Fact
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se
Donald J. Trump
Remarks: Donald Trump Signs Executive Order on Veterans Affairs - January 9, 2018
StressLens
1 Topic
Entities
Moderation
2 Speakers
Entities
No entities found
Moderation
No moderation found
Speakers
Donald Trump Donald Trump said 50 sentences of a total of 67 sentences.
75%
Donald Trump said 690 words of a total of 972 words.
71%
Donald Trump talked 266 seconds of a total of 361 seconds.
74%
David Shulkin David Shulkin said 17 sentences of a total of 67 sentences.
26%
David Shulkin said 282 words of a total of 972 words.
30%
David Shulkin talked 94 seconds of a total of 361 seconds.
27%
Full Transcript
Donald Trump
00:00:00-00:00:22 (22 sec)Weak (1.019)
Okay, thank you very much. And I want to thank Secretary Shulkin, Secretary Nielsen, and Deputy Secretary Shanahan for joining us as we take yet another historic step to make sure our incredible veterans -- and that they're taking care of -- that they're being taken care of in a proper manner. So important.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.09861
Harvard-IV (Relative)
0.77778
Very Positive
Harvard-IV (Absolute)
0.77778
Very Positive
Harvard-IV (Logit)
1.7346
VADER
0.946
Very Positive
Moderation
Violence
0.0109705383
OpenAI Moderation v1 (007)
Violence > Graphic
0.0098931829
OpenAI Moderation v1 (007)
Sexual
0.0052240164
OpenAI Moderation v1 (007)
Harassment
0.0030022764
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0007218331
OpenAI Moderation v1 (007)
Sexual > Minors
0.0002984383
OpenAI Moderation v1 (007)
Hate
0.0002503039
OpenAI Moderation v1 (007)
Self-Harm
0.0001002542
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.42924E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.9719E-6
OpenAI Moderation v1 (007)
Hate > Threatening
1.9191E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Defense
Score:
94.531
Magnitude:
54
Code:
16
Url:
https://fsc.al/cap-mc#16
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
10.7
Flesch-Kincaid Ease
49.3
Gunning-Fog Score
10.8
Coleman-Liau Index
11.7
SMOG Index
12
Automated Readability Index
9.2
Dale-Chall Readability Score
5.1
Sprache Readability Score
4.1
Dale-Chall Difficult Word Score
14
Sprache Difficult Word Count
16
Donald Trump
00:00:22-00:00:48 (26 sec)No Signal (0.662)
We want them to get the highest care and the care that they so richly deserve, and I've been working very hard on that with David and with everybody. It's something that is a top priority. We're also honored to be joined by Acting National Director of Suicide Prevention, Dr. Franklin, and three veterans who now work supporting their fellow veterans at the VA -- all experts and tremendous people.
Sentiment
Loughran McDonald (Relative)
0.5
Positive
Loughran McDonald (Absolute)
0.5
Positive
Loughran McDonald (Logit)
0.8473
Harvard-IV (Relative)
0.77778
Very Positive
Harvard-IV (Absolute)
0.77778
Very Positive
Harvard-IV (Logit)
1.7346
VADER
0.842
Very Positive
Moderation
Self-Harm
0.0083047147
OpenAI Moderation v1 (007)
Sexual
0.0075231917
OpenAI Moderation v1 (007)
Hate
0.0066132379
OpenAI Moderation v1 (007)
Harassment
0.0062833991
OpenAI Moderation v1 (007)
Violence
0.0032652533
OpenAI Moderation v1 (007)
Violence > Graphic
0.0008151912
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0004474792
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0002509394
OpenAI Moderation v1 (007)
Sexual > Minors
6.05452E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
5.30478E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.02522E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Defense > Veterans Affairs
Score:
100
Magnitude:
0.097
Code:
11001001
Url:
https://cv.iptc.org/newscodes/subjectcode/11001001
Wikidata_id:
Q7923600
Wikidata_label:
veterans' affairs
Source:
IPTC Subject
Topic:
Defense
Score:
81.114
Magnitude:
70
Code:
16
Url:
https://fsc.al/cap-mc#16
Source:
Comparative Agendas
Topic:
Arts, Culture and Entertainment > Culture (General)
Score:
69
Magnitude:
0.067
Code:
1022000
Url:
https://cv.iptc.org/newscodes/subjectcode/01022000
Wikidata_id:
Q11042
Wikidata_label:
culture
Source:
IPTC Subject
Topic:
Social Issue > People
Score:
59
Magnitude:
0.057
Code:
14024000
Url:
https://cv.iptc.org/newscodes/subjectcode/14024000
Wikidata_id:
Q1156970
Wikidata_label:
humanity
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
9.3
Flesch-Kincaid Ease
59.4
Gunning-Fog Score
11
Coleman-Liau Index
11.2
SMOG Index
12
Automated Readability Index
8.8
Dale-Chall Readability Score
5.7
Sprache Readability Score
4.6
Dale-Chall Difficult Word Score
21
Sprache Difficult Word Count
23
Donald Trump
00:00:48-00:01:23 (34 sec)Weak (1.472)
We've already made tremendous strides in delivering for our veterans, including passage of long-awaited veterans accountability legislation -- one of the things I'm most proud of. For many years, they tried to pass veterans accountability and they couldn't do it; they failed. And after almost 40 years, we got it passed. And now when somebody doesn't do the job over at the VA, we fire that person. When somebody is bad to our great veterans, even statistically bad, we fire those people -- get them out and go after them.
Sentiment
Loughran McDonald (Relative)
-0.42857
Negative
Loughran McDonald (Absolute)
-0.42857
Negative
Loughran McDonald (Logit)
-0.78846
Harvard-IV (Relative)
-0.16667
Leans Negative
Harvard-IV (Absolute)
-0.16667
Leans Negative
Harvard-IV (Logit)
-0.31015
VADER
-0.768
Very Negative
Moderation
Violence
0.9385764599
OpenAI Moderation v1 (007)
Harassment
0.5936410278
OpenAI Moderation v1 (007)
Violence > Graphic
0.2550926758
OpenAI Moderation v1 (007)
Harassment > Threatening
0.1619769842
OpenAI Moderation v1 (007)
Hate
0.0978077529
OpenAI Moderation v1 (007)
Sexual
0.0070813279
OpenAI Moderation v1 (007)
Self-Harm
0.0017527529
OpenAI Moderation v1 (007)
Sexual > Minors
0.000723416
OpenAI Moderation v1 (007)
Hate > Threatening
0.0004192309
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0002229187
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.5828E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Defense > Veterans Affairs
Score:
100
Magnitude:
0.165
Code:
11001001
Url:
https://cv.iptc.org/newscodes/subjectcode/11001001
Wikidata_id:
Q7923600
Wikidata_label:
veterans' affairs
Source:
IPTC Subject
Topic:
Defense
Score:
93.479
Magnitude:
89
Code:
16
Url:
https://fsc.al/cap-mc#16
Source:
Comparative Agendas
Topic:
Disaster and Accident > Fire
Score:
53
Magnitude:
0.088
Code:
3004000
Url:
https://cv.iptc.org/newscodes/subjectcode/03004000
Wikidata_id:
Q3196
Wikidata_label:
fire
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
10
Flesch-Kincaid Ease
54.7
Gunning-Fog Score
13.9
Coleman-Liau Index
11.4
SMOG Index
12
Automated Readability Index
9.2
Dale-Chall Readability Score
4.3
Sprache Readability Score
4.5
Dale-Chall Difficult Word Score
19
Sprache Difficult Word Count
20
Donald Trump
00:01:23-00:01:42 (19 sec)Weak (1.083)
And we have a creation of a 24-hour veterans hotline. And these were two of my campaign promises. But getting to me -- getting the veterans accountability legislation passed, done through the House, through the Senate, and I signed it was a big moment for the veterans.
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
0.572
Very Positive
Moderation
Violence > Graphic
0.0185608849
OpenAI Moderation v1 (007)
Violence
0.0057304525
OpenAI Moderation v1 (007)
Sexual
0.0009262722
OpenAI Moderation v1 (007)
Harassment
0.0005868492
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0003280889
OpenAI Moderation v1 (007)
Hate
0.0001834744
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001491551
OpenAI Moderation v1 (007)
Self-Harm
7.66762E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.82499E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.65699E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.839E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Defense > Veterans Affairs
Score:
100
Magnitude:
0.202
Code:
11001001
Url:
https://cv.iptc.org/newscodes/subjectcode/11001001
Wikidata_id:
Q7923600
Wikidata_label:
veterans' affairs
Source:
IPTC Subject
Topic:
Defense
Score:
94.897
Magnitude:
47
Code:
16
Url:
https://fsc.al/cap-mc#16
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
7.8
Flesch-Kincaid Ease
66.7
Gunning-Fog Score
11.4
Coleman-Liau Index
10.7
SMOG Index
11.3
Automated Readability Index
7.6
Dale-Chall Readability Score
4.5
Sprache Readability Score
3.4
Dale-Chall Difficult Word Score
11
Sprache Difficult Word Count
10
Donald Trump
00:01:42-00:02:09 (27 sec)No Signal (0.984)
In a few moments, we'll sign a new executive order that directs the Department of Defense, Homeland Security, and Veterans Affairs to develop, in the next 60 days, a joint action plan for improving the availability of lifesaving mental health services for our veterans. A lot of focus on our veterans, and they're the people we should be focusing on, along with everybody else. But we really put a very great deal of focus on our veterans. Great, great people.
Sentiment
Loughran McDonald (Relative)
0.6
Very Positive
Loughran McDonald (Absolute)
0.6
Very Positive
Loughran McDonald (Logit)
1.09861
Harvard-IV (Relative)
0.66667
Very Positive
Harvard-IV (Absolute)
0.66667
Very Positive
Harvard-IV (Logit)
1.43508
VADER
0.962
Very Positive
Moderation
Harassment
0.0884722627
OpenAI Moderation v1 (007)
Violence
0.0346089422
OpenAI Moderation v1 (007)
Violence > Graphic
0.0137219933
OpenAI Moderation v1 (007)
Hate
0.0110681547
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0105165687
OpenAI Moderation v1 (007)
Sexual
0.0009786589
OpenAI Moderation v1 (007)
Self-Harm
0.0005183188
OpenAI Moderation v1 (007)
Sexual > Minors
0.0004923194
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.000137571
OpenAI Moderation v1 (007)
Hate > Threatening
5.32093E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
6.2713E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Defense > Veterans Affairs
Score:
100
Magnitude:
0.366
Code:
11001001
Url:
https://cv.iptc.org/newscodes/subjectcode/11001001
Wikidata_id:
Q7923600
Wikidata_label:
veterans' affairs
Source:
IPTC Subject
Topic:
Defense
Score:
95.952
Magnitude:
79
Code:
16
Url:
https://fsc.al/cap-mc#16
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
44.8
Gunning-Fog Score
14
Coleman-Liau Index
11.1
SMOG Index
12
Automated Readability Index
10.1
Dale-Chall Readability Score
4.7
Sprache Readability Score
5
Dale-Chall Difficult Word Score
19
Sprache Difficult Word Count
24
Donald Trump
00:02:09-00:02:33 (24 sec)Weak (1.284)
The joint action plan will describe concrete actions we must take to ensure every single veteran who needs mental health and suicide prevention services will receive them immediately upon their separation from military service. They get out of the military, and they had nobody to talk to, nobody to speak to. And it's been a very sad situation, but we're taking care of them.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
-0.25
Slightly Negative
Harvard-IV (Absolute)
-0.25
Slightly Negative
Harvard-IV (Logit)
-0.45199
VADER
0.289
Slightly Positive
Moderation
Violence
0.016632273
OpenAI Moderation v1 (007)
Self-Harm
0.0081478523
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0062628686
OpenAI Moderation v1 (007)
Harassment
0.0048711841
OpenAI Moderation v1 (007)
Violence > Graphic
0.0022268088
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0020865606
OpenAI Moderation v1 (007)
Sexual
0.0007211801
OpenAI Moderation v1 (007)
Hate
0.000373695
OpenAI Moderation v1 (007)
Sexual > Minors
8.07622E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
6.57141E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.06085E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Defense
Score:
100
Magnitude:
0.335
Code:
11001000
Url:
https://cv.iptc.org/newscodes/subjectcode/11001000
Wikidata_id:
Q17991228
Wikidata_label:
national defence
Source:
IPTC Subject
Topic:
Defense
Score:
95.15
Magnitude:
64
Code:
16
Url:
https://fsc.al/cap-mc#16
Source:
Comparative Agendas
Topic:
Social Issue > Long Term Care
Score:
86
Magnitude:
0.287
Code:
14018000
Url:
https://cv.iptc.org/newscodes/subjectcode/14018000
Wikidata_id:
Q6672123
Wikidata_label:
long-term care
Source:
IPTC Subject
Topic:
Health
Score:
68
Magnitude:
0.228
Code:
7000000
Url:
https://cv.iptc.org/newscodes/subjectcode/07000000
Wikidata_id:
Q12147
Wikidata_label:
health
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
45.1
Gunning-Fog Score
16
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
11.7
Dale-Chall Readability Score
4.5
Sprache Readability Score
4.9
Dale-Chall Difficult Word Score
14
Sprache Difficult Word Count
20
Donald Trump
00:02:33-00:02:54 (21 sec)Medium (1.702)
We will not rest until all of America's great veterans receive the care they've earned through their incredible service and sacrifice to our country. And, again, I want to thank David Shulkin. I want to thank everybody behind me and everybody on that side of the room for having done such an incredible job.
Sentiment
Loughran McDonald (Relative)
0.5
Positive
Loughran McDonald (Absolute)
0.5
Positive
Loughran McDonald (Logit)
0.8473
Harvard-IV (Relative)
0.25
Slightly Positive
Harvard-IV (Absolute)
0.25
Slightly Positive
Harvard-IV (Logit)
0.45199
VADER
0.917
Very Positive
Moderation
Violence
0.0789830985
OpenAI Moderation v1 (007)
Harassment
0.0428375002
OpenAI Moderation v1 (007)
Violence > Graphic
0.0034040462
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0030663192
OpenAI Moderation v1 (007)
Hate
0.0026033264
OpenAI Moderation v1 (007)
Sexual
0.0023265933
OpenAI Moderation v1 (007)
Sexual > Minors
0.0002488334
OpenAI Moderation v1 (007)
Hate > Threatening
2.43931E-5
OpenAI Moderation v1 (007)
Self-Harm
7.254E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
8.104E-7
OpenAI Moderation v1 (007)
Self-Harm > Instructions
8.7E-9
OpenAI Moderation v1 (007)
Topics
Topic:
Sport > Tennis
Score:
100
Magnitude:
0.158
Code:
15065000
Url:
https://cv.iptc.org/newscodes/subjectcode/15065000
Wikidata_id:
Q847
Wikidata_label:
tennis
Source:
IPTC Subject
Topic:
Defense
Score:
95.613
Magnitude:
54
Code:
16
Url:
https://fsc.al/cap-mc#16
Source:
Comparative Agendas
Topic:
Politics > Defense > Veterans Affairs
Score:
69
Magnitude:
0.109
Code:
11001001
Url:
https://cv.iptc.org/newscodes/subjectcode/11001001
Wikidata_id:
Q7923600
Wikidata_label:
veterans' affairs
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
9.8
Flesch-Kincaid Ease
57
Gunning-Fog Score
11.6
Coleman-Liau Index
11.1
SMOG Index
12
Automated Readability Index
9.1
Dale-Chall Readability Score
3.2
Sprache Readability Score
3.8
Dale-Chall Difficult Word Score
8
Sprache Difficult Word Count
12
Donald Trump
00:02:54-00:03:09 (15 sec)Weak (1.282)
I'm honored to be at the forefront of the greatest strides ever made at the VA for our veterans, and it's not even close. And it has been so adjudged. So thank you all very much, I appreciate it. Thank you.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.60944
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
2.19722
VADER
0.948
Very Positive
Moderation
Harassment
0.0589101284
OpenAI Moderation v1 (007)
Violence
0.0107219639
OpenAI Moderation v1 (007)
Sexual
0.0046581154
OpenAI Moderation v1 (007)
Violence > Graphic
0.0035536723
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0012386712
OpenAI Moderation v1 (007)
Hate
0.0009890237
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001047817
OpenAI Moderation v1 (007)
Self-Harm
4.28188E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
3.24695E-5
OpenAI Moderation v1 (007)
Hate > Threatening
2.5782E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.551E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Defense
Score:
91.819
Magnitude:
41
Code:
16
Url:
https://fsc.al/cap-mc#16
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
3.7
Flesch-Kincaid Ease
87.1
Gunning-Fog Score
6.1
Coleman-Liau Index
6.9
SMOG Index
7.3
Automated Readability Index
1.8
Dale-Chall Readability Score
4
Sprache Readability Score
2.6
Dale-Chall Difficult Word Score
9
Sprache Difficult Word Count
9
Donald Trump
00:03:09-00:03:27 (18 sec)Medium (1.632)
We just had a very good meeting, I might add, on DACA, and I think the results are going to be terrific. But we had a very good meeting. I will sign this. And, David, who am I giving this pen to? How about David? We give it to David, right? Is that all right?
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
2.70805
VADER
0.915
Very Positive
Moderation
Violence
0.0347572379
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0233860061
OpenAI Moderation v1 (007)
Harassment
0.0168784987
OpenAI Moderation v1 (007)
Violence > Graphic
0.0053967273
OpenAI Moderation v1 (007)
Sexual
0.0005211192
OpenAI Moderation v1 (007)
Sexual > Minors
0.0003268949
OpenAI Moderation v1 (007)
Self-Harm
0.0003091478
OpenAI Moderation v1 (007)
Hate > Threatening
0.0001468364
OpenAI Moderation v1 (007)
Hate
0.0001291025
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.77062E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.6584E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Crime, Law and Justice > Justice and Rights
Score:
100
Magnitude:
0.071
Code:
2007000
Url:
https://cv.iptc.org/newscodes/subjectcode/02007000
Wikidata_id:
Q5167661
Wikidata_label:
justice
Source:
IPTC Subject
Topic:
Sport > Soccer
Score:
74
Magnitude:
0.052
Code:
15054000
Url:
https://cv.iptc.org/newscodes/subjectcode/15054000
Wikidata_id:
Q2736
Wikidata_label:
association football
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
2.1
Flesch-Kincaid Ease
94.3
Gunning-Fog Score
3.9
Coleman-Liau Index
4.7
SMOG Index
5.4
Automated Readability Index
0
Dale-Chall Readability Score
2.1
Sprache Readability Score
2.2
Dale-Chall Difficult Word Score
6
Sprache Difficult Word Count
7
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
Sexual
0.015439959
OpenAI Moderation v1 (007)
Violence
0.0065012726
OpenAI Moderation v1 (007)
Violence > Graphic
0.0016447309
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0014087669
OpenAI Moderation v1 (007)
Harassment
0.0012840363
OpenAI Moderation v1 (007)
Hate
0.0003440327
OpenAI Moderation v1 (007)
Sexual > Minors
0.0002448719
OpenAI Moderation v1 (007)
Self-Harm
3.94172E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
3.82707E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.40319E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.7773E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
0
Flesch-Kincaid Ease
100
Gunning-Fog Score
1.6
Coleman-Liau Index
7.7
SMOG Index
3.3
Automated Readability Index
0
Dale-Chall Readability Score
0.2
Sprache Readability Score
1.1
Dale-Chall Difficult Word Score
0
Sprache Difficult Word Count
0
Donald Trump
00:03:28-00:03:59 (30 sec)No StressLens
So this is supporting our veterans during their transition from uniformed service to civilian life, taking some of their difficulty away. [The executive order is signed, Applause]
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
-0.33333
Somewhat Negative
Harvard-IV (Absolute)
-0.33333
Somewhat Negative
Harvard-IV (Logit)
-0.51083
VADER
-0.34
Somewhat Negative
Moderation
Harassment
0.3640676616
OpenAI Moderation v1 (007)
Violence
0.0200673647
OpenAI Moderation v1 (007)
Violence > Graphic
0.0188858307
OpenAI Moderation v1 (007)
Sexual
0.0019378833
OpenAI Moderation v1 (007)
Hate
0.0015897805
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0012229965
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0009048335
OpenAI Moderation v1 (007)
Self-Harm
0.000507032
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0001023645
OpenAI Moderation v1 (007)
Sexual > Minors
2.86713E-5
OpenAI Moderation v1 (007)
Hate > Threatening
8.0772E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Defense > Veterans Affairs
Score:
100
Magnitude:
0.151
Code:
11001001
Url:
https://cv.iptc.org/newscodes/subjectcode/11001001
Wikidata_id:
Q7923600
Wikidata_label:
veterans' affairs
Source:
IPTC Subject
Topic:
Defense
Score:
95.45
Magnitude:
21
Code:
16
Url:
https://fsc.al/cap-mc#16
Source:
Comparative Agendas
Topic:
Sport > Tennis
Score:
58
Magnitude:
0.088
Code:
15065000
Url:
https://cv.iptc.org/newscodes/subjectcode/15065000
Wikidata_id:
Q847
Wikidata_label:
tennis
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
28.4
Gunning-Fog Score
19
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
5.6
Sprache Readability Score
3.9
Dale-Chall Difficult Word Score
6
Sprache Difficult Word Count
9
Donald Trump
00:03:59-00:04:00 (2 sec)No StressLens
This to me is a very important bill. Thank you. (Applause.) I think this should go to David.
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
0.594
Very Positive
Moderation
Violence
0.0266526942
OpenAI Moderation v1 (007)
Harassment
0.0111957794
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0100401216
OpenAI Moderation v1 (007)
Violence > Graphic
0.0061140825
OpenAI Moderation v1 (007)
Sexual
0.0044418906
OpenAI Moderation v1 (007)
Sexual > Minors
0.002098826
OpenAI Moderation v1 (007)
Hate
0.0007065363
OpenAI Moderation v1 (007)
Self-Harm
0.0002065231
OpenAI Moderation v1 (007)
Hate > Threatening
8.01079E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
3.64349E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.2992E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
1.2
Flesch-Kincaid Ease
94.2
Gunning-Fog Score
4
Coleman-Liau Index
6.7
SMOG Index
6.1
Automated Readability Index
0
Dale-Chall Readability Score
2
Sprache Readability Score
1.4
Dale-Chall Difficult Word Score
2
Sprache Difficult Word Count
3
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
0.0489557919
OpenAI Moderation v1 (007)
Violence > Graphic
0.0019747966
OpenAI Moderation v1 (007)
Violence
0.0019629879
OpenAI Moderation v1 (007)
Harassment
0.0017079501
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0011730073
OpenAI Moderation v1 (007)
Self-Harm
0.0005874214
OpenAI Moderation v1 (007)
Sexual > Minors
0.0002964425
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.000244584
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0001745214
OpenAI Moderation v1 (007)
Hate
0.0001373121
OpenAI Moderation v1 (007)
Hate > Threatening
1.7581E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
0
Flesch-Kincaid Ease
100
Gunning-Fog Score
0.8
Coleman-Liau Index
7.6
SMOG Index
3.3
Automated Readability Index
0
Dale-Chall Readability Score
0.1
Sprache Readability Score
0.9
Dale-Chall Difficult Word Score
0
Sprache Difficult Word Count
0
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
0.778
Very Positive
Moderation
Harassment
0.0200922135
OpenAI Moderation v1 (007)
Sexual
0.0109201166
OpenAI Moderation v1 (007)
Violence
0.0013578397
OpenAI Moderation v1 (007)
Sexual > Minors
0.0005601898
OpenAI Moderation v1 (007)
Self-Harm
0.0001561461
OpenAI Moderation v1 (007)
Violence > Graphic
0.0001231679
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0001009753
OpenAI Moderation v1 (007)
Harassment > Threatening
7.49734E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
7.00075E-5
OpenAI Moderation v1 (007)
Hate
5.04292E-5
OpenAI Moderation v1 (007)
Hate > Threatening
7.097E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Labor > Employment > Occupations
Score:
100
Magnitude:
0.099
Code:
9003004
Url:
https://cv.iptc.org/newscodes/subjectcode/09003004
Wikidata_id:
Q12737077
Wikidata_label:
occupation
Source:
IPTC Subject
Topic:
Human Interest
Score:
66
Magnitude:
0.065
Code:
8000000
Url:
https://cv.iptc.org/newscodes/subjectcode/08000000
Wikidata_id:
Q361306
Wikidata_label:
human interest story
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
2.2
Flesch-Kincaid Ease
86.5
Gunning-Fog Score
6.6
Coleman-Liau Index
9.2
SMOG Index
7.3
Automated Readability Index
0.6
Dale-Chall Readability Score
4.1
Sprache Readability Score
1.4
Dale-Chall Difficult Word Score
2
Sprache Difficult Word Count
3
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
0.0502426701
OpenAI Moderation v1 (007)
Violence > Graphic
0.0020263322
OpenAI Moderation v1 (007)
Violence
0.0020143327
OpenAI Moderation v1 (007)
Harassment
0.0017415579
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0011888629
OpenAI Moderation v1 (007)
Self-Harm
0.0005955304
OpenAI Moderation v1 (007)
Sexual > Minors
0.0003046497
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0002463415
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0001769469
OpenAI Moderation v1 (007)
Hate
0.0001406181
OpenAI Moderation v1 (007)
Hate > Threatening
1.801E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
0
Flesch-Kincaid Ease
100
Gunning-Fog Score
0.8
Coleman-Liau Index
7.6
SMOG Index
3.3
Automated Readability Index
0
Dale-Chall Readability Score
0.1
Sprache Readability Score
0.9
Dale-Chall Difficult Word Score
0
Sprache Difficult Word Count
0
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
0.586
Very Positive
Moderation
Sexual
0.0935836055
OpenAI Moderation v1 (007)
Harassment
0.0147670391
OpenAI Moderation v1 (007)
Violence
0.0121520454
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0044749002
OpenAI Moderation v1 (007)
Self-Harm
0.0033916844
OpenAI Moderation v1 (007)
Sexual > Minors
0.0031059797
OpenAI Moderation v1 (007)
Violence > Graphic
0.0020252834
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0017129889
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0007682331
OpenAI Moderation v1 (007)
Hate
0.0005425473
OpenAI Moderation v1 (007)
Hate > Threatening
1.76162E-5
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
0.9
Flesch-Kincaid Ease
94.5
Gunning-Fog Score
1.4
Coleman-Liau Index
8.5
SMOG Index
3.3
Automated Readability Index
0
Dale-Chall Readability Score
0.2
Sprache Readability Score
1.2
Dale-Chall Difficult Word Score
0
Sprache Difficult Word Count
1
David Shulkin
00:04:03-00:04:19 (16 sec)No StressLens
Mr. President, as you know, at the Department of Veterans Affairs, preventing veteran suicide is our top priority, and something you talked about in the campaign and you and I have talked about many times since. Twenty veterans a day are taking their life through a suicide -- something that's just totally unacceptable.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.60944
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.09861
VADER
-0.911
Very Negative
Moderation
Self-Harm
0.007599486
OpenAI Moderation v1 (007)
Violence
0.0059194263
OpenAI Moderation v1 (007)
Harassment
0.0019318182
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0016098445
OpenAI Moderation v1 (007)
Violence > Graphic
0.0013187008
OpenAI Moderation v1 (007)
Sexual
0.0008038221
OpenAI Moderation v1 (007)
Hate
0.0002046254
OpenAI Moderation v1 (007)
Harassment > Threatening
0.000192314
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.6328E-5
OpenAI Moderation v1 (007)
Sexual > Minors
2.91383E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.6967E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Defense > Veterans Affairs
Score:
100
Magnitude:
0.476
Code:
11001001
Url:
https://cv.iptc.org/newscodes/subjectcode/11001001
Wikidata_id:
Q7923600
Wikidata_label:
veterans' affairs
Source:
IPTC Subject
Topic:
Defense
Score:
92.928
Magnitude:
53
Code:
16
Url:
https://fsc.al/cap-mc#16
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
10.9
Flesch-Kincaid Ease
47.7
Gunning-Fog Score
13.1
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
10.6
Dale-Chall Readability Score
5.7
Sprache Readability Score
4
Dale-Chall Difficult Word Score
16
Sprache Difficult Word Count
15
David Shulkin
00:04:19-00:04:35 (16 sec)No StressLens
So under your leadership, with this executive order, we're taking an unprecedented action today in that we will be covering all separating military members who are transitioning into civilian life -- 100 percent of them -- with the mental health benefit for 12 months.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.60944
Harvard-IV (Relative)
0.5
Positive
Harvard-IV (Absolute)
0.5
Positive
Harvard-IV (Logit)
0.8473
VADER
0.459
Positive
Moderation
Harassment > Threatening
0.0634926429
OpenAI Moderation v1 (007)
Violence
0.0546097406
OpenAI Moderation v1 (007)
Harassment
0.0206192519
OpenAI Moderation v1 (007)
Violence > Graphic
0.0154351466
OpenAI Moderation v1 (007)
Sexual
0.0013723223
OpenAI Moderation v1 (007)
Self-Harm
0.0008248491
OpenAI Moderation v1 (007)
Hate
0.0002450371
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001097118
OpenAI Moderation v1 (007)
Hate > Threatening
4.9051E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.39279E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.6766E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Health
Score:
100
Magnitude:
0.105
Code:
7000000
Url:
https://cv.iptc.org/newscodes/subjectcode/07000000
Wikidata_id:
Q12147
Wikidata_label:
health
Source:
IPTC Subject
Topic:
Defense
Score:
95.621
Magnitude:
42
Code:
16
Url:
https://fsc.al/cap-mc#16
Source:
Comparative Agendas
Topic:
Politics > Defense
Score:
89
Magnitude:
0.093
Code:
11001000
Url:
https://cv.iptc.org/newscodes/subjectcode/11001000
Wikidata_id:
Q17991228
Wikidata_label:
national defence
Source:
IPTC Subject
Topic:
Politics
Score:
69
Magnitude:
0.072
Code:
11000000
Url:
https://cv.iptc.org/newscodes/subjectcode/11000000
Wikidata_id:
Q7163
Wikidata_label:
politics
Source:
IPTC Subject
Topic:
Social Issue > People
Score:
52
Magnitude:
0.054
Code:
14024000
Url:
https://cv.iptc.org/newscodes/subjectcode/14024000
Wikidata_id:
Q1156970
Wikidata_label:
humanity
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
15.1
Gunning-Fog Score
19
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
6.6
Sprache Readability Score
5
Dale-Chall Difficult Word Score
12
Sprache Difficult Word Count
17
David Shulkin
00:04:35-00:04:50 (15 sec)No StressLens
And here are the important reasons. What you may not know is, is that that 12-month period after you leave service is the highest risk for suicide. Almost one and a half to two times highest risk in that first twelve months when you leave the service.
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
-0.807
Very Negative
Moderation
Harassment
0.1072618878
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0738894567
OpenAI Moderation v1 (007)
Self-Harm
0.0591991295
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0277111074
OpenAI Moderation v1 (007)
Violence
0.007648961
OpenAI Moderation v1 (007)
Hate
0.0021403454
OpenAI Moderation v1 (007)
Violence > Graphic
0.00154065
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0004186009
OpenAI Moderation v1 (007)
Sexual
0.0001847137
OpenAI Moderation v1 (007)
Sexual > Minors
1.98699E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.4375E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Sport > Tennis
Score:
100
Magnitude:
0.223
Code:
15065000
Url:
https://cv.iptc.org/newscodes/subjectcode/15065000
Wikidata_id:
Q847
Wikidata_label:
tennis
Source:
IPTC Subject
Topic:
Unrest, Conflicts and War > Civil Unrest
Score:
88
Magnitude:
0.197
Code:
16003000
Url:
https://cv.iptc.org/newscodes/subjectcode/16003000
Wikidata_id:
Q686984
Wikidata_label:
civil disorder
Source:
IPTC Subject
Topic:
Health
Score:
58.305
Magnitude:
47
Code:
3
Url:
https://fsc.al/cap-mc#3
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
5.2
Flesch-Kincaid Ease
86.6
Gunning-Fog Score
8.1
Coleman-Liau Index
8.5
SMOG Index
7.9
Automated Readability Index
6
Dale-Chall Readability Score
2.8
Sprache Readability Score
3.1
Dale-Chall Difficult Word Score
6
Sprache Difficult Word Count
6
David Shulkin
00:04:50-00:05:11 (21 sec)No StressLens
And currently, up until your executive order, only 40 percent of those servicemembers had coverage in the VA to get mental health. Now 100 percent will have that coverage, and it's the full array of services that the Department of Defense and the Department of Veteran Affairs will be able to provide in terms of mental health coverage.
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)
0.61904
VADER
0.128
Leans Positive
Moderation
Violence > Graphic
0.0589544419
OpenAI Moderation v1 (007)
Violence
0.0087665023
OpenAI Moderation v1 (007)
Harassment
0.0051267529
OpenAI Moderation v1 (007)
Harassment > Threatening
0.002111206
OpenAI Moderation v1 (007)
Self-Harm
0.0017592756
OpenAI Moderation v1 (007)
Sexual
0.0002568866
OpenAI Moderation v1 (007)
Hate
0.0001641022
OpenAI Moderation v1 (007)
Self-Harm > Intent
6.95991E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.99318E-5
OpenAI Moderation v1 (007)
Sexual > Minors
1.89066E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.4102E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Arts, Culture and Entertainment > Mass Media > News Media
Score:
100
Magnitude:
0.052
Code:
1026002
Url:
https://cv.iptc.org/newscodes/subjectcode/01026002
Wikidata_id:
Q1193236
Wikidata_label:
news media
Source:
IPTC Subject
Topic:
Health
Score:
51.955
Magnitude:
56
Code:
3
Url:
https://fsc.al/cap-mc#3
Source:
Comparative Agendas
Topic:
Defense
Score:
32.528
Magnitude:
56
Code:
16
Url:
https://fsc.al/cap-mc#16
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
43.2
Gunning-Fog Score
16.4
Coleman-Liau Index
11.4
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
6.1
Sprache Readability Score
5
Dale-Chall Difficult Word Score
17
Sprache Difficult Word Count
16
David Shulkin
00:05:11-00:05:35 (24 sec)No StressLens
I just want to thank Secretary Nielsen, Deputy Secretary Shanahan, Secretary Mattis, of course. Under your leadership, we've all come together. And with the Office of American Innovation and the Domestic Policy Office, you've brought together everything that will allow us to do this in the next 60 days. So starting March 9th, this is a reality for our country's veterans that they will have this mental health coverage. So thank you very much.
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
0.843
Very Positive
Moderation
Violence
0.0252910773
OpenAI Moderation v1 (007)
Violence > Graphic
0.0103362494
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0033491357
OpenAI Moderation v1 (007)
Self-Harm
0.0019610157
OpenAI Moderation v1 (007)
Harassment
0.0017232245
OpenAI Moderation v1 (007)
Sexual
0.0010487853
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0004548373
OpenAI Moderation v1 (007)
Hate
0.0002919501
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001090767
OpenAI Moderation v1 (007)
Self-Harm > Instructions
7.36331E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.17337E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Parliament
Score:
100
Magnitude:
0.062
Code:
11009000
Url:
https://cv.iptc.org/newscodes/subjectcode/11009000
Wikidata_id:
Q35749
Wikidata_label:
parliament
Source:
IPTC Subject
Topic:
Defense
Score:
89.113
Magnitude:
73
Code:
16
Url:
https://fsc.al/cap-mc#16
Source:
Comparative Agendas
Topic:
Politics > Defense > Veterans Affairs
Score:
88
Magnitude:
0.054
Code:
11001001
Url:
https://cv.iptc.org/newscodes/subjectcode/11001001
Wikidata_id:
Q7923600
Wikidata_label:
veterans' affairs
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
9.6
Flesch-Kincaid Ease
52.3
Gunning-Fog Score
9.7
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
8.6
Dale-Chall Readability Score
5.2
Sprache Readability Score
4.3
Dale-Chall Difficult Word Score
21
Sprache Difficult Word Count
22
Donald Trump
00:05:35-00:06:01 (26 sec)Medium (1.905)
Thank you very much. I'm very happy to have helped, and I think our veterans, above all else, are happy. They are -- the strides that we've made at the VA have been -- I don't know if they've been reported very much. You could tell me better than me. I haven't seen as much as we should see, but I will tell you every time I talk to somebody, they're thanking us -- all of us as a group -- for what we've done for the Veterans Administration.
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
0.76
Very Positive
Moderation
Harassment
0.0109750697
OpenAI Moderation v1 (007)
Violence
0.0035997396
OpenAI Moderation v1 (007)
Violence > Graphic
0.0007268925
OpenAI Moderation v1 (007)
Sexual
0.0005857572
OpenAI Moderation v1 (007)
Hate
0.0005707647
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001751794
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0001488779
OpenAI Moderation v1 (007)
Self-Harm
0.0001025004
OpenAI Moderation v1 (007)
Sexual > Minors
2.01772E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.5171E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.2783E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Defense > Veterans Affairs
Score:
100
Magnitude:
0.074
Code:
11001001
Url:
https://cv.iptc.org/newscodes/subjectcode/11001001
Wikidata_id:
Q7923600
Wikidata_label:
veterans' affairs
Source:
IPTC Subject
Topic:
Defense
Score:
87.076
Magnitude:
89
Code:
16
Url:
https://fsc.al/cap-mc#16
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
6.4
Flesch-Kincaid Ease
79.1
Gunning-Fog Score
8.7
Coleman-Liau Index
7
SMOG Index
9.5
Automated Readability Index
5.3
Dale-Chall Readability Score
2.9
Sprache Readability Score
3.8
Dale-Chall Difficult Word Score
11
Sprache Difficult Word Count
13