Fact
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.
se
Donald J. Trump
Remarks: Donald Trump Speaks Before a Cabinet Meeting - January 10, 2018
StressLens
10 Topics
Entities
Moderation
1 Speaker
Topics
Crime, Law and Justice > Judiciary (System of Justice)
Labor > Employment
Health > Healthcare Policy
Arts, Culture and Entertainment > Literature
Economy, Business and Finance > Market and Exchange > Securities
Labor > Unions
Labor > Health and Safety at Work
Labor > Labor Legislation
Economy, Business and Finance > Macro Economics > Loan Market
Crime, Law and Justice > Justice and Rights
Entities
No entities found
Moderation
No moderation found
Speakers
Donald Trump Donald Trump said 125 sentences of a total of 125 sentences.
100%
Donald Trump said 1650 words of a total of 1650 words.
100%
Donald Trump talked 716 seconds of a total of 715 seconds.
101%
Full Transcript
Donald Trump
00:00:00-00:00:34 (35 sec)No StressLens
Welcome back to the studio. Nice to have you. (Laughter.) Good morning, and welcome to our first Cabinet meeting of the New Year. 2017 was a year of tremendous achievement -- monumental achievement, actually. I don't think any administration has ever done -- has done what we've done and what we've accomplished in its first year, which isn't quite finished yet. You never know what's going to happen over the next few days. And the achievements for our country, our people, and for our standing in the world have been very monumental.
Sentiment
Loughran McDonald (Relative)
0.66667
Very Positive
Loughran McDonald (Absolute)
0.66667
Very Positive
Loughran McDonald (Logit)
1.29928
Harvard-IV (Relative)
0.88235
Very Positive
Harvard-IV (Absolute)
0.88235
Very Positive
Harvard-IV (Logit)
2.3979
VADER
0.927
Very Positive
Moderation
Harassment
0.0164828569
OpenAI Moderation v1 (007)
Violence
0.0042901513
OpenAI Moderation v1 (007)
Sexual
0.0022023192
OpenAI Moderation v1 (007)
Hate
0.0021888392
OpenAI Moderation v1 (007)
Violence > Graphic
0.0004713997
OpenAI Moderation v1 (007)
Sexual > Minors
0.0004005289
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0003458798
OpenAI Moderation v1 (007)
Self-Harm
8.3747E-6
OpenAI Moderation v1 (007)
Hate > Threatening
5.7552E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.3378E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.8623E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Human Interest > People > Accomplishment
Score:
100
Magnitude:
0.152
Code:
8003003
Url:
https://cv.iptc.org/newscodes/subjectcode/08003003
Wikidata_id:
Q21013267
Wikidata_label:
achievement
Source:
IPTC Subject
Topic:
Government Operations
Score:
29.122
Magnitude:
91
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
6.2
Flesch-Kincaid Ease
70.4
Gunning-Fog Score
9.4
Coleman-Liau Index
11.4
SMOG Index
10.3
Automated Readability Index
6
Dale-Chall Readability Score
2.8
Sprache Readability Score
3.4
Dale-Chall Difficult Word Score
13
Sprache Difficult Word Count
17
Donald Trump
00:00:34-00:00:48 (14 sec)No Signal (0.437)
We confirmed an incredible new Supreme Court justice and more circuit court judges in our first year than any administration in the history of our country, and we have many more coming.
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
0.791
Very Positive
Moderation
Violence
0.058314926
OpenAI Moderation v1 (007)
Violence > Graphic
0.0472401647
OpenAI Moderation v1 (007)
Harassment
0.014571425
OpenAI Moderation v1 (007)
Hate
0.0142475052
OpenAI Moderation v1 (007)
Sexual
0.0030609346
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0026700189
OpenAI Moderation v1 (007)
Hate > Threatening
0.0004158364
OpenAI Moderation v1 (007)
Sexual > Minors
0.000265849
OpenAI Moderation v1 (007)
Self-Harm
1.03595E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.7293E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
8.189E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Crime, Law and Justice > Judiciary (System of Justice)
Score:
100
Magnitude:
0.96
Code:
2002000
Url:
https://cv.iptc.org/newscodes/subjectcode/02002000
Wikidata_id:
Q105985
Wikidata_label:
judiciary
Source:
IPTC Subject
Topic:
Crime, Law and Justice > International Law
Score:
55
Magnitude:
0.529
Code:
2011000
Url:
https://cv.iptc.org/newscodes/subjectcode/02011000
Wikidata_id:
Q4394526
Wikidata_label:
international law
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
42.2
Gunning-Fog Score
16.6
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
4.5
Sprache Readability Score
5
Dale-Chall Difficult Word Score
6
Sprache Difficult Word Count
10
Donald Trump
00:00:48-00:01:21 (32 sec)No Signal (0.92)
We've set a new record on reducing regulation and all forms of stopping growth and stopping jobs that were crippling America's economy. Again, the records that we've set -- 22 to 1 -- nobody has ever come close. And the amount of regulations that we've cut is a record also in our country's history, as reported by many newspapers, in particular The Wall Street Journal did a big story on it.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.94591
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
-0.178
Leans Negative
Moderation
Harassment
0.4124007653
OpenAI Moderation v1 (007)
Hate
0.0995326671
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0109775814
OpenAI Moderation v1 (007)
Sexual
0.0090468944
OpenAI Moderation v1 (007)
Violence
0.0066558801
OpenAI Moderation v1 (007)
Violence > Graphic
0.0064818472
OpenAI Moderation v1 (007)
Hate > Threatening
0.0001722123
OpenAI Moderation v1 (007)
Self-Harm
9.71058E-5
OpenAI Moderation v1 (007)
Sexual > Minors
4.31009E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
4.3366E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.0899E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Human Interest > Award and Prize > Record
Score:
100
Magnitude:
0.327
Code:
8006001
Url:
https://cv.iptc.org/newscodes/subjectcode/08006001
Wikidata_id:
Q1241356
Wikidata_label:
record
Source:
IPTC Subject
Topic:
Economy, Business and Finance > Media > Newspaper and Magazine
Score:
68
Magnitude:
0.222
Code:
4010005
Url:
https://cv.iptc.org/newscodes/subjectcode/04010005
Wikidata_id:
Q3579160
Wikidata_label:
newspaper publisher
Source:
IPTC Subject
Topic:
Sport > Tennis
Score:
63
Magnitude:
0.208
Code:
15065000
Url:
https://cv.iptc.org/newscodes/subjectcode/15065000
Wikidata_id:
Q847
Wikidata_label:
tennis
Source:
IPTC Subject
Topic:
Economy, Business and Finance > Economy (General)
Score:
58
Magnitude:
0.189
Code:
4017000
Url:
https://cv.iptc.org/newscodes/subjectcode/04017000
Wikidata_id:
Q159810
Wikidata_label:
economy
Source:
IPTC Subject
Topic:
Macroeconomics
Score:
49.62
Magnitude:
69
Code:
1
Url:
https://fsc.al/cap-mc#1
Source:
Comparative Agendas
Topic:
Domestic Commerce
Score:
31.16
Magnitude:
69
Code:
15
Url:
https://fsc.al/cap-mc#15
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
11.5
Flesch-Kincaid Ease
53.5
Gunning-Fog Score
14.4
Coleman-Liau Index
10.1
SMOG Index
12
Automated Readability Index
10.8
Dale-Chall Readability Score
3.7
Sprache Readability Score
5
Dale-Chall Difficult Word Score
11
Sprache Difficult Word Count
20
Donald Trump
00:01:21-00:01:49 (29 sec)No Signal (0.952)
And before Christmas, we passed the largest tax cut and reform in American history, including ANWR and including the fact that the individual mandate was terminated, which was a tremendously important thing and a very popular thing, I must tell you. People are supposed to pay for the privilege of not having healthcare; that was not good. Unfortunately, the courts didn't cut it, but we cut it.
Sentiment
Loughran McDonald (Relative)
-0.42857
Negative
Loughran McDonald (Absolute)
-0.42857
Negative
Loughran McDonald (Logit)
-0.78846
Harvard-IV (Relative)
0.09091
Neutral
Harvard-IV (Absolute)
0.09091
Neutral
Harvard-IV (Logit)
0.16705
VADER
0
Neutral
Moderation
Violence
0.1335055451
OpenAI Moderation v1 (007)
Harassment
0.0259786379
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0078262012
OpenAI Moderation v1 (007)
Violence > Graphic
0.0044419205
OpenAI Moderation v1 (007)
Hate
0.0010965948
OpenAI Moderation v1 (007)
Sexual
0.0002346452
OpenAI Moderation v1 (007)
Self-Harm
0.000102128
OpenAI Moderation v1 (007)
Hate > Threatening
2.50096E-5
OpenAI Moderation v1 (007)
Sexual > Minors
1.37238E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.3411E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.239E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Crime, Law and Justice > International Law
Score:
100
Magnitude:
0.065
Code:
2011000
Url:
https://cv.iptc.org/newscodes/subjectcode/02011000
Wikidata_id:
Q4394526
Wikidata_label:
international law
Source:
IPTC Subject
Topic:
Labor > Collective Contract > Contract Issue-Healthcare
Score:
93
Magnitude:
0.061
Code:
9002002
Url:
https://cv.iptc.org/newscodes/subjectcode/09002002
Wikidata_id:
Q629029
Wikidata_label:
occupational health and safety
Source:
IPTC Subject
Topic:
Religion and Belief > Religious Festival or Vacation > Christmas
Score:
80
Magnitude:
0.052
Code:
12014001
Url:
https://cv.iptc.org/newscodes/subjectcode/12014001
Wikidata_id:
Q19809
Wikidata_label:
Christmas
Source:
IPTC Subject
Topic:
Sport > Basketball
Score:
79
Magnitude:
0.051
Code:
15008000
Url:
https://cv.iptc.org/newscodes/subjectcode/15008000
Wikidata_id:
Q5372
Wikidata_label:
basketball
Source:
IPTC Subject
Topic:
Social Welfare
Score:
56.206
Magnitude:
67
Code:
13
Url:
https://fsc.al/cap-mc#13
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
47.8
Gunning-Fog Score
15.5
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
17
Sprache Difficult Word Count
20
Donald Trump
00:01:49-00:02:18 (28 sec)No Signal (0.555)
So, in addition to the largest tax cut and reform in history, we have one of the great oil sites that's now been approved. They've been trying to approve ANWR -- I don't know if people know this -- for over 40 years. Ronald Reagan tried to get it approved for exploration and for drilling. And for 40 years, they've been trying to get it approved. That was in the bill -- an individual mandate in the bill.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.06667
Neutral
Harvard-IV (Absolute)
0.06667
Neutral
Harvard-IV (Logit)
0.12516
VADER
0.906
Very Positive
Moderation
Violence
0.0155119284
OpenAI Moderation v1 (007)
Harassment
0.0109620167
OpenAI Moderation v1 (007)
Sexual
0.0068842004
OpenAI Moderation v1 (007)
Violence > Graphic
0.0068425674
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0012607271
OpenAI Moderation v1 (007)
Hate
0.0005482876
OpenAI Moderation v1 (007)
Sexual > Minors
0.0004858739
OpenAI Moderation v1 (007)
Self-Harm
4.5218E-6
OpenAI Moderation v1 (007)
Hate > Threatening
1.822E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.0916E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
5.578E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance > Energy and Resource
Score:
100
Magnitude:
0.114
Code:
4005000
Url:
https://cv.iptc.org/newscodes/subjectcode/04005000
Wikidata_id:
Q2151621
Wikidata_label:
energy industry
Source:
IPTC Subject
Topic:
Energy
Score:
94.269
Magnitude:
76
Code:
8
Url:
https://fsc.al/cap-mc#8
Source:
Comparative Agendas
Topic:
Economy, Business and Finance > Energy and Resource > Oil and Gas (Upstream Activities)
Score:
85
Magnitude:
0.096
Code:
4005004
Url:
https://cv.iptc.org/newscodes/subjectcode/04005004
Wikidata_id:
Q2542096
Wikidata_label:
upstream
Source:
IPTC Subject
Topic:
Economy, Business and Finance > Energy and Resource > Oil and Gas (Downstream Activities)
Score:
64
Magnitude:
0.072
Code:
4005003
Url:
https://cv.iptc.org/newscodes/subjectcode/04005003
Wikidata_id:
Q3444730
Wikidata_label:
downstream
Source:
IPTC Subject
Topic:
Arts, Culture and Entertainment > Painting
Score:
54
Magnitude:
0.061
Code:
1012000
Url:
https://cv.iptc.org/newscodes/subjectcode/01012000
Wikidata_id:
Q11629
Wikidata_label:
art of painting
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
5.4
Flesch-Kincaid Ease
83.3
Gunning-Fog Score
8.1
Coleman-Liau Index
8.3
SMOG Index
8.4
Automated Readability Index
5.3
Dale-Chall Readability Score
4.3
Sprache Readability Score
4.1
Dale-Chall Difficult Word Score
17
Sprache Difficult Word Count
20
Donald Trump
00:02:18-00:02:34 (16 sec)No Signal (0.522)
Since that tax cut was enacted, more than 1 million workers have already received a tax cut bonus -- something that, frankly, nobody even thought about. We didn't think about it. Nobody thought about it. We just knew a lot of good things were going to happen.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.60944
Harvard-IV (Relative)
-0.14286
Leans Negative
Harvard-IV (Absolute)
-0.14286
Leans Negative
Harvard-IV (Logit)
-0.25131
VADER
0.494
Positive
Moderation
Harassment
0.0162995595
OpenAI Moderation v1 (007)
Violence
0.0086056192
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0019704037
OpenAI Moderation v1 (007)
Hate
0.0009493817
OpenAI Moderation v1 (007)
Sexual
0.000332835
OpenAI Moderation v1 (007)
Violence > Graphic
0.0002516968
OpenAI Moderation v1 (007)
Sexual > Minors
6.51064E-5
OpenAI Moderation v1 (007)
Hate > Threatening
2.49538E-5
OpenAI Moderation v1 (007)
Self-Harm
2.0629E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.474E-7
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.163E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Labor > Employment
Score:
100
Magnitude:
0.086
Code:
9003000
Url:
https://cv.iptc.org/newscodes/subjectcode/09003000
Wikidata_id:
Q656365
Wikidata_label:
employment
Source:
IPTC Subject
Topic:
Macroeconomics
Score:
94.015
Magnitude:
46
Code:
1
Url:
https://fsc.al/cap-mc#1
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
6.1
Flesch-Kincaid Ease
71.9
Gunning-Fog Score
9.8
Coleman-Liau Index
10
SMOG Index
10.3
Automated Readability Index
5
Dale-Chall Readability Score
1.9
Sprache Readability Score
2.8
Dale-Chall Difficult Word Score
4
Sprache Difficult Word Count
9
Donald Trump
00:02:34-00:03:00 (26 sec)No Signal (0.398)
And I must say, AT&T was the first one and they did it -- $1,000 per employee; they have hundreds of thousands of employees. And many companies followed immediately thereafter, and now they're following -- I guess, the employees are saying, "What about us?"" And millions of employees in this country are getting a thousand dollars and more
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 > Threatening
0.0019054669
OpenAI Moderation v1 (007)
Violence
0.0016179216
OpenAI Moderation v1 (007)
Violence > Graphic
0.0010121068
OpenAI Moderation v1 (007)
Harassment
0.0007090635
OpenAI Moderation v1 (007)
Hate
0.0003813587
OpenAI Moderation v1 (007)
Sexual
0.0001059104
OpenAI Moderation v1 (007)
Self-Harm
6.14905E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.33436E-5
OpenAI Moderation v1 (007)
Hate > Threatening
7.0045E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
9.339E-7
OpenAI Moderation v1 (007)
Sexual > Minors
6.821E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Labor > Employment
Score:
100
Magnitude:
0.393
Code:
9003000
Url:
https://cv.iptc.org/newscodes/subjectcode/09003000
Wikidata_id:
Q656365
Wikidata_label:
employment
Source:
IPTC Subject
Topic:
Domestic Commerce
Score:
79.551
Magnitude:
58
Code:
15
Url:
https://fsc.al/cap-mc#15
Source:
Comparative Agendas
Topic:
Labor > Employee
Score:
62
Magnitude:
0.242
Code:
9016000
Url:
https://cv.iptc.org/newscodes/subjectcode/09016000
Wikidata_id:
Q703534
Wikidata_label:
employee
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
9.6
Flesch-Kincaid Ease
59.9
Gunning-Fog Score
14.6
Coleman-Liau Index
11.2
SMOG Index
12
Automated Readability Index
9.6
Dale-Chall Readability Score
4.3
Sprache Readability Score
4
Dale-Chall Difficult Word Score
12
Sprache Difficult Word Count
13
Donald Trump
00:03:00-00:03:22 (22 sec)No Signal (0.486)
Hardworking American families will receive tremendous tax relief. We lowered our tax rates, nearly doubled the standard deduction, and doubled the child tax credit, which Ivanka Trump was pushing very, very hard, I will tell you that, and so was Marco Rubio.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.09861
Harvard-IV (Relative)
-0.2
Slightly Negative
Harvard-IV (Absolute)
-0.2
Slightly Negative
Harvard-IV (Logit)
-0.36772
VADER
0.548
Very Positive
Moderation
Harassment
0.1414121012
OpenAI Moderation v1 (007)
Violence
0.0313842262
OpenAI Moderation v1 (007)
Sexual > Minors
0.0052664825
OpenAI Moderation v1 (007)
Hate
0.0013802868
OpenAI Moderation v1 (007)
Sexual
0.0012886241
OpenAI Moderation v1 (007)
Violence > Graphic
0.0009409234
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0003043706
OpenAI Moderation v1 (007)
Hate > Threatening
4.4825E-6
OpenAI Moderation v1 (007)
Self-Harm
3.1076E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
8.345E-7
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.4E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Macroeconomics
Score:
93.322
Magnitude:
42
Code:
1
Url:
https://fsc.al/cap-mc#1
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
46.5
Gunning-Fog Score
11.3
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
6.7
Sprache Readability Score
4.7
Dale-Chall Difficult Word Score
15
Sprache Difficult Word Count
18
Donald Trump
00:03:22-00:03:44 (22 sec)No Signal (0.705)
And I will tell you that the Republican Senate -- we had no Democrat support. Zero. They didn't want tax cuts. They want tax increases. They want to raise your taxes; they don't want to cut your taxes. But the child tax credit has become very important to the American family, and they're very happy about it.
Sentiment
Loughran McDonald (Relative)
-0.33333
Somewhat Negative
Loughran McDonald (Absolute)
-0.33333
Somewhat Negative
Loughran McDonald (Logit)
-0.51083
Harvard-IV (Relative)
-0.33333
Somewhat Negative
Harvard-IV (Absolute)
-0.33333
Somewhat Negative
Harvard-IV (Logit)
-0.63599
VADER
0.881
Very Positive
Moderation
Harassment
0.3095834283
OpenAI Moderation v1 (007)
Violence > Graphic
0.0068071364
OpenAI Moderation v1 (007)
Violence
0.00521734
OpenAI Moderation v1 (007)
Hate
0.0045053748
OpenAI Moderation v1 (007)
Sexual > Minors
0.0023207942
OpenAI Moderation v1 (007)
Sexual
0.0013715556
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0002811725
OpenAI Moderation v1 (007)
Self-Harm
5.14059E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.6293E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
7.9259E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
6.0203E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Parliament
Score:
100
Magnitude:
0.118
Code:
11009000
Url:
https://cv.iptc.org/newscodes/subjectcode/11009000
Wikidata_id:
Q35749
Wikidata_label:
parliament
Source:
IPTC Subject
Topic:
Macroeconomics
Score:
83.812
Magnitude:
57
Code:
1
Url:
https://fsc.al/cap-mc#1
Source:
Comparative Agendas
Topic:
Social Issue > Family
Score:
73
Magnitude:
0.087
Code:
14006000
Url:
https://cv.iptc.org/newscodes/subjectcode/14006000
Wikidata_id:
Q8436
Wikidata_label:
family
Source:
IPTC Subject
Topic:
Politics > Election
Score:
65
Magnitude:
0.077
Code:
11003000
Url:
https://cv.iptc.org/newscodes/subjectcode/11003000
Wikidata_id:
Q40231
Wikidata_label:
public election
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
5.3
Flesch-Kincaid Ease
73.5
Gunning-Fog Score
5.9
Coleman-Liau Index
9.4
SMOG Index
9
Automated Readability Index
3.4
Dale-Chall Readability Score
3.3
Sprache Readability Score
2.7
Dale-Chall Difficult Word Score
10
Sprache Difficult Word Count
11
Donald Trump
00:03:44-00:04:14 (30 sec)No Signal (0.939)
Our historic reductions to the business tax will raise annual household income by an average of $4,000. That's a tremendous number. The amount of money that's going to be brought in -- we think it's going to be close to $4 trillion because of our tax reform -- will be a number that this country has never seen pour into our country. And that's going to create more jobs and more investment.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
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
0.452
Positive
Moderation
Harassment
0.0129551001
OpenAI Moderation v1 (007)
Violence
0.0086623295
OpenAI Moderation v1 (007)
Violence > Graphic
0.0040052113
OpenAI Moderation v1 (007)
Hate
0.0023736073
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0018843692
OpenAI Moderation v1 (007)
Sexual
0.0010213004
OpenAI Moderation v1 (007)
Sexual > Minors
2.12571E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.66662E-5
OpenAI Moderation v1 (007)
Self-Harm
3.382E-7
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.87E-8
OpenAI Moderation v1 (007)
Self-Harm > Instructions
7.7E-9
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance
Score:
100
Magnitude:
0.107
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:
79
Magnitude:
0.084
Code:
4017000
Url:
https://cv.iptc.org/newscodes/subjectcode/04017000
Wikidata_id:
Q159810
Wikidata_label:
economy
Source:
IPTC Subject
Topic:
Economy, Business and Finance > Macro Economics > Business Enterprises
Score:
62
Magnitude:
0.067
Code:
4008034
Url:
https://cv.iptc.org/newscodes/subjectcode/04008034
Wikidata_id:
Q4830453
Wikidata_label:
business
Source:
IPTC Subject
Topic:
Domestic Commerce
Score:
57.057
Magnitude:
70
Code:
15
Url:
https://fsc.al/cap-mc#15
Source:
Comparative Agendas
Topic:
Economy, Business and Finance > Business (General)
Score:
56
Magnitude:
0.059
Code:
4018000
Url:
https://cv.iptc.org/newscodes/subjectcode/04018000
Wikidata_id:
Q159810
Wikidata_label:
economy
Source:
IPTC Subject
Topic:
Macroeconomics
Score:
34.644
Magnitude:
70
Code:
1
Url:
https://fsc.al/cap-mc#1
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
7.5
Flesch-Kincaid Ease
73.2
Gunning-Fog Score
11.6
Coleman-Liau Index
9.1
SMOG Index
11.3
Automated Readability Index
7.3
Dale-Chall Readability Score
3.3
Sprache Readability Score
4
Dale-Chall Difficult Word Score
11
Sprache Difficult Word Count
15
Donald Trump
00:04:14-00:04:44 (30 sec)No Signal (0.859)
The stock market is shattering one record after another. Unemployment is at a 17-year low. And I'm very proud of this: African American unemployment reached its lowest level in history. Think of that. And on the campaign trail, remember I said, and would constantly say, "What do you have to lose?"" Meaning
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.94591
Harvard-IV (Relative)
-0.5
Very Negative
Harvard-IV (Absolute)
-0.5
Very Negative
Harvard-IV (Logit)
-0.8473
VADER
-0.814
Very Negative
Moderation
Harassment
2.0603802055
OpenAI Moderation v1 (007)
Hate
0.0710677821
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0031623484
OpenAI Moderation v1 (007)
Violence
0.001375787
OpenAI Moderation v1 (007)
Self-Harm
0.0007559161
OpenAI Moderation v1 (007)
Sexual
0.000228376
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001688106
OpenAI Moderation v1 (007)
Violence > Graphic
0.0001056129
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.55823E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.86653E-5
OpenAI Moderation v1 (007)
Sexual > Minors
7.8524E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance > Market and Exchange > Securities
Score:
100
Magnitude:
0.729
Code:
4009003
Url:
https://cv.iptc.org/newscodes/subjectcode/04009003
Wikidata_id:
Q169489
Wikidata_label:
security
Source:
IPTC Subject
Topic:
Labor
Score:
92.048
Magnitude:
52
Code:
5
Url:
https://fsc.al/cap-mc#5
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
6.1
Flesch-Kincaid Ease
67
Gunning-Fog Score
8.8
Coleman-Liau Index
10.8
SMOG Index
10.3
Automated Readability Index
4.3
Dale-Chall Readability Score
4
Sprache Readability Score
3
Dale-Chall Difficult Word Score
12
Sprache Difficult Word Count
16
Donald Trump
00:04:44-00:05:37 (53 sec)No StressLens
We're also making America safe again. Yesterday, we had a bipartisan meeting with House members and senators on immigration reform -- something they've been talking about for many, many years. But we brought them together in this room, and it was a tremendous meeting. Actually, it was reported as incredibly good. And my performance -- you know, some of them called it a performance -- I consider it work.
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
0.724
Very Positive
Moderation
Harassment
0.0486785255
OpenAI Moderation v1 (007)
Violence
0.0443877158
OpenAI Moderation v1 (007)
Sexual
0.0121570512
OpenAI Moderation v1 (007)
Hate
0.0052649058
OpenAI Moderation v1 (007)
Harassment > Threatening
0.003149152
OpenAI Moderation v1 (007)
Violence > Graphic
0.002980797
OpenAI Moderation v1 (007)
Hate > Threatening
0.0003371363
OpenAI Moderation v1 (007)
Sexual > Minors
0.0002385944
OpenAI Moderation v1 (007)
Self-Harm
5.7264E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.0243E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.096E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Parliament
Score:
100
Magnitude:
0.204
Code:
11009000
Url:
https://cv.iptc.org/newscodes/subjectcode/11009000
Wikidata_id:
Q35749
Wikidata_label:
parliament
Source:
IPTC Subject
Topic:
Immigration
Score:
92.505
Magnitude:
69
Code:
9
Url:
https://fsc.al/cap-mc#9
Source:
Comparative Agendas
Topic:
Social Issue > Demographics > Immigration
Score:
64
Magnitude:
0.129
Code:
14003002
Url:
https://cv.iptc.org/newscodes/subjectcode/14003002
Wikidata_id:
Q131288
Wikidata_label:
immigration
Source:
IPTC Subject
Topic:
Politics > Migration
Score:
62
Magnitude:
0.127
Code:
11017000
Url:
https://cv.iptc.org/newscodes/subjectcode/11017000
Wikidata_id:
Q15064326
Wikidata_label:
immigration policy
Source:
IPTC Subject
Topic:
Social Issue > Social Issues (General)
Score:
50
Magnitude:
0.103
Code:
14025000
Url:
https://cv.iptc.org/newscodes/subjectcode/14025000
Wikidata_id:
Q8425
Wikidata_label:
society
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
9.2
Flesch-Kincaid Ease
52.4
Gunning-Fog Score
13.2
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
8
Dale-Chall Readability Score
4
Sprache Readability Score
3.8
Dale-Chall Difficult Word Score
14
Sprache Difficult Word Count
19
Donald Trump
00:05:37-00:05:55 (18 sec)No Signal (0.569)
But it got great reviews by everybody other than two networks, who were phenomenal for about two hours. Then, after that, they were called by their bosses for saying, "Oh
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.09861
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.09861
VADER
0.625
Very Positive
Moderation
Harassment
0.0526073505
OpenAI Moderation v1 (007)
Hate
0.0265786453
OpenAI Moderation v1 (007)
Sexual
0.0139906901
OpenAI Moderation v1 (007)
Violence > Graphic
0.0032318731
OpenAI Moderation v1 (007)
Violence
0.0024331219
OpenAI Moderation v1 (007)
Sexual > Minors
0.0009626186
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0002573245
OpenAI Moderation v1 (007)
Hate > Threatening
0.000107394
OpenAI Moderation v1 (007)
Self-Harm
9.32643E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
5.70033E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.4627E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Science and Technology > It/computer Sciences
Score:
100
Magnitude:
0.056
Code:
13022000
Url:
https://cv.iptc.org/newscodes/subjectcode/13022000
Wikidata_id:
Q11661
Wikidata_label:
information technology
Source:
IPTC Subject
Topic:
Technology
Score:
84.635
Magnitude:
30
Code:
17
Url:
https://fsc.al/cap-mc#17
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
7.2
Flesch-Kincaid Ease
70.4
Gunning-Fog Score
8.7
Coleman-Liau Index
10.7
SMOG Index
9
Automated Readability Index
7.3
Dale-Chall Readability Score
2.8
Sprache Readability Score
3
Dale-Chall Difficult Word Score
4
Sprache Difficult Word Count
7
Donald Trump
00:05:55-00:06:21 (26 sec)No Signal (0.371)
They probably wish they didn't send us those letters of congratulations. But it was good. I'm sure their ratings were fantastic; they always are -- which is why I think the media will ultimately support Trump in the end, because they're going to say, if Trump doesn't win in three years, they're all out of business. (Laughter.) You guys will be out of business. But the boom holders are still going to be there, so that's good. (Laughter.) Those are the people I like.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.94591
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
2.70805
VADER
0.973
Very Positive
Moderation
Harassment
19.5501372218
OpenAI Moderation v1 (007)
Hate
0.1728890813
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0828019576
OpenAI Moderation v1 (007)
Violence
0.0640920771
OpenAI Moderation v1 (007)
Sexual
0.0093720424
OpenAI Moderation v1 (007)
Violence > Graphic
0.00179811
OpenAI Moderation v1 (007)
Hate > Threatening
0.0010088169
OpenAI Moderation v1 (007)
Self-Harm
0.0002636607
OpenAI Moderation v1 (007)
Sexual > Minors
0.0002373195
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0002252431
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0001024183
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance > Economy (General)
Score:
100
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:
99
Magnitude:
0.082
Code:
4000000
Url:
https://cv.iptc.org/newscodes/subjectcode/04000000
Wikidata_id:
Q159810
Wikidata_label:
economy
Source:
IPTC Subject
Topic:
Technology
Score:
86.734
Magnitude:
86
Code:
17
Url:
https://fsc.al/cap-mc#17
Source:
Comparative Agendas
Topic:
Economy, Business and Finance > Media
Score:
72
Magnitude:
0.06
Code:
4010000
Url:
https://cv.iptc.org/newscodes/subjectcode/04010000
Wikidata_id:
Q56611639
Wikidata_label:
media industry
Source:
IPTC Subject
Topic:
Economy, Business and Finance > Macro Economics > Business Enterprises
Score:
64
Magnitude:
0.053
Code:
4008034
Url:
https://cv.iptc.org/newscodes/subjectcode/04008034
Wikidata_id:
Q4830453
Wikidata_label:
business
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
2.9
Flesch-Kincaid Ease
89.7
Gunning-Fog Score
5.8
Coleman-Liau Index
9.2
SMOG Index
7.3
Automated Readability Index
2.8
Dale-Chall Readability Score
3.6
Sprache Readability Score
3.1
Dale-Chall Difficult Word Score
17
Sprache Difficult Word Count
17
Donald Trump
00:06:21-00:06:44 (23 sec)No Signal (0.543)
We agreed to pursue four major areas yesterday of reform: securing our border, including, of course, the wall -- which has always been included, it never changed; ending chain migration; canceling the visa lottery; and addressing the status of the DACA population. We want to see something happen with DACA.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
0.33333
Somewhat Positive
Harvard-IV (Absolute)
0.33333
Somewhat Positive
Harvard-IV (Logit)
0.51083
VADER
0.572
Very Positive
Moderation
Harassment
0.0858823245
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0507757359
OpenAI Moderation v1 (007)
Violence
0.0487063458
OpenAI Moderation v1 (007)
Violence > Graphic
0.0109984212
OpenAI Moderation v1 (007)
Hate
0.0028056713
OpenAI Moderation v1 (007)
Sexual
0.0008979745
OpenAI Moderation v1 (007)
Sexual > Minors
0.0007641733
OpenAI Moderation v1 (007)
Hate > Threatening
0.0002957523
OpenAI Moderation v1 (007)
Self-Harm > Intent
7.99972E-5
OpenAI Moderation v1 (007)
Self-Harm
2.0201E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.4338E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Migration
Score:
100
Magnitude:
0.06
Code:
11017000
Url:
https://cv.iptc.org/newscodes/subjectcode/11017000
Wikidata_id:
Q15064326
Wikidata_label:
immigration policy
Source:
IPTC Subject
Topic:
Immigration
Score:
78.992
Magnitude:
50
Code:
9
Url:
https://fsc.al/cap-mc#9
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
36.9
Gunning-Fog Score
18
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
7
Sprache Readability Score
5
Dale-Chall Difficult Word Score
18
Sprache Difficult Word Count
22
Donald Trump
00:06:44-00:07:11 (28 sec)No Signal (0.921)
It's been spoken of for years. And children are now adults, in many cases. The numbers are very different, very varying. A lot of people say 800,000; some people said -- yesterday, first time I heard 650 [thousand]. I also heard 3 million. The fact is, our country was such a mess, nobody even knows what the numbers are. But we'll know what the numbers are.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.2
Leans Positive
Harvard-IV (Absolute)
0.2
Leans Positive
Harvard-IV (Logit)
0.33647
VADER
-0.361
Somewhat Negative
Moderation
Harassment
0.1057559974
OpenAI Moderation v1 (007)
Violence
0.0133739202
OpenAI Moderation v1 (007)
Sexual > Minors
0.0131024921
OpenAI Moderation v1 (007)
Sexual
0.010426154
OpenAI Moderation v1 (007)
Hate
0.0064787084
OpenAI Moderation v1 (007)
Harassment > Threatening
0.005126317
OpenAI Moderation v1 (007)
Violence > Graphic
0.0019038484
OpenAI Moderation v1 (007)
Self-Harm > Intent
8.19527E-5
OpenAI Moderation v1 (007)
Self-Harm
8.04189E-5
OpenAI Moderation v1 (007)
Hate > Threatening
7.58485E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
7.615E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Social Issue > People > Adults
Score:
100
Magnitude:
0.174
Code:
14024004
Url:
https://cv.iptc.org/newscodes/subjectcode/14024004
Wikidata_id:
Q9584157
Wikidata_label:
adult human
Source:
IPTC Subject
Topic:
Civil Rights
Score:
85.358
Magnitude:
62
Code:
2
Url:
https://fsc.al/cap-mc#2
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
3.5
Flesch-Kincaid Ease
86.8
Gunning-Fog Score
6.2
Coleman-Liau Index
7.3
SMOG Index
7.6
Automated Readability Index
1.7
Dale-Chall Readability Score
1.4
Sprache Readability Score
2.4
Dale-Chall Difficult Word Score
4
Sprache Difficult Word Count
8
Donald Trump
00:07:11-00:07:48 (37 sec)No StressLens
But above all else, any bill we passed must improve jobs, wages, and security for American citizens. The people who elected us, all of us -- the people that elected us, we have to take care of them. We have to have a strong military. We can't play games with our military. Whether we're Democrat or whether we're Republican, we have to have a strong -- that's not a point of negotiation. We can't say, oh, we're going to give you money for your military but you have to give us money for something that, frankly, is much less important than security.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.09861
Harvard-IV (Relative)
0.81818
Very Positive
Harvard-IV (Absolute)
0.81818
Very Positive
Harvard-IV (Logit)
1.94591
VADER
0.884
Very Positive
Moderation
Violence
0.0459703384
OpenAI Moderation v1 (007)
Harassment
0.0364925305
OpenAI Moderation v1 (007)
Violence > Graphic
0.0063827254
OpenAI Moderation v1 (007)
Hate
0.0031211704
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0012494866
OpenAI Moderation v1 (007)
Sexual
0.0006134941
OpenAI Moderation v1 (007)
Sexual > Minors
7.56278E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.91682E-5
OpenAI Moderation v1 (007)
Self-Harm
6.6367E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
5.6625E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
8.181E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Defense
Score:
100
Magnitude:
0.396
Code:
11001000
Url:
https://cv.iptc.org/newscodes/subjectcode/11001000
Wikidata_id:
Q17991228
Wikidata_label:
national defence
Source:
IPTC Subject
Topic:
Defense
Score:
96.05
Magnitude:
102
Code:
16
Url:
https://fsc.al/cap-mc#16
Source:
Comparative Agendas
Topic:
Labor > Wage and Pension
Score:
64
Magnitude:
0.253
Code:
9011000
Url:
https://cv.iptc.org/newscodes/subjectcode/09011000
Wikidata_id:
Q6821213
Wikidata_label:
wage
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
8.4
Flesch-Kincaid Ease
64.7
Gunning-Fog Score
11.1
Coleman-Liau Index
9.1
SMOG Index
12
Automated Readability Index
6.8
Dale-Chall Readability Score
4.1
Sprache Readability Score
4.1
Dale-Chall Difficult Word Score
21
Sprache Difficult Word Count
17
Donald Trump
00:07:48-00:08:05 (17 sec)No Signal (0.657)
And we have to keep our country strong. And our military was badly depleted over the last long period of time, beyond President Obama, I will say -- beyond President Obama. Our military was very, very badly depleted.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.60944
Harvard-IV (Relative)
-1
Very Negative
Harvard-IV (Absolute)
-1
Very Negative
Harvard-IV (Logit)
-2.19722
VADER
-0.533
Very Negative
Moderation
Harassment
0.1115689985
OpenAI Moderation v1 (007)
Violence
0.0555092236
OpenAI Moderation v1 (007)
Violence > Graphic
0.0125027393
OpenAI Moderation v1 (007)
Hate
0.0095499294
OpenAI Moderation v1 (007)
Sexual
0.0005099761
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0004841582
OpenAI Moderation v1 (007)
Hate > Threatening
0.0001083831
OpenAI Moderation v1 (007)
Sexual > Minors
6.53231E-5
OpenAI Moderation v1 (007)
Self-Harm
1.0285E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
3.727E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.75E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Politics (General)
Score:
100
Magnitude:
0.282
Code:
11024000
Url:
https://cv.iptc.org/newscodes/subjectcode/11024000
Wikidata_id:
Q11827330
Wikidata_label:
political process
Source:
IPTC Subject
Topic:
Defense
Score:
95.874
Magnitude:
38
Code:
16
Url:
https://fsc.al/cap-mc#16
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
9.3
Flesch-Kincaid Ease
50.3
Gunning-Fog Score
10.3
Coleman-Liau Index
11.4
SMOG Index
12
Automated Readability Index
6.5
Dale-Chall Readability Score
5.3
Sprache Readability Score
2.7
Dale-Chall Difficult Word Score
11
Sprache Difficult Word Count
7
Donald Trump
00:08:05-00:08:28 (22 sec)No Signal (0.379)
I just spoke to President Moon. He's very thankful for what we've done. They're having talks with North Korea. We'll see how that happens. He felt that the original -- that the initial talk was extremely good. Had a lot of good comment. Rex was on the phone, and Nikki has been totally briefed.
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
0.907
Very Positive
Moderation
Sexual
0.0042492633
OpenAI Moderation v1 (007)
Violence
0.0015277499
OpenAI Moderation v1 (007)
Harassment
0.0011038365
OpenAI Moderation v1 (007)
Hate
0.0009158215
OpenAI Moderation v1 (007)
Violence > Graphic
0.0006861322
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0003901973
OpenAI Moderation v1 (007)
Sexual > Minors
0.000208943
OpenAI Moderation v1 (007)
Hate > Threatening
5.70944E-5
OpenAI Moderation v1 (007)
Self-Harm
6.8842E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.49E-7
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.994E-7
OpenAI Moderation v1 (007)
Topics
Topic:
International Affairs
Score:
92.864
Magnitude:
54
Code:
19
Url:
https://fsc.al/cap-mc#19
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
2.9
Flesch-Kincaid Ease
87.4
Gunning-Fog Score
6
Coleman-Liau Index
9.4
SMOG Index
7.6
Automated Readability Index
2.5
Dale-Chall Readability Score
3.4
Sprache Readability Score
3
Dale-Chall Difficult Word Score
10
Sprache Difficult Word Count
17
Donald Trump
00:08:28-00:08:52 (25 sec)Weak (1.141)
But we had a very, very good conversation, and we'll see where it goes. He's very thankful for what we've done. It was so reported today that we were the ones -- without our attitude, that would have never happened. Who knows where it leads. Hopefully, it will lead to success for the world -- not just for our country, but for the world. And we'll be seeing over the next number of weeks and months what happens.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.94591
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
2.70805
VADER
0.81
Very Positive
Moderation
Violence
0.005072698
OpenAI Moderation v1 (007)
Harassment
0.0031523279
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0030241234
OpenAI Moderation v1 (007)
Sexual
0.0029904921
OpenAI Moderation v1 (007)
Hate
0.0002887759
OpenAI Moderation v1 (007)
Sexual > Minors
8.05449E-5
OpenAI Moderation v1 (007)
Violence > Graphic
4.84151E-5
OpenAI Moderation v1 (007)
Hate > Threatening
3.5101E-5
OpenAI Moderation v1 (007)
Self-Harm
2.09132E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.92415E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.0852E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Human Interest > People > Accomplishment
Score:
100
Magnitude:
0.107
Code:
8003003
Url:
https://cv.iptc.org/newscodes/subjectcode/08003003
Wikidata_id:
Q21013267
Wikidata_label:
achievement
Source:
IPTC Subject
Topic:
International Affairs
Score:
94.169
Magnitude:
78
Code:
19
Url:
https://fsc.al/cap-mc#19
Source:
Comparative Agendas
Topic:
Social Issue > People
Score:
86
Magnitude:
0.092
Code:
14024000
Url:
https://cv.iptc.org/newscodes/subjectcode/14024000
Wikidata_id:
Q1156970
Wikidata_label:
humanity
Source:
IPTC Subject
Topic:
Politics
Score:
81
Magnitude:
0.087
Code:
11000000
Url:
https://cv.iptc.org/newscodes/subjectcode/11000000
Wikidata_id:
Q7163
Wikidata_label:
politics
Source:
IPTC Subject
Topic:
Arts, Culture and Entertainment > Culture (General)
Score:
80
Magnitude:
0.086
Code:
1022000
Url:
https://cv.iptc.org/newscodes/subjectcode/01022000
Wikidata_id:
Q11042
Wikidata_label:
culture
Source:
IPTC Subject
Topic:
Social Issue
Score:
77
Magnitude:
0.083
Code:
14000000
Url:
https://cv.iptc.org/newscodes/subjectcode/14000000
Wikidata_id:
Q8425
Wikidata_label:
society
Source:
IPTC Subject
Topic:
Human Interest
Score:
74
Magnitude:
0.079
Code:
8000000
Url:
https://cv.iptc.org/newscodes/subjectcode/08000000
Wikidata_id:
Q361306
Wikidata_label:
human interest story
Source:
IPTC Subject
Topic:
Science and Technology > Science (General)
Score:
51
Magnitude:
0.054
Code:
13009000
Url:
https://cv.iptc.org/newscodes/subjectcode/13009000
Wikidata_id:
Q34104
Wikidata_label:
science and technology
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
4.9
Flesch-Kincaid Ease
82.7
Gunning-Fog Score
7.7
Coleman-Liau Index
8.7
SMOG Index
8.5
Automated Readability Index
4.5
Dale-Chall Readability Score
1.9
Sprache Readability Score
3
Dale-Chall Difficult Word Score
6
Sprache Difficult Word Count
10
Donald Trump
00:08:52-00:09:26 (34 sec)No Signal (0.134)
On a separate front, we are going to take a strong look at our country's libel laws so that when somebody says something that is false and defamatory about someone, that person will have meaningful recourse in our courts. If somebody says something that's totally false and knowingly false, that the person that has been abused, defamed, libeled will have meaningful recourse.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-2.70805
Harvard-IV (Relative)
-0.5
Very Negative
Harvard-IV (Absolute)
-0.5
Very Negative
Harvard-IV (Logit)
-0.95551
VADER
0.557
Very Positive
Moderation
Harassment > Threatening
0.1221305807
OpenAI Moderation v1 (007)
Violence
0.1047118218
OpenAI Moderation v1 (007)
Harassment
0.0251271093
OpenAI Moderation v1 (007)
Violence > Graphic
0.008324394
OpenAI Moderation v1 (007)
Hate
0.0016920463
OpenAI Moderation v1 (007)
Sexual
0.0002961028
OpenAI Moderation v1 (007)
Self-Harm
0.0001775628
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001310224
OpenAI Moderation v1 (007)
Sexual > Minors
7.83416E-5
OpenAI Moderation v1 (007)
Hate > Threatening
5.767E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
6.104E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Crime, Law and Justice > Judiciary (System of Justice)
Score:
100
Magnitude:
0.078
Code:
2002000
Url:
https://cv.iptc.org/newscodes/subjectcode/02002000
Wikidata_id:
Q105985
Wikidata_label:
judiciary
Source:
IPTC Subject
Topic:
Law and Crime
Score:
81.787
Magnitude:
62
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
36.2
Gunning-Fog Score
19
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
4.6
Sprache Readability Score
5
Dale-Chall Difficult Word Score
12
Sprache Difficult Word Count
17
Donald Trump
00:09:26-00:09:58 (33 sec)No Signal (0.871)
Our current libel laws are a sham and a disgrace, and do not represent American values or American fairness. So we're going to take a strong look at that. We want fairness. You can't say things that are false -- knowingly false -- and be able to smile as money pours into your bank account. We're going to take a very, very strong look at that. And I think what the American people want to see is fairness.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-2.19722
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
0.761
Very Positive
Moderation
Harassment
1.2227549218
OpenAI Moderation v1 (007)
Harassment > Threatening
0.1426885603
OpenAI Moderation v1 (007)
Violence > Graphic
0.1022574259
OpenAI Moderation v1 (007)
Hate
0.0936891767
OpenAI Moderation v1 (007)
Violence
0.0928836118
OpenAI Moderation v1 (007)
Sexual
0.0014903064
OpenAI Moderation v1 (007)
Sexual > Minors
0.0010869773
OpenAI Moderation v1 (007)
Self-Harm
0.0001476277
OpenAI Moderation v1 (007)
Hate > Threatening
0.0001383605
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.21157E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.248E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Crime, Law and Justice > Justice and Rights
Score:
100
Magnitude:
0.061
Code:
2007000
Url:
https://cv.iptc.org/newscodes/subjectcode/02007000
Wikidata_id:
Q5167661
Wikidata_label:
justice
Source:
IPTC Subject
Topic:
Economy, Business and Finance > Financial and Business Service > Banking
Score:
94
Magnitude:
0.058
Code:
4006002
Url:
https://cv.iptc.org/newscodes/subjectcode/04006002
Wikidata_id:
Q806718
Wikidata_label:
banking industry
Source:
IPTC Subject
Topic:
Law and Crime
Score:
55.497
Magnitude:
78
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Topic:
Civil Rights
Score:
34.548
Magnitude:
78
Code:
2
Url:
https://fsc.al/cap-mc#2
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
5.7
Flesch-Kincaid Ease
77.1
Gunning-Fog Score
6.1
Coleman-Liau Index
8.5
SMOG Index
8.5
Automated Readability Index
4.4
Dale-Chall Readability Score
3.1
Sprache Readability Score
3.3
Dale-Chall Difficult Word Score
12
Sprache Difficult Word Count
14
Donald Trump
00:09:58-00:10:13 (15 sec)Weak (1.122)
Finally, as we begin the new year, I want to thank my Cabinet for working tirelessly on behalf of our country. Every single day, every hour, I'm on the phone with almost all of them all the time. And we have a lot of exciting things to go.
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
0.718
Very Positive
Moderation
Sexual
0.0069649774
OpenAI Moderation v1 (007)
Violence
0.0050346403
OpenAI Moderation v1 (007)
Sexual > Minors
0.0035613128
OpenAI Moderation v1 (007)
Violence > Graphic
0.0020370662
OpenAI Moderation v1 (007)
Harassment
0.0017410381
OpenAI Moderation v1 (007)
Hate
0.0005404125
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0003685647
OpenAI Moderation v1 (007)
Hate > Threatening
0.0001269024
OpenAI Moderation v1 (007)
Self-Harm
3.20464E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
3.18117E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.21123E-5
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
6.9
Flesch-Kincaid Ease
74.3
Gunning-Fog Score
9.7
Coleman-Liau Index
6.8
SMOG Index
11.3
Automated Readability Index
4.6
Dale-Chall Readability Score
2.1
Sprache Readability Score
3.3
Dale-Chall Difficult Word Score
4
Sprache Difficult Word Count
9
Donald Trump
00:10:13-00:10:37 (23 sec)No Signal (0.582)
I'm just looking at Alex Acosta. What a job you've done with our healthcare. He's Secretary of Labor, but he's very much involved in healthcare, and I think those rules and regulations will be out around February 1st, Alex, as I understand it. And this is healthcare through association and associations.
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
Neutral
Moderation
Harassment
0.1640058705
OpenAI Moderation v1 (007)
Violence > Graphic
0.0264505274
OpenAI Moderation v1 (007)
Violence
0.0058143476
OpenAI Moderation v1 (007)
Hate
0.0054444801
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0049158385
OpenAI Moderation v1 (007)
Sexual
0.0023541616
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001427334
OpenAI Moderation v1 (007)
Self-Harm
5.82941E-5
OpenAI Moderation v1 (007)
Hate > Threatening
5.69171E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.24829E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.09381E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Labor > Collective Contract > Contract Issue-Healthcare
Score:
100
Magnitude:
0.201
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:
95.902
Magnitude:
51
Code:
3
Url:
https://fsc.al/cap-mc#3
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
8.1
Flesch-Kincaid Ease
59.5
Gunning-Fog Score
8.2
Coleman-Liau Index
12
SMOG Index
10.8
Automated Readability Index
7.2
Dale-Chall Readability Score
5.9
Sprache Readability Score
3.3
Dale-Chall Difficult Word Score
17
Sprache Difficult Word Count
14
Donald Trump
00:10:37-00:10:55 (18 sec)No Signal (0.911)
And I think that millions and millions and millions of people will be signing up. It will be highly competitive. He has been able to totally get rid of state lines so there will be tremendous competition. And that will be a phase of healthcare that people don't talk about.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.09861
Harvard-IV (Relative)
-0.6
Very Negative
Harvard-IV (Absolute)
-0.6
Very Negative
Harvard-IV (Logit)
-1.09861
VADER
0.242
Slightly Positive
Moderation
Violence
0.0336747762
OpenAI Moderation v1 (007)
Violence > Graphic
0.0320600695
OpenAI Moderation v1 (007)
Self-Harm
0.0146039049
OpenAI Moderation v1 (007)
Harassment
0.0067350578
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0058562608
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0002576403
OpenAI Moderation v1 (007)
Hate
0.000250376
OpenAI Moderation v1 (007)
Sexual
0.0001054873
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.42493E-5
OpenAI Moderation v1 (007)
Sexual > Minors
1.23843E-5
OpenAI Moderation v1 (007)
Hate > Threatening
9.9147E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Labor > Collective Contract > Contract Issue-Healthcare
Score:
100
Magnitude:
0.052
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:
91.366
Magnitude:
50
Code:
3
Url:
https://fsc.al/cap-mc#3
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
6.5
Flesch-Kincaid Ease
70.6
Gunning-Fog Score
10.6
Coleman-Liau Index
10
SMOG Index
10.8
Automated Readability Index
5.4
Dale-Chall Readability Score
3.1
Sprache Readability Score
3.1
Dale-Chall Difficult Word Score
8
Sprache Difficult Word Count
11
Donald Trump
00:10:55-00:11:38 (44 sec)No StressLens
But I think, ultimately, you'll have more people than you actually had even in Obamacare, and it's just a segment of what we're doing. So I just want to tell you, I read a lot of those papers last night, and it is really great work, brilliant work. I think it is something that people don't talk about, but it's something that's going to be very exciting and very great. It will be great healthcare at a very competitive price. There will be tremendous competition, and it will cost the United States absolutely zero. So we're very proud of that. Thank you, Alex.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
2.56495
Harvard-IV (Relative)
0.5
Positive
Harvard-IV (Absolute)
0.5
Positive
Harvard-IV (Logit)
0.99853
VADER
0.99
Very Positive
Moderation
Harassment
0.1429929165
OpenAI Moderation v1 (007)
Violence
0.0160261334
OpenAI Moderation v1 (007)
Violence > Graphic
0.0064249602
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0052411266
OpenAI Moderation v1 (007)
Sexual
0.0029990058
OpenAI Moderation v1 (007)
Hate
0.0028494154
OpenAI Moderation v1 (007)
Self-Harm
0.0001271512
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001164567
OpenAI Moderation v1 (007)
Hate > Threatening
3.5738E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
3.34078E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
5.4442E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Labor > Employment
Score:
100
Magnitude:
0.188
Code:
9003000
Url:
https://cv.iptc.org/newscodes/subjectcode/09003000
Wikidata_id:
Q656365
Wikidata_label:
employment
Source:
IPTC Subject
Topic:
Health
Score:
91.011
Magnitude:
103
Code:
3
Url:
https://fsc.al/cap-mc#3
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
7.2
Flesch-Kincaid Ease
69.5
Gunning-Fog Score
10.2
Coleman-Liau Index
9.2
SMOG Index
11
Automated Readability Index
6
Dale-Chall Readability Score
2.9
Sprache Readability Score
4.2
Dale-Chall Difficult Word Score
14
Sprache Difficult Word Count
22
Donald Trump
00:11:38-00:11:55 (16 sec)No Signal (0.557)
And with that, I just -- we'll start our Cabinet meeting. And we appreciate your being here, and you've gotten very familiar with this room. I appreciate your nice comments yesterday. Thank you all very much. Thank you. Thank you very much.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
2.83321
VADER
0.906
Very Positive
Moderation
Violence
0.0190280654
OpenAI Moderation v1 (007)
Sexual
0.0096943782
OpenAI Moderation v1 (007)
Harassment
0.009297386
OpenAI Moderation v1 (007)
Violence > Graphic
0.0037702364
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0016435159
OpenAI Moderation v1 (007)
Sexual > Minors
0.0006306107
OpenAI Moderation v1 (007)
Self-Harm
0.0001229368
OpenAI Moderation v1 (007)
Hate > Threatening
9.19666E-5
OpenAI Moderation v1 (007)
Hate
7.32536E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
6.48374E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.39576E-5
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
4.6
Flesch-Kincaid Ease
74
Gunning-Fog Score
6.6
Coleman-Liau Index
11
SMOG Index
8.5
Automated Readability Index
3.5
Dale-Chall Readability Score
2.6
Sprache Readability Score
2.3
Dale-Chall Difficult Word Score
6
Sprache Difficult Word Count
10