Wilbur Ross
00:21:06-00:21:46 (40 sec)No StressLens
Yes. I think one of the key markets is not just the few unemployed, but also the very large percentage of people who are of working age but don't identify themselves as even being in the workforce. We need to pull them back into the workforce. Training and better jobs are what will do that. And that's what will help drive the economy to these very, very high rates of growth. Because if you don't have increased workforce participation and you don't have increased productivity, we won't be able to meet our aspirations for growth. So it's very, very critical that we do that.
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)
0.36772
VADER
0.884
Very Positive
Moderation
Harassment
0.0231138562
OpenAI Moderation v1 (007)
Harassment > Threatening
0.006693459
OpenAI Moderation v1 (007)
Sexual
0.005039194
OpenAI Moderation v1 (007)
Violence
0.0035366298
OpenAI Moderation v1 (007)
Sexual > Minors
0.0020021238
OpenAI Moderation v1 (007)
Violence > Graphic
0.0002646722
OpenAI Moderation v1 (007)
Hate
0.0001869065
OpenAI Moderation v1 (007)
Hate > Threatening
1.71753E-5
OpenAI Moderation v1 (007)
Self-Harm
7.1927E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
5.593E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
7.015E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Labor
Score:
100
Magnitude:
0.091
Code:
9000000
Url:
https://cv.iptc.org/newscodes/subjectcode/09000000
Wikidata_id:
Q268378
Wikidata_label:
work
Source:
IPTC Subject
Topic:
Labor
Score:
94.207
Magnitude:
104
Code:
5
Url:
https://fsc.al/cap-mc#5
Source:
Comparative Agendas
Topic:
Labor > Unemployment
Score:
66
Magnitude:
0.06
Code:
9009000
Url:
https://cv.iptc.org/newscodes/subjectcode/09009000
Wikidata_id:
Q41171
Wikidata_label:
unemployment
Source:
IPTC Subject
Topic:
Economy, Business and Finance > Economy (General)
Score:
63
Magnitude:
0.057
Code:
4017000
Url:
https://cv.iptc.org/newscodes/subjectcode/04017000
Wikidata_id:
Q159810
Wikidata_label:
economy
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
7.5
Flesch-Kincaid Ease
68.1
Gunning-Fog Score
9.8
Coleman-Liau Index
10.1
SMOG Index
10.1
Automated Readability Index
6.7
Dale-Chall Readability Score
3.5
Sprache Readability Score
3.9
Dale-Chall Difficult Word Score
18
Sprache Difficult Word Count
17
Wilbur Ross
00:21:46-00:22:04 (18 sec)No StressLens
And that's why we're convening an advisory council of leading CEOs, leading academicians, leading thought people in order to provide advice to the council -- how we can do better, how we can cooperate better, and how we can increase workforce participation.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
2.3979
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
2.94444
VADER
0.796
Very Positive
Moderation
Harassment > Threatening
0.0057825535
OpenAI Moderation v1 (007)
Harassment
0.0018497283
OpenAI Moderation v1 (007)
Hate
0.0005312007
OpenAI Moderation v1 (007)
Violence
0.0004198743
OpenAI Moderation v1 (007)
Sexual
0.0003064122
OpenAI Moderation v1 (007)
Violence > Graphic
0.0001820636
OpenAI Moderation v1 (007)
Hate > Threatening
0.0001815666
OpenAI Moderation v1 (007)
Sexual > Minors
2.35525E-5
OpenAI Moderation v1 (007)
Self-Harm
9.0753E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
9.0322E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
8.0153E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
20.8
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
13
Donald Trump
00:22:04-00:22:36 (32 sec)Strong (2.251)
2 of 53 paragraphs scored.Great. Thank you very much, Wilbur. And I want to say, as per what all of you basically were saying, we have some tremendous trade deals coming along. Mexico, we're largely finished. It's being papered. But we have a wonderful relationship, and I think we have a great deal for both. We had a very unfair NAFTA deal. It was a terrible deal for this country for many years between Mexico and Canada. It was a horrible, horrible deal. We lost thousands of businesses and millions of jobs. And that's not going to happen anymore.
Sentiment
Loughran McDonald (Relative)
0.2
Leans Positive
Loughran McDonald (Absolute)
0.2
Leans Positive
Loughran McDonald (Logit)
0.33647
Harvard-IV (Relative)
0.16667
Leans Positive
Harvard-IV (Absolute)
0.16667
Leans Positive
Harvard-IV (Logit)
0.31015
VADER
-0.016
Neutral
Moderation
Harassment
0.169988058
OpenAI Moderation v1 (007)
Violence
0.027445989
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0203578325
OpenAI Moderation v1 (007)
Violence > Graphic
0.0187301353
OpenAI Moderation v1 (007)
Sexual
0.0047639831
OpenAI Moderation v1 (007)
Hate
0.0028794113
OpenAI Moderation v1 (007)
Sexual > Minors
0.0005422022
OpenAI Moderation v1 (007)
Self-Harm > Intent
7.75955E-5
OpenAI Moderation v1 (007)
Self-Harm
5.93723E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.24559E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.5607E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Foreign Trade
Score:
87.237
Magnitude:
95
Code:
18
Url:
https://fsc.al/cap-mc#18
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
5.4
Flesch-Kincaid Ease
71.6
Gunning-Fog Score
8.9
Coleman-Liau Index
9.7
SMOG Index
9.9
Automated Readability Index
3.3
Dale-Chall Readability Score
3.1
Sprache Readability Score
3.8
Dale-Chall Difficult Word Score
16
Sprache Difficult Word Count
26
Donald Trump
00:22:36-00:23:03 (28 sec)No StressLens
But we have a really great deal with Mexico, and I think great for both of us. Very, very pro-jobs. Very pro-everything for both countries. So we look forward to that. That's in the process of -- the deal is made. It's in the process of getting concluded. We'll see what happens with Canada. We've told them what we have to have, and we'll see how that goes. I'm sure it will go fine. And so we're working on that.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.60944
Harvard-IV (Relative)
0.66667
Very Positive
Harvard-IV (Absolute)
0.66667
Very Positive
Harvard-IV (Logit)
1.29928
VADER
0.911
Very Positive
Moderation
Harassment
0.0394597067
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0097224744
OpenAI Moderation v1 (007)
Violence
0.0039399165
OpenAI Moderation v1 (007)
Sexual
0.0015985175
OpenAI Moderation v1 (007)
Violence > Graphic
0.0005601882
OpenAI Moderation v1 (007)
Hate
0.0004530377
OpenAI Moderation v1 (007)
Sexual > Minors
3.67384E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.15289E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
8.319E-7
OpenAI Moderation v1 (007)
Self-Harm
1.799E-7
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.34E-8
OpenAI Moderation v1 (007)
Topics
Topic:
Politics
Score:
100
Magnitude:
0.082
Code:
11000000
Url:
https://cv.iptc.org/newscodes/subjectcode/11000000
Wikidata_id:
Q7163
Wikidata_label:
politics
Source:
IPTC Subject
Topic:
Social Issue > People
Score:
72
Magnitude:
0.059
Code:
14024000
Url:
https://cv.iptc.org/newscodes/subjectcode/14024000
Wikidata_id:
Q1156970
Wikidata_label:
humanity
Source:
IPTC Subject
Topic:
Social Issue
Score:
71
Magnitude:
0.059
Code:
14000000
Url:
https://cv.iptc.org/newscodes/subjectcode/14000000
Wikidata_id:
Q8425
Wikidata_label:
society
Source:
IPTC Subject
Topic:
International Affairs
Score:
45.91
Magnitude:
80
Code:
19
Url:
https://fsc.al/cap-mc#19
Source:
Comparative Agendas
Topic:
Foreign Trade
Score:
25.414
Magnitude:
80
Code:
18
Url:
https://fsc.al/cap-mc#18
Source:
Comparative Agendas
Topic:
International Affairs
Score:
21.618
Magnitude:
80
Code:
19
Url:
https://fsc.al/cap-mc#19
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
2.4
Flesch-Kincaid Ease
92.1
Gunning-Fog Score
4.7
Coleman-Liau Index
6.8
SMOG Index
7.3
Automated Readability Index
0.7
Dale-Chall Readability Score
2.4
Sprache Readability Score
2.8
Dale-Chall Difficult Word Score
10
Sprache Difficult Word Count
14
Donald Trump
00:23:03-00:23:31 (28 sec)Medium (1.785)
China is now paying us billions of dollars, and we will see how that all works out. It's a -- I have great respect for President Xi, as you know. I was over there for two days with him. I have a lot of respect for China. But last year, we lost $375 billion in deficits, and we had, in my opinion, way over $500 billion in cash. And that's not including certain items that we won't even talk about.
Sentiment
Loughran McDonald (Relative)
-0.33333
Somewhat Negative
Loughran McDonald (Absolute)
-0.33333
Somewhat Negative
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
0.826
Very Positive
Moderation
Harassment
0.7970232517
OpenAI Moderation v1 (007)
Hate
0.0189743834
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0144640988
OpenAI Moderation v1 (007)
Violence
0.0139329772
OpenAI Moderation v1 (007)
Sexual
0.0136803414
OpenAI Moderation v1 (007)
Violence > Graphic
0.0025321586
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001578237
OpenAI Moderation v1 (007)
Hate > Threatening
2.32012E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
3.243E-6
OpenAI Moderation v1 (007)
Self-Harm
2.3783E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.685E-7
OpenAI Moderation v1 (007)
Topics
Topic:
International Affairs
Score:
66.621
Magnitude:
78
Code:
19
Url:
https://fsc.al/cap-mc#19
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
4.8
Flesch-Kincaid Ease
84.2
Gunning-Fog Score
8.3
Coleman-Liau Index
6
SMOG Index
9
Automated Readability Index
2.6
Dale-Chall Readability Score
3.3
Sprache Readability Score
3.2
Dale-Chall Difficult Word Score
13
Sprache Difficult Word Count
11
Donald Trump
00:23:31-00:23:43 (12 sec)Strong (2.045)
So we're not going to lose that. We can't do that. We can't do that anymore. It should have been done many years ago. It should have been done by other Presidents. And actually, it's a disgrace that it wasn't done.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.60944
Harvard-IV (Relative)
-0.33333
Somewhat Negative
Harvard-IV (Absolute)
-0.33333
Somewhat Negative
Harvard-IV (Logit)
-0.51083
VADER
-0.402
Negative
Moderation
Harassment
1.1850791983
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0727782957
OpenAI Moderation v1 (007)
Violence
0.0439276424
OpenAI Moderation v1 (007)
Hate
0.0415357354
OpenAI Moderation v1 (007)
Sexual
0.0025087642
OpenAI Moderation v1 (007)
Violence > Graphic
0.0016370755
OpenAI Moderation v1 (007)
Sexual > Minors
0.0002516142
OpenAI Moderation v1 (007)
Hate > Threatening
8.24967E-5
OpenAI Moderation v1 (007)
Self-Harm
4.76108E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
7.4001E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.1457E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Government Operations
Score:
80.961
Magnitude:
41
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
1.8
Flesch-Kincaid Ease
94.7
Gunning-Fog Score
4.7
Coleman-Liau Index
7.4
SMOG Index
6.6
Automated Readability Index
0.6
Dale-Chall Readability Score
1.9
Sprache Readability Score
2.1
Dale-Chall Difficult Word Score
4
Sprache Difficult Word Count
8
Donald Trump
00:23:43-00:24:12 (30 sec)Medium (1.608)
So China is now paying us billions of dollars in tariffs, and hopefully we'll be able to work something out. We'll be having an announcement tonight after close of market, and that will take place. Pretty comprehensive statement. Kevin may speak and Larry Kudlow may speak a little bit at that time. But some very positive news. I think it's going to work out very well with China. I think they want to make a deal. They do want to make a deal -- that I can tell you. They want to make a deal.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
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
0.933
Very Positive
Moderation
Harassment
0.0452338485
OpenAI Moderation v1 (007)
Violence
0.0193840184
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0122845959
OpenAI Moderation v1 (007)
Hate
0.0061569524
OpenAI Moderation v1 (007)
Violence > Graphic
0.0031769599
OpenAI Moderation v1 (007)
Sexual
0.0030843174
OpenAI Moderation v1 (007)
Hate > Threatening
0.0001445143
OpenAI Moderation v1 (007)
Sexual > Minors
7.8624E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.221E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.68E-7
OpenAI Moderation v1 (007)
Self-Harm
3.38E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Labor > Employment
Score:
100
Magnitude:
0.128
Code:
9003000
Url:
https://cv.iptc.org/newscodes/subjectcode/09003000
Wikidata_id:
Q656365
Wikidata_label:
employment
Source:
IPTC Subject
Topic:
Social Issue > People
Score:
81
Magnitude:
0.104
Code:
14024000
Url:
https://cv.iptc.org/newscodes/subjectcode/14024000
Wikidata_id:
Q1156970
Wikidata_label:
humanity
Source:
IPTC Subject
Topic:
Foreign Trade
Score:
61.094
Magnitude:
95
Code:
18
Url:
https://fsc.al/cap-mc#18
Source:
Comparative Agendas
Topic:
Science and Technology > Electronics
Score:
54
Magnitude:
0.068
Code:
13016000
Url:
https://cv.iptc.org/newscodes/subjectcode/13016000
Wikidata_id:
Q126095
Wikidata_label:
electronic engineering
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
4.2
Flesch-Kincaid Ease
83.7
Gunning-Fog Score
6.7
Coleman-Liau Index
8.2
SMOG Index
7.9
Automated Readability Index
3
Dale-Chall Readability Score
2.5
Sprache Readability Score
3.4
Dale-Chall Difficult Word Score
12
Sprache Difficult Word Count
18
Donald Trump
00:24:12-00:24:41 (29 sec)Medium (1.501)
But from our standpoint, it has to be fair. It has to take care of our workers. We can't have them pinpointing our farmers, because they think that weakens me a little bit because our farmers are the great -- they are incredible patriots. They understand what's happening. The markets were closed to them. Vast markets were closed to them. And the farmers have been hurting for 15 years. If you look at soybeans, the pricing before the election, for five years, it was cut in half. And so we're going to open up markets.
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)
0.36772
VADER
0.542
Very Positive
Moderation
Violence
0.0162169148
OpenAI Moderation v1 (007)
Violence > Graphic
0.0060447113
OpenAI Moderation v1 (007)
Harassment
0.0047594014
OpenAI Moderation v1 (007)
Sexual
0.0010316258
OpenAI Moderation v1 (007)
Hate
0.0004678267
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0001614115
OpenAI Moderation v1 (007)
Sexual > Minors
7.94E-5
OpenAI Moderation v1 (007)
Self-Harm
1.7347E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
3.7193E-6
OpenAI Moderation v1 (007)
Hate > Threatening
2.4158E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
5.55E-8
OpenAI Moderation v1 (007)
Topics
Topic:
Labor > Employment
Score:
100
Magnitude:
0.069
Code:
9003000
Url:
https://cv.iptc.org/newscodes/subjectcode/09003000
Wikidata_id:
Q656365
Wikidata_label:
employment
Source:
IPTC Subject
Topic:
Politics > Election
Score:
95
Magnitude:
0.066
Code:
11003000
Url:
https://cv.iptc.org/newscodes/subjectcode/11003000
Wikidata_id:
Q40231
Wikidata_label:
public election
Source:
IPTC Subject
Topic:
Agriculture
Score:
92.808
Magnitude:
94
Code:
4
Url:
https://fsc.al/cap-mc#4
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
4.2
Flesch-Kincaid Ease
83.7
Gunning-Fog Score
6.7
Coleman-Liau Index
9.5
SMOG Index
7.9
Automated Readability Index
4.1
Dale-Chall Readability Score
2.5
Sprache Readability Score
3.3
Dale-Chall Difficult Word Score
12
Sprache Difficult Word Count
17
Donald Trump
00:24:41-00:25:02 (20 sec)Weak (1.036)
The EU, we're moving along. They didn't want to talk because they had such a great deal. And last year, they made $151 billion off the United States. And they had tremendous trade barriers, and we'll see what happens. But as you know, they want to make a deal very much. And we'll see if we're going to be able to make a deal with them. But there's a good chance that we can.
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)
2.3979
VADER
0.9
Very Positive
Moderation
Harassment
0.0124632206
OpenAI Moderation v1 (007)
Violence
0.0084952044
OpenAI Moderation v1 (007)
Sexual
0.0068874113
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0056918063
OpenAI Moderation v1 (007)
Violence > Graphic
0.0016741702
OpenAI Moderation v1 (007)
Hate
0.0010924613
OpenAI Moderation v1 (007)
Sexual > Minors
0.0004144677
OpenAI Moderation v1 (007)
Hate > Threatening
3.79637E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.962E-6
OpenAI Moderation v1 (007)
Self-Harm
1.2931E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
5.05E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance > Macro Economics > Trade Dispute
Score:
100
Magnitude:
0.095
Code:
4008015
Url:
https://cv.iptc.org/newscodes/subjectcode/04008015
Wikidata_id:
Q692412
Wikidata_label:
trade war
Source:
IPTC Subject
Topic:
Foreign Trade
Score:
84.014
Magnitude:
73
Code:
18
Url:
https://fsc.al/cap-mc#18
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
2.6
Flesch-Kincaid Ease
95.5
Gunning-Fog Score
5.9
Coleman-Liau Index
6.5
SMOG Index
7.6
Automated Readability Index
1.7
Dale-Chall Readability Score
1.8
Sprache Readability Score
3
Dale-Chall Difficult Word Score
6
Sprache Difficult Word Count
13
Donald Trump
00:25:02-00:25:30 (28 sec)Weak (1.332)
And no matter where you look, we have new deals going -- new trade deals. And that's going to have a huge impact on our country. It's going to have a huge impact on jobs. Going to open up markets that weren't opened before. And if they don't want to do that, that's okay. Then we're just going to have to charge them when they sell their products to us. And our Treasury will take in tremendous amounts of money, which is great for our country. And we'll create jobs. So that's all very important.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.60944
Harvard-IV (Relative)
0.77778
Very Positive
Harvard-IV (Absolute)
0.77778
Very Positive
Harvard-IV (Logit)
1.7346
VADER
0.908
Very Positive
Moderation
Violence
0.0581104425
OpenAI Moderation v1 (007)
Harassment
0.0504060823
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0109351437
OpenAI Moderation v1 (007)
Violence > Graphic
0.0042779157
OpenAI Moderation v1 (007)
Hate
0.0034288463
OpenAI Moderation v1 (007)
Sexual
0.0019261081
OpenAI Moderation v1 (007)
Sexual > Minors
2.60713E-5
OpenAI Moderation v1 (007)
Hate > Threatening
7.5977E-6
OpenAI Moderation v1 (007)
Self-Harm
1.392E-7
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.098E-7
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.8E-9
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance > Macro Economics > Business Enterprises
Score:
100
Magnitude:
0.096
Code:
4008034
Url:
https://cv.iptc.org/newscodes/subjectcode/04008034
Wikidata_id:
Q4830453
Wikidata_label:
business
Source:
IPTC Subject
Topic:
Foreign Trade
Score:
88.179
Magnitude:
95
Code:
18
Url:
https://fsc.al/cap-mc#18
Source:
Comparative Agendas
Topic:
Economy, Business and Finance > Economy (General)
Score:
79
Magnitude:
0.076
Code:
4017000
Url:
https://cv.iptc.org/newscodes/subjectcode/04017000
Wikidata_id:
Q159810
Wikidata_label:
economy
Source:
IPTC Subject
Topic:
Politics
Score:
57
Magnitude:
0.055
Code:
11000000
Url:
https://cv.iptc.org/newscodes/subjectcode/11000000
Wikidata_id:
Q7163
Wikidata_label:
politics
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
3
Flesch-Kincaid Ease
91.8
Gunning-Fog Score
5
Coleman-Liau Index
8
SMOG Index
6.6
Automated Readability Index
2.9
Dale-Chall Readability Score
2.2
Sprache Readability Score
3.2
Dale-Chall Difficult Word Score
10
Sprache Difficult Word Count
16
Donald Trump
00:25:30-00:25:46 (17 sec)Medium (1.635)
And you know, what's going to happen is businesses will start moving back into the United States, which to me is -- that's the dream. The businesses are going to pour back into the United States. That's jobs, that's a lot of other things; that's a lot of taxes coming to us. And product will start being made here again.
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)
0.8473
VADER
0.765
Very Positive
Moderation
Harassment > Threatening
0.0129555818
OpenAI Moderation v1 (007)
Harassment
0.0102030477
OpenAI Moderation v1 (007)
Violence
0.0077672274
OpenAI Moderation v1 (007)
Violence > Graphic
0.005663517
OpenAI Moderation v1 (007)
Sexual
0.0009246836
OpenAI Moderation v1 (007)
Hate
0.0008487533
OpenAI Moderation v1 (007)
Hate > Threatening
0.0001331582
OpenAI Moderation v1 (007)
Sexual > Minors
3.68954E-5
OpenAI Moderation v1 (007)
Self-Harm
3.07368E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
9.7446E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.932E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance
Score:
100
Magnitude:
0.192
Code:
4000000
Url:
https://cv.iptc.org/newscodes/subjectcode/04000000
Wikidata_id:
Q159810
Wikidata_label:
economy
Source:
IPTC Subject
Topic:
Domestic Commerce
Score:
96.478
Magnitude:
60
Code:
15
Url:
https://fsc.al/cap-mc#15
Source:
Comparative Agendas
Topic:
Economy, Business and Finance > Business (General)
Score:
61
Magnitude:
0.117
Code:
4018000
Url:
https://cv.iptc.org/newscodes/subjectcode/04018000
Wikidata_id:
Q159810
Wikidata_label:
economy
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
5.6
Flesch-Kincaid Ease
81.5
Gunning-Fog Score
7.3
Coleman-Liau Index
8.7
SMOG Index
9
Automated Readability Index
5.6
Dale-Chall Readability Score
2.1
Sprache Readability Score
3.3
Dale-Chall Difficult Word Score
5
Sprache Difficult Word Count
10
Donald Trump
00:25:46-00:26:01 (14 sec)Medium (1.991)
You remember the old days? We used to make our product, Kevin, right? Now we buy our product from everybody else. And frankly, we can make it here. And ultimately, if you include the fact that we have to have jobs and others things to do it, it will be far better economically.
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)
2.94444
VADER
0.504
Very Positive
Moderation
Harassment
0.2062748419
OpenAI Moderation v1 (007)
Violence
0.0158915835
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0150322943
OpenAI Moderation v1 (007)
Violence > Graphic
0.0070906863
OpenAI Moderation v1 (007)
Hate
0.003215441
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0025831589
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0016984273
OpenAI Moderation v1 (007)
Self-Harm
0.0016915186
OpenAI Moderation v1 (007)
Sexual
0.0006011137
OpenAI Moderation v1 (007)
Sexual > Minors
0.0002545884
OpenAI Moderation v1 (007)
Hate > Threatening
1.26423E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Crime, Law and Justice > Justice and Rights
Score:
100
Magnitude:
0.097
Code:
2007000
Url:
https://cv.iptc.org/newscodes/subjectcode/02007000
Wikidata_id:
Q5167661
Wikidata_label:
justice
Source:
IPTC Subject
Topic:
Domestic Commerce
Score:
97.041
Magnitude:
53
Code:
15
Url:
https://fsc.al/cap-mc#15
Source:
Comparative Agendas
Topic:
Arts, Culture and Entertainment > Culture (General)
Score:
71
Magnitude:
0.068
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:
0.058
Code:
14024000
Url:
https://cv.iptc.org/newscodes/subjectcode/14024000
Wikidata_id:
Q1156970
Wikidata_label:
humanity
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
5.5
Flesch-Kincaid Ease
74.8
Gunning-Fog Score
7.3
Coleman-Liau Index
8.1
SMOG Index
8.4
Automated Readability Index
3
Dale-Chall Readability Score
2.6
Sprache Readability Score
2.6
Dale-Chall Difficult Word Score
7
Sprache Difficult Word Count
8
Donald Trump
00:26:01-00:26:14 (13 sec)Strong (2.05)
4 of 53 paragraphs scored.But we'll see what happens as to whether or not we're able to do something in particular with China. That's a big one -- because the losses have been staggering for so many years for our country. And we just can't let that happen anymore.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.60944
Harvard-IV (Relative)
-0.33333
Somewhat Negative
Harvard-IV (Absolute)
-0.33333
Somewhat Negative
Harvard-IV (Logit)
-0.51083
VADER
-0.402
Negative
Moderation
Harassment
0.0462870201
OpenAI Moderation v1 (007)
Violence
0.0369040354
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0304767222
OpenAI Moderation v1 (007)
Violence > Graphic
0.003173466
OpenAI Moderation v1 (007)
Hate
0.0027129981
OpenAI Moderation v1 (007)
Sexual
0.0015227882
OpenAI Moderation v1 (007)
Hate > Threatening
8.69976E-5
OpenAI Moderation v1 (007)
Sexual > Minors
5.7054E-5
OpenAI Moderation v1 (007)
Self-Harm
3.0583E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
3.0217E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
9.01E-8
OpenAI Moderation v1 (007)
Topics
Topic:
Foreign Trade
Score:
43.812
Magnitude:
45
Code:
18
Url:
https://fsc.al/cap-mc#18
Source:
Comparative Agendas
Topic:
International Affairs
Score:
32.293
Magnitude:
45
Code:
19
Url:
https://fsc.al/cap-mc#19
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
6.5
Flesch-Kincaid Ease
74.7
Gunning-Fog Score
9.5
Coleman-Liau Index
8.9
SMOG Index
9.9
Automated Readability Index
5.7
Dale-Chall Readability Score
2.2
Sprache Readability Score
3.1
Dale-Chall Difficult Word Score
4
Sprache Difficult Word Count
8
Donald Trump
00:26:14-00:26:35 (21 sec)Medium (1.637)
So I want to thank you all for being here. I want to congratulate the people around the table for what you've done with respect to workforce. We really need workers. I mean, with the companies coming in like they're coming in, we need workers. One of the things we'll be doing at the border is we want people to come into our country, but they have to be qualified. They have to be merit-based. I want merit-based people.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.69231
Very Positive
Harvard-IV (Absolute)
0.69231
Very Positive
Harvard-IV (Logit)
1.52606
VADER
0.78
Very Positive
Moderation
Harassment
0.2130008535
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0436941889
OpenAI Moderation v1 (007)
Violence
0.0083652405
OpenAI Moderation v1 (007)
Hate
0.0048326747
OpenAI Moderation v1 (007)
Hate > Threatening
0.0004354712
OpenAI Moderation v1 (007)
Violence > Graphic
0.0003494183
OpenAI Moderation v1 (007)
Sexual
0.0003416908
OpenAI Moderation v1 (007)
Sexual > Minors
5.64512E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
4.2439E-6
OpenAI Moderation v1 (007)
Self-Harm
3.1285E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
7.811E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Labor > Employment
Score:
100
Magnitude:
0.22
Code:
9003000
Url:
https://cv.iptc.org/newscodes/subjectcode/09003000
Wikidata_id:
Q656365
Wikidata_label:
employment
Source:
IPTC Subject
Topic:
Labor
Score:
85.155
Magnitude:
79
Code:
5
Url:
https://fsc.al/cap-mc#5
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
4.8
Flesch-Kincaid Ease
81.2
Gunning-Fog Score
6.6
Coleman-Liau Index
8
SMOG Index
7.6
Automated Readability Index
3.4
Dale-Chall Readability Score
2.7
Sprache Readability Score
3.3
Dale-Chall Difficult Word Score
11
Sprache Difficult Word Count
15
Donald Trump
00:26:35-00:27:14 (38 sec)No StressLens
Right now, 60 percent over the last 10 years -- you take a look -- 60 percent or, let's just say, so I get it exactly perfectly, large, large numbers -- a large percentage of the people coming into our country immediately go into welfare or relief. And a lot of times they never work. And we have some very foolish policies in our country. We have to end that. We want people to come into our country. We want them to come in through merit so they can work for all of these massive companies that are coming back -- in many cases, coming back to the United States.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
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
0.903
Very Positive
Moderation
Harassment
27.6510506868
OpenAI Moderation v1 (007)
Hate
0.4247330595
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0391481793
OpenAI Moderation v1 (007)
Violence
0.0093663512
OpenAI Moderation v1 (007)
Sexual
0.0015736512
OpenAI Moderation v1 (007)
Violence > Graphic
0.00089269
OpenAI Moderation v1 (007)
Sexual > Minors
0.000246341
OpenAI Moderation v1 (007)
Hate > Threatening
1.68294E-5
OpenAI Moderation v1 (007)
Self-Harm
6.5927E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.0332E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.461E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Labor > Employment
Score:
100
Magnitude:
0.239
Code:
9003000
Url:
https://cv.iptc.org/newscodes/subjectcode/09003000
Wikidata_id:
Q656365
Wikidata_label:
employment
Source:
IPTC Subject
Topic:
Crime, Law and Justice > Justice and Rights
Score:
80
Magnitude:
0.192
Code:
2007000
Url:
https://cv.iptc.org/newscodes/subjectcode/02007000
Wikidata_id:
Q5167661
Wikidata_label:
justice
Source:
IPTC Subject
Topic:
Immigration
Score:
74.183
Magnitude:
107
Code:
9
Url:
https://fsc.al/cap-mc#9
Source:
Comparative Agendas
Topic:
Politics > Politics (General)
Score:
66
Magnitude:
0.158
Code:
11024000
Url:
https://cv.iptc.org/newscodes/subjectcode/11024000
Wikidata_id:
Q11827330
Wikidata_label:
political process
Source:
IPTC Subject
Topic:
Social Issue > Social Issues (General)
Score:
59
Magnitude:
0.14
Code:
14025000
Url:
https://cv.iptc.org/newscodes/subjectcode/14025000
Wikidata_id:
Q8425
Wikidata_label:
society
Source:
IPTC Subject
Topic:
Economy, Business and Finance > Macro Economics > Business Enterprises
Score:
58
Magnitude:
0.14
Code:
4008034
Url:
https://cv.iptc.org/newscodes/subjectcode/04008034
Wikidata_id:
Q4830453
Wikidata_label:
business
Source:
IPTC Subject
Topic:
Politics
Score:
51
Magnitude:
0.122
Code:
11000000
Url:
https://cv.iptc.org/newscodes/subjectcode/11000000
Wikidata_id:
Q7163
Wikidata_label:
politics
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
7.6
Flesch-Kincaid Ease
72.4
Gunning-Fog Score
9.3
Coleman-Liau Index
8
SMOG Index
9.4
Automated Readability Index
6.4
Dale-Chall Readability Score
2.7
Sprache Readability Score
3.9
Dale-Chall Difficult Word Score
12
Sprache Difficult Word Count
14
Donald Trump
00:27:14-00:27:27 (13 sec)No Signal (0.861)
So thank you very much. And we're very proud of the people around this table. And, Ivanka, I want to thank you for your leadership, also. You have done a fantastic job of putting everything together. And, Chris, thank you very much. We appreciate it.
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
0.952
Very Positive
Moderation
Sexual
0.251585478
OpenAI Moderation v1 (007)
Harassment
0.1118379529
OpenAI Moderation v1 (007)
Violence
0.0257955253
OpenAI Moderation v1 (007)
Sexual > Minors
0.0078228884
OpenAI Moderation v1 (007)
Violence > Graphic
0.0033545599
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0023332592
OpenAI Moderation v1 (007)
Hate
0.0013318703
OpenAI Moderation v1 (007)
Self-Harm
9.53044E-5
OpenAI Moderation v1 (007)
Hate > Threatening
4.53276E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.69356E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.46425E-5
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
5.2
Flesch-Kincaid Ease
71.4
Gunning-Fog Score
7.4
Coleman-Liau Index
9.6
SMOG Index
9
Automated Readability Index
2.6
Dale-Chall Readability Score
2.1
Sprache Readability Score
2.1
Dale-Chall Difficult Word Score
5
Sprache Difficult Word Count
7
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
0.0813689141
OpenAI Moderation v1 (007)
Harassment
0.0067313405
OpenAI Moderation v1 (007)
Violence
0.0053499087
OpenAI Moderation v1 (007)
Violence > Graphic
0.0012816396
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0005901661
OpenAI Moderation v1 (007)
Sexual > Minors
0.0005282217
OpenAI Moderation v1 (007)
Self-Harm
0.0001972602
OpenAI Moderation v1 (007)
Hate
0.0001410739
OpenAI Moderation v1 (007)
Self-Harm > Intent
8.53739E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
5.31769E-5
OpenAI Moderation v1 (007)
Hate > Threatening
3.8369E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
0
Flesch-Kincaid Ease
100
Gunning-Fog Score
1.2
Coleman-Liau Index
5.7
SMOG Index
3.3
Automated Readability Index
0
Dale-Chall Readability Score
0.1
Sprache Readability Score
1.1
Dale-Chall Difficult Word Score
0
Sprache Difficult Word Count
1
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
0.0259544468
OpenAI Moderation v1 (007)
Harassment
0.0005860628
OpenAI Moderation v1 (007)
Violence
0.0003905454
OpenAI Moderation v1 (007)
Violence > Graphic
0.0002297805
OpenAI Moderation v1 (007)
Sexual > Minors
0.000165085
OpenAI Moderation v1 (007)
Self-Harm
0.0001274816
OpenAI Moderation v1 (007)
Self-Harm > Intent
4.22409E-5
OpenAI Moderation v1 (007)
Harassment > Threatening
3.54323E-5
OpenAI Moderation v1 (007)
Hate
2.11994E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.13458E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.111E-7
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
6.4
Gunning-Fog Score
14.5
Coleman-Liau Index
12
SMOG Index
9
Automated Readability Index
6.8
Dale-Chall Readability Score
0.1
Sprache Readability Score
1.1
Dale-Chall Difficult Word Score
0
Sprache Difficult Word Count
1
Question
00:27:29-00:27:34 (5 sec)No StressLens
Judge Kavanaugh, Mr. President. Judge Kavanaugh -- do you believe the allegations against Judge Kavanaugh?
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
Sexual
0.0364109001
OpenAI Moderation v1 (007)
Sexual > Minors
0.0253051869
OpenAI Moderation v1 (007)
Violence
0.0142715726
OpenAI Moderation v1 (007)
Harassment
0.012334116
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0003122954
OpenAI Moderation v1 (007)
Hate
0.0002827601
OpenAI Moderation v1 (007)
Violence > Graphic
0.0001413536
OpenAI Moderation v1 (007)
Self-Harm
3.91065E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
3.07518E-5
OpenAI Moderation v1 (007)
Hate > Threatening
6.2088E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.3408E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Crime, Law and Justice > Judiciary (System of Justice)
Score:
100
Magnitude:
1
Code:
2002000
Url:
https://cv.iptc.org/newscodes/subjectcode/02002000
Wikidata_id:
Q105985
Wikidata_label:
judiciary
Source:
IPTC Subject
Topic:
Civil Rights
Score:
20.694
Magnitude:
15
Code:
2
Url:
https://fsc.al/cap-mc#2
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
8.1
Flesch-Kincaid Ease
45
Gunning-Fog Score
4.7
Coleman-Liau Index
12
SMOG Index
9.9
Automated Readability Index
9.8
Dale-Chall Readability Score
7
Sprache Readability Score
1.6
Dale-Chall Difficult Word Score
6
Sprache Difficult Word Count
5
Donald Trump
00:27:34-00:27:47 (13 sec)Weak (1.342)
Judge Kavanaugh is one of the finest people that I've ever known. He's an outstanding intellect, an outstanding judge. Respected by everybody. Never had even a little blemish on his record.
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
0.934
Very Positive
Moderation
Harassment
0.0034085875
OpenAI Moderation v1 (007)
Violence
0.0029123461
OpenAI Moderation v1 (007)
Sexual
0.0001464186
OpenAI Moderation v1 (007)
Violence > Graphic
9.06586E-5
OpenAI Moderation v1 (007)
Harassment > Threatening
5.02082E-5
OpenAI Moderation v1 (007)
Hate
2.09225E-5
OpenAI Moderation v1 (007)
Sexual > Minors
7.8503E-6
OpenAI Moderation v1 (007)
Self-Harm
2.32E-7
OpenAI Moderation v1 (007)
Hate > Threatening
5.5E-8
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.81E-8
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.8E-9
OpenAI Moderation v1 (007)
Topics
Topic:
Crime, Law and Justice > Judiciary (System of Justice)
Score:
100
Magnitude:
0.135
Code:
2002000
Url:
https://cv.iptc.org/newscodes/subjectcode/02002000
Wikidata_id:
Q105985
Wikidata_label:
judiciary
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
7.6
Flesch-Kincaid Ease
54.3
Gunning-Fog Score
9.6
Coleman-Liau Index
12
SMOG Index
10.3
Automated Readability Index
5.5
Dale-Chall Readability Score
4.5
Sprache Readability Score
2.5
Dale-Chall Difficult Word Score
8
Sprache Difficult Word Count
11
Donald Trump
00:27:47-00:28:03 (16 sec)Weak (1.135)
The FBI has, I think, gone through a process six times with him over the years where he went to higher and higher positions. He is somebody very special. At the same time, we want to go through a process. We want to make sure everything is perfect, everything is just right.
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)
2.19722
VADER
0.861
Very Positive
Moderation
Violence
0.0102018421
OpenAI Moderation v1 (007)
Harassment
0.0038048423
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0016585967
OpenAI Moderation v1 (007)
Violence > Graphic
0.0015698215
OpenAI Moderation v1 (007)
Hate
0.0011315195
OpenAI Moderation v1 (007)
Sexual
0.0004846359
OpenAI Moderation v1 (007)
Sexual > Minors
4.15063E-5
OpenAI Moderation v1 (007)
Hate > Threatening
3.9881E-6
OpenAI Moderation v1 (007)
Self-Harm
3.4234E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
6.191E-7
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.08E-8
OpenAI Moderation v1 (007)
Topics
Topic:
Crime, Law and Justice > Justice and Rights
Score:
100
Magnitude:
0.108
Code:
2007000
Url:
https://cv.iptc.org/newscodes/subjectcode/02007000
Wikidata_id:
Q5167661
Wikidata_label:
justice
Source:
IPTC Subject
Topic:
Law and Crime
Score:
92.081
Magnitude:
52
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Topic:
Social Issue > People
Score:
59
Magnitude:
0.064
Code:
14024000
Url:
https://cv.iptc.org/newscodes/subjectcode/14024000
Wikidata_id:
Q1156970
Wikidata_label:
humanity
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
5.6
Flesch-Kincaid Ease
78.1
Gunning-Fog Score
8.3
Coleman-Liau Index
8.5
SMOG Index
9
Automated Readability Index
4.5
Dale-Chall Readability Score
3.1
Sprache Readability Score
2.6
Dale-Chall Difficult Word Score
8
Sprache Difficult Word Count
5
Donald Trump
00:28:03-00:28:20 (17 sec)No Signal (0.984)
I wish the Democrats could have done this a lot sooner, because they had this information for many months and they shouldn't have waited until literally the last days. They should have done it a lot sooner. But with all of that being said, we want to go through the process.
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
0.459
Positive
Moderation
Harassment
0.1147121773
OpenAI Moderation v1 (007)
Violence
0.0289410469
OpenAI Moderation v1 (007)
Hate
0.0124685816
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0045238914
OpenAI Moderation v1 (007)
Violence > Graphic
0.0013245073
OpenAI Moderation v1 (007)
Sexual
0.0009763145
OpenAI Moderation v1 (007)
Hate > Threatening
9.51149E-5
OpenAI Moderation v1 (007)
Sexual > Minors
5.46329E-5
OpenAI Moderation v1 (007)
Self-Harm
3.6761E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.5794E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.55E-8
OpenAI Moderation v1 (007)
Topics
Topic:
Government Operations
Score:
49.984
Magnitude:
51
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
6.8
Flesch-Kincaid Ease
76.8
Gunning-Fog Score
8.4
Coleman-Liau Index
9.4
SMOG Index
9
Automated Readability Index
7.2
Dale-Chall Readability Score
3
Sprache Readability Score
3.4
Dale-Chall Difficult Word Score
7
Sprache Difficult Word Count
8
Donald Trump
00:28:20-00:28:41 (21 sec)Weak (1.221)
One thing I will say is that, as I understand it, Judge Kavanaugh spent quite a bit of time with Senator Feinstein, and it wasn't even brought up at that meeting. And she had this information. So you would have thought, certainly, that she would have brought it up at the meeting, not wait until everything is finished and then have to start a process all over again.
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 Positive
Moderation
Harassment
0.0209155725
OpenAI Moderation v1 (007)
Violence > Graphic
0.0181508411
OpenAI Moderation v1 (007)
Violence
0.0137000548
OpenAI Moderation v1 (007)
Sexual
0.0031216256
OpenAI Moderation v1 (007)
Sexual > Minors
0.0004860347
OpenAI Moderation v1 (007)
Hate
0.0003601805
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0003192859
OpenAI Moderation v1 (007)
Self-Harm
3.0328E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.28605E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
7.2066E-6
OpenAI Moderation v1 (007)
Hate > Threatening
4.287E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Crime, Law and Justice > Judiciary (System of Justice)
Score:
100
Magnitude:
0.161
Code:
2002000
Url:
https://cv.iptc.org/newscodes/subjectcode/02002000
Wikidata_id:
Q105985
Wikidata_label:
judiciary
Source:
IPTC Subject
Topic:
Politics > Parliament
Score:
74
Magnitude:
0.119
Code:
11009000
Url:
https://cv.iptc.org/newscodes/subjectcode/11009000
Wikidata_id:
Q35749
Wikidata_label:
parliament
Source:
IPTC Subject
Topic:
Government Operations
Score:
23.43
Magnitude:
68
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
9.2
Flesch-Kincaid Ease
69.4
Gunning-Fog Score
12
Coleman-Liau Index
9.3
SMOG Index
12
Automated Readability Index
10
Dale-Chall Readability Score
2.5
Sprache Readability Score
4.4
Dale-Chall Difficult Word Score
6
Sprache Difficult Word Count
12
Donald Trump
00:28:41-00:28:55 (15 sec)Weak (1.097)
But with all of it being said, we want to go through a full process. I have great confidence in the U.S. Senate and in their procedures and what they're doing. And I think that's probably what they're going to do. They'll go through a process and hear everybody out.
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
0.827
Very Positive
Moderation
Violence
0.0126966377
OpenAI Moderation v1 (007)
Violence > Graphic
0.0111227491
OpenAI Moderation v1 (007)
Sexual
0.0036278747
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0032139698
OpenAI Moderation v1 (007)
Harassment
0.0016244072
OpenAI Moderation v1 (007)
Sexual > Minors
0.0002985724
OpenAI Moderation v1 (007)
Hate
0.0001172015
OpenAI Moderation v1 (007)
Hate > Threatening
9.2599E-5
OpenAI Moderation v1 (007)
Self-Harm
2.19688E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.8976E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
5.58E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Parliament
Score:
100
Magnitude:
0.164
Code:
11009000
Url:
https://cv.iptc.org/newscodes/subjectcode/11009000
Wikidata_id:
Q35749
Wikidata_label:
parliament
Source:
IPTC Subject
Topic:
Politics > Parliament > Upper House
Score:
55
Magnitude:
0.09
Code:
11009001
Url:
https://cv.iptc.org/newscodes/subjectcode/11009001
Wikidata_id:
Q637846
Wikidata_label:
upper house
Source:
IPTC Subject
Topic:
Government Operations
Score:
53.405
Magnitude:
51
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
2.8
Flesch-Kincaid Ease
90.4
Gunning-Fog Score
6.5
Coleman-Liau Index
8
SMOG Index
7.9
Automated Readability Index
1.8
Dale-Chall Readability Score
2.6
Sprache Readability Score
2.5
Dale-Chall Difficult Word Score
7
Sprache Difficult Word Count
10
Donald Trump
00:28:55-00:29:13 (18 sec)No Signal (0.759)
I think it's important. I believe they think it's important. But again, he is one of the great intellects and one of the finest people that anybody has known. You look at his references; I've never seen anything quite like it. So they'll go through that process and we'll get it done.
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
0.906
Very Positive
Moderation
Harassment
0.0202392504
OpenAI Moderation v1 (007)
Violence
0.0175215828
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0075932418
OpenAI Moderation v1 (007)
Hate
0.0006685374
OpenAI Moderation v1 (007)
Violence > Graphic
0.0006135205
OpenAI Moderation v1 (007)
Sexual
0.0005239762
OpenAI Moderation v1 (007)
Hate > Threatening
1.32931E-5
OpenAI Moderation v1 (007)
Self-Harm
5.4576E-6
OpenAI Moderation v1 (007)
Sexual > Minors
1.9968E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.5197E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.3E-8
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
4.8
Flesch-Kincaid Ease
79.1
Gunning-Fog Score
8.8
Coleman-Liau Index
9.2
SMOG Index
9.5
Automated Readability Index
3.8
Dale-Chall Readability Score
2
Sprache Readability Score
2.7
Dale-Chall Difficult Word Score
5
Sprache Difficult Word Count
10
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
-0.226
Slightly Negative
Moderation
Violence
0.0332149531
OpenAI Moderation v1 (007)
Sexual
0.0104910279
OpenAI Moderation v1 (007)
Hate
0.0094159812
OpenAI Moderation v1 (007)
Harassment
0.0046559391
OpenAI Moderation v1 (007)
Hate > Threatening
0.004571797
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0022834463
OpenAI Moderation v1 (007)
Sexual > Minors
0.002180911
OpenAI Moderation v1 (007)
Violence > Graphic
0.0007837825
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0002595686
OpenAI Moderation v1 (007)
Self-Harm
0.0001257602
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.2306E-5
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
0.7
Flesch-Kincaid Ease
97
Gunning-Fog Score
1.6
Coleman-Liau Index
9.2
SMOG Index
3.3
Automated Readability Index
0.6
Dale-Chall Readability Score
4.1
Sprache Readability Score
1.2
Dale-Chall Difficult Word Score
1
Sprache Difficult Word Count
1
Donald Trump
00:29:14-00:29:37 (23 sec)Weak (1.066)
I don't know. It depends on the process. I'd like to see a complete process. I'd like everybody to be very happy. Most importantly, I want the American people to be happy, because they're getting somebody that is great. I want him to go in at the absolute highest level. And I think to do that, you have to go through this. If it takes a little delay, it will take a little delay. It shouldn't certainly be very much.
Sentiment
Loughran McDonald (Relative)
0.42857
Positive
Loughran McDonald (Absolute)
0.42857
Positive
Loughran McDonald (Logit)
0.78846
Harvard-IV (Relative)
0.45455
Positive
Harvard-IV (Absolute)
0.45455
Positive
Harvard-IV (Logit)
0.8873
VADER
0.952
Very Positive
Moderation
Harassment
0.0085327614
OpenAI Moderation v1 (007)
Violence
0.005148452
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0029930487
OpenAI Moderation v1 (007)
Violence > Graphic
0.0018336948
OpenAI Moderation v1 (007)
Hate
0.0016691247
OpenAI Moderation v1 (007)
Sexual
0.0007304518
OpenAI Moderation v1 (007)
Sexual > Minors
6.63338E-5
OpenAI Moderation v1 (007)
Hate > Threatening
6.30826E-5
OpenAI Moderation v1 (007)
Self-Harm
1.2519E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.4591E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.105E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Government Operations
Score:
27.257
Magnitude:
80
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
4.8
Flesch-Kincaid Ease
76.2
Gunning-Fog Score
6.1
Coleman-Liau Index
7.7
SMOG Index
7.9
Automated Readability Index
1.9
Dale-Chall Readability Score
2.6
Sprache Readability Score
3
Dale-Chall Difficult Word Score
11
Sprache Difficult Word Count
16
Donald Trump
00:29:37-00:29:54 (17 sec)No Signal (0.75)
But again, this is something that should have been brought up long before this. They had the information in July, as I understand it. That's a long time ago. And nobody mentioned it until the other day. It's very -- you know, it's very unfortunate that they didn't mention it sooner.
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
-0.505
Very Negative
Moderation
Harassment
0.0606997462
OpenAI Moderation v1 (007)
Violence
0.0163498058
OpenAI Moderation v1 (007)
Sexual
0.0090958558
OpenAI Moderation v1 (007)
Violence > Graphic
0.0051715251
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0038424289
OpenAI Moderation v1 (007)
Hate
0.0036337748
OpenAI Moderation v1 (007)
Self-Harm
0.0017301951
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0014538486
OpenAI Moderation v1 (007)
Sexual > Minors
0.0003594026
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.96053E-5
OpenAI Moderation v1 (007)
Hate > Threatening
9.7813E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Law and Crime
Score:
78.047
Magnitude:
51
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
5.8
Flesch-Kincaid Ease
71.5
Gunning-Fog Score
8
Coleman-Liau Index
10
SMOG Index
9
Automated Readability Index
4.2
Dale-Chall Readability Score
2.4
Sprache Readability Score
2.5
Dale-Chall Difficult Word Score
6
Sprache Difficult Word Count
8
Donald Trump
00:29:54-00:30:04 (10 sec)No Signal (0)
But with all of that being said, it will, I'm sure, work out very well. You're talking about an individual who is as high a quality individual as you'll ever see.
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
0.567
Very Positive
Moderation
Harassment
0.1948685967
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0068395406
OpenAI Moderation v1 (007)
Violence
0.0040016344
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0024679608
OpenAI Moderation v1 (007)
Sexual
0.0024351115
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0013829984
OpenAI Moderation v1 (007)
Self-Harm
0.0011343642
OpenAI Moderation v1 (007)
Hate
0.0005814461
OpenAI Moderation v1 (007)
Violence > Graphic
0.0001871081
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001290416
OpenAI Moderation v1 (007)
Hate > Threatening
1.4992E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Labor > Employment
Score:
100
Magnitude:
0.079
Code:
9003000
Url:
https://cv.iptc.org/newscodes/subjectcode/09003000
Wikidata_id:
Q656365
Wikidata_label:
employment
Source:
IPTC Subject
Topic:
Economy, Business and Finance > Financial and Business Service > Personal Finance
Score:
82
Magnitude:
0.065
Code:
4006018
Url:
https://cv.iptc.org/newscodes/subjectcode/04006018
Wikidata_id:
Q253613
Wikidata_label:
personal finance
Source:
IPTC Subject
Topic:
Arts, Culture and Entertainment > Mass Media > News Media
Score:
73
Magnitude:
0.058
Code:
1026002
Url:
https://cv.iptc.org/newscodes/subjectcode/01026002
Wikidata_id:
Q1193236
Wikidata_label:
news media
Source:
IPTC Subject
Topic:
Arts, Culture and Entertainment > Culture (General)
Score:
64
Magnitude:
0.051
Code:
1022000
Url:
https://cv.iptc.org/newscodes/subjectcode/01022000
Wikidata_id:
Q11042
Wikidata_label:
culture
Source:
IPTC Subject
Topic:
Government Operations
Score:
30.217
Magnitude:
31
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
8
Flesch-Kincaid Ease
65.6
Gunning-Fog Score
10.1
Coleman-Liau Index
7.7
SMOG Index
10.3
Automated Readability Index
5.2
Dale-Chall Readability Score
3.3
Sprache Readability Score
3.1
Dale-Chall Difficult Word Score
5
Sprache Difficult Word Count
7
Question
00:30:04-00:30:10 (6 sec)No StressLens
Have you spoken to him today? Have you spoken to him today? Have you spoken with Judge Kavanaugh?
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
0.2174570924
OpenAI Moderation v1 (007)
Harassment
0.0198335998
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0078880446
OpenAI Moderation v1 (007)
Sexual
0.0054592558
OpenAI Moderation v1 (007)
Violence > Graphic
0.0033263295
OpenAI Moderation v1 (007)
Sexual > Minors
0.0032280717
OpenAI Moderation v1 (007)
Hate > Threatening
0.0005808841
OpenAI Moderation v1 (007)
Hate
0.0002935535
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0001189384
OpenAI Moderation v1 (007)
Self-Harm
4.2417E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.70784E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Crime, Law and Justice > Judiciary (System of Justice)
Score:
100
Magnitude:
0.646
Code:
2002000
Url:
https://cv.iptc.org/newscodes/subjectcode/02002000
Wikidata_id:
Q105985
Wikidata_label:
judiciary
Source:
IPTC Subject
Topic:
Crime, Law and Justice > Judiciary (System of Justice) > Judge
Score:
95
Magnitude:
0.611
Code:
2002002
Url:
https://cv.iptc.org/newscodes/subjectcode/02002002
Wikidata_id:
Q16533
Wikidata_label:
judge
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
3.1
Flesch-Kincaid Ease
83.2
Gunning-Fog Score
2.4
Coleman-Liau Index
9.3
SMOG Index
6.6
Automated Readability Index
1.7
Dale-Chall Readability Score
3.8
Sprache Readability Score
1.6
Dale-Chall Difficult Word Score
4
Sprache Difficult Word Count
3
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
0.0187508267
OpenAI Moderation v1 (007)
Violence
0.0018490917
OpenAI Moderation v1 (007)
Sexual
0.0007844219
OpenAI Moderation v1 (007)
Sexual > Minors
8.43608E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
6.77096E-5
OpenAI Moderation v1 (007)
Hate
2.64548E-5
OpenAI Moderation v1 (007)
Self-Harm
2.63328E-5
OpenAI Moderation v1 (007)
Violence > Graphic
2.61527E-5
OpenAI Moderation v1 (007)
Harassment > Threatening
1.49316E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.7186E-6
OpenAI Moderation v1 (007)
Hate > Threatening
9.4E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Crime, Law and Justice > Judiciary (System of Justice)
Score:
100
Magnitude:
0.646
Code:
2002000
Url:
https://cv.iptc.org/newscodes/subjectcode/02002000
Wikidata_id:
Q105985
Wikidata_label:
judiciary
Source:
IPTC Subject
Topic:
Crime, Law and Justice > Judiciary (System of Justice) > Judge
Score:
95
Magnitude:
0.611
Code:
2002002
Url:
https://cv.iptc.org/newscodes/subjectcode/02002002
Wikidata_id:
Q16533
Wikidata_label:
judge
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
4
Flesch-Kincaid Ease
78.9
Gunning-Fog Score
2.8
Coleman-Liau Index
9.4
SMOG Index
9
Automated Readability Index
2.3
Dale-Chall Readability Score
4.9
Sprache Readability Score
1.8
Dale-Chall Difficult Word Score
2
Sprache Difficult Word Count
3
Question
00:30:12-00:30:15 (3 sec)No StressLens
Do you know if he's offered to withdraw from the process? Has he offered to withdraw?
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
Neutral
Moderation
Violence
0.0107794753
OpenAI Moderation v1 (007)
Sexual
0.0050464849
OpenAI Moderation v1 (007)
Harassment
0.0014120636
OpenAI Moderation v1 (007)
Sexual > Minors
0.0007569469
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0007218207
OpenAI Moderation v1 (007)
Self-Harm
0.0002363936
OpenAI Moderation v1 (007)
Violence > Graphic
0.0001362608
OpenAI Moderation v1 (007)
Hate
0.0001342905
OpenAI Moderation v1 (007)
Hate > Threatening
0.0001078065
OpenAI Moderation v1 (007)
Self-Harm > Intent
8.30279E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.70964E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Government Operations
Score:
21.685
Magnitude:
16
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
3
Flesch-Kincaid Ease
87.7
Gunning-Fog Score
3.2
Coleman-Liau Index
8.8
SMOG Index
3.3
Automated Readability Index
2.3
Dale-Chall Readability Score
5.3
Sprache Readability Score
1.9
Dale-Chall Difficult Word Score
5
Sprache Difficult Word Count
3
Donald Trump
00:30:15-00:30:17 (2 sec)No StressLens
Next question. What a ridiculous question that was.
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)
-1.94591
VADER
-0.361
Somewhat Negative
Moderation
Harassment
19.1992670298
OpenAI Moderation v1 (007)
Hate
0.0437783398
OpenAI Moderation v1 (007)
Sexual
0.0120771765
OpenAI Moderation v1 (007)
Violence
0.0019892714
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0001579079
OpenAI Moderation v1 (007)
Violence > Graphic
8.2119E-5
OpenAI Moderation v1 (007)
Sexual > Minors
8.04392E-5
OpenAI Moderation v1 (007)
Self-Harm
5.126E-7
OpenAI Moderation v1 (007)
Self-Harm > Intent
3.254E-7
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.61E-8
OpenAI Moderation v1 (007)
Hate > Threatening
7.9E-9
OpenAI Moderation v1 (007)
Topics
Topic:
Human Interest > Curiosity
Score:
100
Magnitude:
0.141
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
5.1
Flesch-Kincaid Ease
65.3
Gunning-Fog Score
6.6
Coleman-Liau Index
12
SMOG Index
7.3
Automated Readability Index
5.3
Dale-Chall Readability Score
2.2
Sprache Readability Score
1.3
Dale-Chall Difficult Word Score
1
Sprache Difficult Word Count
2
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
0.0231425001
OpenAI Moderation v1 (007)
Violence
0.0068954287
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0054835073
OpenAI Moderation v1 (007)
Sexual
0.0031318919
OpenAI Moderation v1 (007)
Hate
0.0007219239
OpenAI Moderation v1 (007)
Hate > Threatening
0.0003776073
OpenAI Moderation v1 (007)
Sexual > Minors
0.0002433019
OpenAI Moderation v1 (007)
Violence > Graphic
0.0001079934
OpenAI Moderation v1 (007)
Self-Harm
1.0877E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
3.042E-7
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.41E-8
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
5
Flesch-Kincaid Ease
75.5
Gunning-Fog Score
8
Coleman-Liau Index
9.7
SMOG Index
9
Automated Readability Index
3.5
Dale-Chall Readability Score
2.2
Sprache Readability Score
1.8
Dale-Chall Difficult Word Score
1
Sprache Difficult Word Count
1
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
0.0550644414
OpenAI Moderation v1 (007)
Sexual
0.0211932638
OpenAI Moderation v1 (007)
Hate
0.0190504841
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0032276286
OpenAI Moderation v1 (007)
Violence
0.0027775637
OpenAI Moderation v1 (007)
Sexual > Minors
0.0018934265
OpenAI Moderation v1 (007)
Violence > Graphic
0.0006765888
OpenAI Moderation v1 (007)
Self-Harm
0.0006633355
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0003303574
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.43214E-5
OpenAI Moderation v1 (007)
Hate > Threatening
2.90666E-5
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
0
Flesch-Kincaid Ease
100
Gunning-Fog Score
0.8
Coleman-Liau Index
0
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
Question
00:30:20-00:30:22 (2 sec)No StressLens
Do you think his path towards confirmation is on track?
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
0.0080362573
OpenAI Moderation v1 (007)
Harassment > Threatening
0.003328186
OpenAI Moderation v1 (007)
Violence
0.0025327938
OpenAI Moderation v1 (007)
Hate
0.0003915885
OpenAI Moderation v1 (007)
Sexual
0.0003673516
OpenAI Moderation v1 (007)
Violence > Graphic
9.63097E-5
OpenAI Moderation v1 (007)
Sexual > Minors
2.02668E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.62049E-5
OpenAI Moderation v1 (007)
Self-Harm
2.136E-7
OpenAI Moderation v1 (007)
Self-Harm > Intent
4.61E-8
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.2E-9
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
4.8
Flesch-Kincaid Ease
78.2
Gunning-Fog Score
8
Coleman-Liau Index
10.7
SMOG Index
9
Automated Readability Index
4.8
Dale-Chall Readability Score
2.1
Sprache Readability Score
2
Dale-Chall Difficult Word Score
1
Sprache Difficult Word Count
1
Donald Trump
00:30:22-00:30:31 (9 sec)Medium (1.633)
Oh, I think he's on track, yeah. I mean, I think he's very much on track. If they delay it a little bit just to make sure everybody is happy -- they want to be happy.
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
0.872
Very Positive
Moderation
Violence
0.0072471157
OpenAI Moderation v1 (007)
Harassment
0.0029820994
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0021600714
OpenAI Moderation v1 (007)
Sexual
0.0020452144
OpenAI Moderation v1 (007)
Violence > Graphic
0.0014228875
OpenAI Moderation v1 (007)
Sexual > Minors
0.0006704624
OpenAI Moderation v1 (007)
Self-Harm
0.0005222874
OpenAI Moderation v1 (007)
Hate
0.0004527271
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001084052
OpenAI Moderation v1 (007)
Hate > Threatening
1.87755E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
9.389E-7
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
3.8
Flesch-Kincaid Ease
88.6
Gunning-Fog Score
5.8
Coleman-Liau Index
4.5
SMOG Index
6.6
Automated Readability Index
0.7
Dale-Chall Readability Score
1.5
Sprache Readability Score
2.3
Dale-Chall Difficult Word Score
2
Sprache Difficult Word Count
3
Donald Trump
00:30:31-00:30:43 (13 sec)Weak (1.018)
I can tell you, the Republican senators want to be 100 percent happy themselves. They're doing it very, very professionally. Again, this should have been brought up a long time ago. Thank you. Thank you very much everybody.
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
0.84
Very Positive
Moderation
Sexual
0.0502773153
OpenAI Moderation v1 (007)
Harassment
0.0287402101
OpenAI Moderation v1 (007)
Violence > Graphic
0.0064734581
OpenAI Moderation v1 (007)
Violence
0.0036303562
OpenAI Moderation v1 (007)
Hate
0.0013302393
OpenAI Moderation v1 (007)
Sexual > Minors
0.0007690819
OpenAI Moderation v1 (007)
Self-Harm
0.0003619207
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0002825088
OpenAI Moderation v1 (007)
Self-Harm > Intent
8.35112E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.4405E-5
OpenAI Moderation v1 (007)
Hate > Threatening
2.28478E-5
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
Readability
Flesch-Kincaid Grade
5.7
Flesch-Kincaid Ease
67.8
Gunning-Fog Score
6.2
Coleman-Liau Index
11.1
SMOG Index
8.4
Automated Readability Index
3.9
Dale-Chall Readability Score
2.9
Sprache Readability Score
2.2
Dale-Chall Difficult Word Score
6
Sprache Difficult Word Count
8
Question
00:30:43-00:30:47 (4 sec)No StressLens
The $200 billion in tariffs, are you going to do all two-hundred?
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
Neutral
Moderation
Violence
1.5866426751
OpenAI Moderation v1 (007)
Harassment
1.0513469577
OpenAI Moderation v1 (007)
Harassment > Threatening
0.6259494461
OpenAI Moderation v1 (007)
Violence > Graphic
0.0227374388
OpenAI Moderation v1 (007)
Hate
0.0199449001
OpenAI Moderation v1 (007)
Hate > Threatening
0.0097756696
OpenAI Moderation v1 (007)
Sexual
0.0030551309
OpenAI Moderation v1 (007)
Self-Harm
0.0001590359
OpenAI Moderation v1 (007)
Sexual > Minors
7.28676E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
3.26947E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
5.7464E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Foreign Trade
Score:
74.523
Magnitude:
11
Code:
18
Url:
https://fsc.al/cap-mc#18
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
4
Flesch-Kincaid Ease
89.5
Gunning-Fog Score
8.3
Coleman-Liau Index
5.5
SMOG Index
9
Automated Readability Index
2.1
Dale-Chall Readability Score
3.1
Sprache Readability Score
2.5
Dale-Chall Difficult Word Score
2
Sprache Difficult Word Count
3
Donald Trump
00:30:47-00:31:09 (21 sec)No Signal (0.709)
Yeah, you're going to see on China today, right after close of business, we'll be announcing something. And it will be a lot of money coming into the coffers of the United States of America. A lot of money coming in. But you'll be seeing what we're doing right after close of business today -- the markets closing. 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)
2.3979
VADER
0.758
Very Positive
Moderation
Violence
0.0157672868
OpenAI Moderation v1 (007)
Harassment
0.0153735717
OpenAI Moderation v1 (007)
Sexual
0.0063848805
OpenAI Moderation v1 (007)
Hate
0.0047858081
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0035136625
OpenAI Moderation v1 (007)
Violence > Graphic
0.0016890894
OpenAI Moderation v1 (007)
Hate > Threatening
9.07011E-5
OpenAI Moderation v1 (007)
Sexual > Minors
2.52307E-5
OpenAI Moderation v1 (007)
Self-Harm
1.0563E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.409E-7
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.037E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance > Company Information > Bankruptcy
Score:
100
Magnitude:
0.292
Code:
4016007
Url:
https://cv.iptc.org/newscodes/subjectcode/04016007
Wikidata_id:
Q152074
Wikidata_label:
bankruptcy
Source:
IPTC Subject
Topic:
Economy, Business and Finance > Macro Economics > Business Enterprises
Score:
64
Magnitude:
0.186
Code:
4008034
Url:
https://cv.iptc.org/newscodes/subjectcode/04008034
Wikidata_id:
Q4830453
Wikidata_label:
business
Source:
IPTC Subject
Topic:
Economy, Business and Finance
Score:
56
Magnitude:
0.163
Code:
4000000
Url:
https://cv.iptc.org/newscodes/subjectcode/04000000
Wikidata_id:
Q159810
Wikidata_label:
economy
Source:
IPTC Subject
Topic:
Economy, Business and Finance > Economy (General)
Score:
51
Magnitude:
0.15
Code:
4017000
Url:
https://cv.iptc.org/newscodes/subjectcode/04017000
Wikidata_id:
Q159810
Wikidata_label:
economy
Source:
IPTC Subject
Topic:
International Affairs
Score:
37.241
Magnitude:
60
Code:
19
Url:
https://fsc.al/cap-mc#19
Source:
Comparative Agendas
Topic:
Foreign Trade
Score:
31.301
Magnitude:
60
Code:
18
Url:
https://fsc.al/cap-mc#18
Source:
Comparative Agendas
Topic:
International Affairs
Score:
23.546
Magnitude:
60
Code:
19
Url:
https://fsc.al/cap-mc#19
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
6
Flesch-Kincaid Ease
73
Gunning-Fog Score
6.8
Coleman-Liau Index
9.3
SMOG Index
9
Automated Readability Index
4.6
Dale-Chall Readability Score
3
Sprache Readability Score
3.5
Dale-Chall Difficult Word Score
9
Sprache Difficult Word Count
17
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
Self-Harm > Intent
2.970100753
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.7050752416
OpenAI Moderation v1 (007)
Self-Harm
1.4043072239
OpenAI Moderation v1 (007)
Sexual > Minors
0.9441385046
OpenAI Moderation v1 (007)
Sexual
0.9098693728
OpenAI Moderation v1 (007)
Hate
0.6551633123
OpenAI Moderation v1 (007)
Harassment
0.2246111166
OpenAI Moderation v1 (007)
Hate > Threatening
0.14413381
OpenAI Moderation v1 (007)
Violence
0.129528984
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0909935974
OpenAI Moderation v1 (007)
Violence > Graphic
0.0488099467
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
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
0.1011532149
OpenAI Moderation v1 (007)
Violence
0.0174637724
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0116334159
OpenAI Moderation v1 (007)
Self-Harm
0.0092392751
OpenAI Moderation v1 (007)
Violence > Graphic
0.0046011592
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0042253661
OpenAI Moderation v1 (007)
Harassment
0.0038852555
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.00379267
OpenAI Moderation v1 (007)
Sexual > Minors
0.0011275897
OpenAI Moderation v1 (007)
Hate
0.0001757041
OpenAI Moderation v1 (007)
Hate > Threatening
6.84563E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance > Financial and Business Service > Personal Finance
Score:
100
Magnitude:
0.064
Code:
4006018
Url:
https://cv.iptc.org/newscodes/subjectcode/04006018
Wikidata_id:
Q253613
Wikidata_label:
personal finance
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
0
Flesch-Kincaid Ease
100
Gunning-Fog Score
1.2
Coleman-Liau Index
7.7
SMOG Index
3.3
Automated Readability Index
0
Dale-Chall Readability Score
0.1
Sprache Readability Score
1.1
Dale-Chall Difficult Word Score
0
Sprache Difficult Word Count
1