Fact
ba
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se
Donald J. Trump
Weekly Address: Donald Trump - Washington, DC - December 16, 2017
StressLens
3 Topics
Entities
Moderation
1 Speaker
Entities
No entities found
Moderation
No moderation found
Speakers
Donald Trump Donald Trump said 29 sentences of a total of 29 sentences.
100%
Donald Trump said 396 words of a total of 396 words.
100%
Donald Trump talked 177 seconds of a total of 177 seconds.
100%
Full Transcript
Donald Trump
00:00:00-00:00:18 (18 sec)No Signal (0.191)
My fellow Americans. This week I signed the National Defense Authorization Act, a historic step forward to rebuild our military. Now it is critical for Congress to pass the clean government appropriations bill that fully funds our military needs.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.60944
Harvard-IV (Relative)
0.42857
Positive
Harvard-IV (Absolute)
0.42857
Positive
Harvard-IV (Logit)
0.78846
VADER
0.226
Slightly Positive
Moderation
Violence
0.8945534937
OpenAI Moderation v1 (007)
Violence > Graphic
0.116049475
OpenAI Moderation v1 (007)
Harassment
0.0310084724
OpenAI Moderation v1 (007)
Hate
0.0074473377
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0035527679
OpenAI Moderation v1 (007)
Sexual
0.0028195975
OpenAI Moderation v1 (007)
Sexual > Minors
0.0004785332
OpenAI Moderation v1 (007)
Hate > Threatening
0.0003367783
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.86292E-5
OpenAI Moderation v1 (007)
Self-Harm
1.80915E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.7702E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Defense
Score:
100
Magnitude:
0.142
Code:
11001000
Url:
https://cv.iptc.org/newscodes/subjectcode/11001000
Wikidata_id:
Q17991228
Wikidata_label:
national defence
Source:
IPTC Subject
Topic:
Defense
Score:
96.275
Magnitude:
39
Code:
16
Url:
https://fsc.al/cap-mc#16
Source:
Comparative Agendas
Topic:
Politics > Government
Score:
53
Magnitude:
0.076
Code:
11006000
Url:
https://cv.iptc.org/newscodes/subjectcode/11006000
Wikidata_id:
Q7188
Wikidata_label:
government
Source:
IPTC Subject
Topic:
Politics > Government > National Government
Score:
53
Magnitude:
0.076
Code:
11006004
Url:
https://cv.iptc.org/newscodes/subjectcode/11006004
Wikidata_id:
Q1320217
Wikidata_label:
central government
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
11
Flesch-Kincaid Ease
39.6
Gunning-Fog Score
11.4
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
9.7
Dale-Chall Readability Score
5.5
Sprache Readability Score
3.6
Dale-Chall Difficult Word Score
12
Sprache Difficult Word Count
17
Donald Trump
00:00:18-00:00:28 (11 sec)No Signal (0.97)
We must not play politics with our troops. We should pass a clean funding bill and leave the politics aside. We must protect our nation.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
2.3979
VADER
0.57
Very Positive
Moderation
Violence
0.0834095001
OpenAI Moderation v1 (007)
Harassment
0.0135731985
OpenAI Moderation v1 (007)
Hate
0.0056134089
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0007447571
OpenAI Moderation v1 (007)
Violence > Graphic
0.0006923159
OpenAI Moderation v1 (007)
Hate > Threatening
4.82437E-5
OpenAI Moderation v1 (007)
Sexual
4.76108E-5
OpenAI Moderation v1 (007)
Sexual > Minors
5.1837E-6
OpenAI Moderation v1 (007)
Self-Harm
1.2214E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
9.911E-7
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.174E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Defense
Score:
100
Magnitude:
0.21
Code:
11001000
Url:
https://cv.iptc.org/newscodes/subjectcode/11001000
Wikidata_id:
Q17991228
Wikidata_label:
national defence
Source:
IPTC Subject
Topic:
Unrest, Conflicts and War > Civil Unrest
Score:
89
Magnitude:
0.187
Code:
16003000
Url:
https://cv.iptc.org/newscodes/subjectcode/16003000
Wikidata_id:
Q686984
Wikidata_label:
civil disorder
Source:
IPTC Subject
Topic:
Defense
Score:
27.776
Magnitude:
25
Code:
16
Url:
https://fsc.al/cap-mc#16
Source:
Comparative Agendas
Topic:
Macroeconomics
Score:
22.242
Magnitude:
25
Code:
1
Url:
https://fsc.al/cap-mc#1
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
3.2
Flesch-Kincaid Ease
86.7
Gunning-Fog Score
6.5
Coleman-Liau Index
9.8
SMOG Index
7.9
Automated Readability Index
3.3
Dale-Chall Readability Score
4.2
Sprache Readability Score
2.2
Dale-Chall Difficult Word Score
6
Sprache Difficult Word Count
7
Donald Trump
00:00:28-00:00:45 (16 sec)No Signal (0.396)
I'd also like to take a moment today to discuss our immigration system and how we can reform it to make it work for everyday Americans. Our current immigration system helps special interests, but hurts American workers, taxpayers, and national security.
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
0.431
Positive
Moderation
Harassment
0.2416533651
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0172392305
OpenAI Moderation v1 (007)
Hate
0.0167415201
OpenAI Moderation v1 (007)
Violence
0.0097737022
OpenAI Moderation v1 (007)
Violence > Graphic
0.001079041
OpenAI Moderation v1 (007)
Hate > Threatening
0.0001934698
OpenAI Moderation v1 (007)
Sexual
7.74771E-5
OpenAI Moderation v1 (007)
Sexual > Minors
3.03264E-5
OpenAI Moderation v1 (007)
Self-Harm
8.7445E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
4.0497E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.423E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Social Issue > Demographics > Immigration
Score:
100
Magnitude:
0.245
Code:
14003002
Url:
https://cv.iptc.org/newscodes/subjectcode/14003002
Wikidata_id:
Q131288
Wikidata_label:
immigration
Source:
IPTC Subject
Topic:
Politics > Migration
Score:
98
Magnitude:
0.239
Code:
11017000
Url:
https://cv.iptc.org/newscodes/subjectcode/11017000
Wikidata_id:
Q15064326
Wikidata_label:
immigration policy
Source:
IPTC Subject
Topic:
Immigration
Score:
94.187
Magnitude:
41
Code:
9
Url:
https://fsc.al/cap-mc#9
Source:
Comparative Agendas
Topic:
Labor > Employment
Score:
77
Magnitude:
0.188
Code:
9003000
Url:
https://cv.iptc.org/newscodes/subjectcode/09003000
Wikidata_id:
Q656365
Wikidata_label:
employment
Source:
IPTC Subject
Topic:
Labor > Health and Safety at Work
Score:
66
Magnitude:
0.162
Code:
9013000
Url:
https://cv.iptc.org/newscodes/subjectcode/09013000
Wikidata_id:
Q629029
Wikidata_label:
occupational health and safety
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
31.3
Gunning-Fog Score
15
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
6.8
Sprache Readability Score
4.2
Dale-Chall Difficult Word Score
15
Sprache Difficult Word Count
13
Donald Trump
00:00:45-00:01:01 (16 sec)No Signal (0.586)
For decades, now, U.S. immigration rules have been based on an outdated system known as chain migration. Under chain migration, foreign nationals can come to the United States and bring in unlimited numbers of foreign relatives.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
-0.2
Slightly Negative
Harvard-IV (Absolute)
-0.2
Slightly Negative
Harvard-IV (Logit)
-0.33647
VADER
0.422
Positive
Moderation
Harassment
2.0193643868
OpenAI Moderation v1 (007)
Violence
0.1606038539
OpenAI Moderation v1 (007)
Hate
0.0839072396
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0396731397
OpenAI Moderation v1 (007)
Sexual > Minors
0.008132746
OpenAI Moderation v1 (007)
Violence > Graphic
0.0056451128
OpenAI Moderation v1 (007)
Sexual
0.0013516834
OpenAI Moderation v1 (007)
Hate > Threatening
0.0009126287
OpenAI Moderation v1 (007)
Self-Harm
3.5134E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
9.0188E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
8.8036E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Social Issue > Demographics > Immigration
Score:
100
Magnitude:
0.312
Code:
14003002
Url:
https://cv.iptc.org/newscodes/subjectcode/14003002
Wikidata_id:
Q131288
Wikidata_label:
immigration
Source:
IPTC Subject
Topic:
Immigration
Score:
94.309
Magnitude:
37
Code:
9
Url:
https://fsc.al/cap-mc#9
Source:
Comparative Agendas
Topic:
Politics > Migration
Score:
85
Magnitude:
0.265
Code:
11017000
Url:
https://cv.iptc.org/newscodes/subjectcode/11017000
Wikidata_id:
Q15064326
Wikidata_label:
immigration policy
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
7.8
Flesch-Kincaid Ease
55.7
Gunning-Fog Score
11.3
Coleman-Liau Index
12
SMOG Index
11.3
Automated Readability Index
6.9
Dale-Chall Readability Score
6
Sprache Readability Score
2.9
Dale-Chall Difficult Word Score
13
Sprache Difficult Word Count
14
Donald Trump
00:01:01-00:01:32 (31 sec)No Signal (0.79)
A single immigrant can begin a chain that could ultimately bring in dozens of increasingly distant relations. Because these individuals are admitted solely on the basis of family ties, not skill or not merit, most of this immigration is lower-skilled, putting great strain on federal welfare, and because there is no real selection criteria, the current system is totally incompatible with national security.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.8
Very Positive
Harvard-IV (Absolute)
0.8
Very Positive
Harvard-IV (Logit)
1.84583
VADER
0.609
Very Positive
Moderation
Harassment
67.6586687565
OpenAI Moderation v1 (007)
Hate
0.8759843186
OpenAI Moderation v1 (007)
Harassment > Threatening
0.2992578549
OpenAI Moderation v1 (007)
Violence
0.0403862534
OpenAI Moderation v1 (007)
Violence > Graphic
0.0118865362
OpenAI Moderation v1 (007)
Hate > Threatening
0.0004086963
OpenAI Moderation v1 (007)
Sexual > Minors
0.0003815294
OpenAI Moderation v1 (007)
Self-Harm
0.0003089586
OpenAI Moderation v1 (007)
Sexual
0.0001991229
OpenAI Moderation v1 (007)
Self-Harm > Intent
4.86659E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.51393E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Social Issue > Demographics > Immigration
Score:
100
Magnitude:
0.347
Code:
14003002
Url:
https://cv.iptc.org/newscodes/subjectcode/14003002
Wikidata_id:
Q131288
Wikidata_label:
immigration
Source:
IPTC Subject
Topic:
Politics > Migration
Score:
98
Magnitude:
0.341
Code:
11017000
Url:
https://cv.iptc.org/newscodes/subjectcode/11017000
Wikidata_id:
Q15064326
Wikidata_label:
immigration policy
Source:
IPTC Subject
Topic:
Immigration
Score:
94.797
Magnitude:
63
Code:
9
Url:
https://fsc.al/cap-mc#9
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
18.4
Gunning-Fog Score
19
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
8
Sprache Readability Score
5
Dale-Chall Difficult Word Score
26
Sprache Difficult Word Count
30
Donald Trump
00:01:32-00:01:44 (12 sec)No Signal (0.868)
This week, a terrorist exploded a pipe bomb on a busy subway passage during rush hour in New York City, injuring innocent Americans. This individual arrived through chain migration.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
-0.2
Slightly Negative
Harvard-IV (Absolute)
-0.2
Slightly Negative
Harvard-IV (Logit)
-0.33647
VADER
-0.758
Very Negative
Moderation
Harassment
57.4560165405
OpenAI Moderation v1 (007)
Violence
8.4505140781
OpenAI Moderation v1 (007)
Harassment > Threatening
0.7802709006
OpenAI Moderation v1 (007)
Hate
0.3429630073
OpenAI Moderation v1 (007)
Violence > Graphic
0.2571282675
OpenAI Moderation v1 (007)
Hate > Threatening
0.0031215008
OpenAI Moderation v1 (007)
Self-Harm
0.0001938528
OpenAI Moderation v1 (007)
Sexual
7.73812E-5
OpenAI Moderation v1 (007)
Sexual > Minors
5.99048E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
7.012E-7
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.43E-8
OpenAI Moderation v1 (007)
Topics
Topic:
Unrest, Conflicts and War
Score:
100
Magnitude:
0.198
Code:
16000000
Url:
https://cv.iptc.org/newscodes/subjectcode/16000000
Wikidata_id:
Q198
Wikidata_label:
war
Source:
IPTC Subject
Topic:
Unrest, Conflicts and War > Act of Terror
Score:
90
Magnitude:
0.179
Code:
16001000
Url:
https://cv.iptc.org/newscodes/subjectcode/16001000
Wikidata_id:
Q2223653
Wikidata_label:
terrorist attack
Source:
IPTC Subject
Topic:
Politics > Migration
Score:
60
Magnitude:
0.118
Code:
11017000
Url:
https://cv.iptc.org/newscodes/subjectcode/11017000
Wikidata_id:
Q15064326
Wikidata_label:
immigration policy
Source:
IPTC Subject
Topic:
International Affairs
Score:
41.695
Magnitude:
29
Code:
19
Url:
https://fsc.al/cap-mc#19
Source:
Comparative Agendas
Topic:
Civil Rights
Score:
20.532
Magnitude:
29
Code:
2
Url:
https://fsc.al/cap-mc#2
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
11.2
Flesch-Kincaid Ease
40.4
Gunning-Fog Score
14.1
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
10
Dale-Chall Readability Score
6.7
Sprache Readability Score
3.6
Dale-Chall Difficult Word Score
11
Sprache Difficult Word Count
14
Donald Trump
00:01:44-00:01:57 (12 sec)Weak (1.046)
In October, and other terrorists drove a truck into pedestrians and cyclists in New York City, killing eight people and wounding many others. That individual came through a visa lottery.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
-0.33333
Somewhat Negative
Harvard-IV (Absolute)
-0.33333
Somewhat Negative
Harvard-IV (Logit)
-0.51083
VADER
-0.859
Very Negative
Moderation
Harassment
7.1008853614
OpenAI Moderation v1 (007)
Violence
2.1499136463
OpenAI Moderation v1 (007)
Violence > Graphic
0.1941310475
OpenAI Moderation v1 (007)
Harassment > Threatening
0.1284150407
OpenAI Moderation v1 (007)
Hate
0.0929065747
OpenAI Moderation v1 (007)
Hate > Threatening
0.0007617097
OpenAI Moderation v1 (007)
Self-Harm
0.0006589158
OpenAI Moderation v1 (007)
Sexual
0.0004919139
OpenAI Moderation v1 (007)
Sexual > Minors
4.45524E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.18049E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.8093E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Sport > Cycling
Score:
100
Magnitude:
0.19
Code:
15019000
Url:
https://cv.iptc.org/newscodes/subjectcode/15019000
Wikidata_id:
Q2215841
Wikidata_label:
cycle sport
Source:
IPTC Subject
Topic:
International Affairs
Score:
72.144
Magnitude:
30
Code:
19
Url:
https://fsc.al/cap-mc#19
Source:
Comparative Agendas
Topic:
Unrest, Conflicts and War > Act of Terror
Score:
52
Magnitude:
0.098
Code:
16001000
Url:
https://cv.iptc.org/newscodes/subjectcode/16001000
Wikidata_id:
Q2223653
Wikidata_label:
terrorist attack
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
11.1
Flesch-Kincaid Ease
42.2
Gunning-Fog Score
11.3
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
10.1
Dale-Chall Readability Score
6
Sprache Readability Score
3.3
Dale-Chall Difficult Word Score
10
Sprache Difficult Word Count
10
Donald Trump
00:01:57-00:02:11 (15 sec)No Signal (0.102)
It is time to create a merit-based immigration system that makes sense for a modern economy, selecting new arrivals based on their ability to support themselves financially and to make positive contributions to U.S. society.
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)
3.13549
VADER
0.866
Very Positive
Moderation
Harassment
0.5641831085
OpenAI Moderation v1 (007)
Harassment > Threatening
0.1015701564
OpenAI Moderation v1 (007)
Violence
0.0184353572
OpenAI Moderation v1 (007)
Hate
0.0104664578
OpenAI Moderation v1 (007)
Hate > Threatening
0.0007475243
OpenAI Moderation v1 (007)
Violence > Graphic
0.0002212511
OpenAI Moderation v1 (007)
Sexual
3.44999E-5
OpenAI Moderation v1 (007)
Self-Harm
4.6261E-6
OpenAI Moderation v1 (007)
Sexual > Minors
1.7217E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.1687E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
6.952E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Social Issue > Demographics > Immigration
Score:
100
Magnitude:
0.157
Code:
14003002
Url:
https://cv.iptc.org/newscodes/subjectcode/14003002
Wikidata_id:
Q131288
Wikidata_label:
immigration
Source:
IPTC Subject
Topic:
Immigration
Score:
94.549
Magnitude:
36
Code:
9
Url:
https://fsc.al/cap-mc#9
Source:
Comparative Agendas
Topic:
Politics > Migration
Score:
86
Magnitude:
0.135
Code:
11017000
Url:
https://cv.iptc.org/newscodes/subjectcode/11017000
Wikidata_id:
Q15064326
Wikidata_label:
immigration policy
Source:
IPTC Subject
Topic:
Politics > Election
Score:
57
Magnitude:
0.09
Code:
11003000
Url:
https://cv.iptc.org/newscodes/subjectcode/11003000
Wikidata_id:
Q40231
Wikidata_label:
public election
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
10.9
Flesch-Kincaid Ease
38.8
Gunning-Fog Score
14.7
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
8.3
Dale-Chall Readability Score
7.9
Sprache Readability Score
3.5
Dale-Chall Difficult Word Score
17
Sprache Difficult Word Count
17
Donald Trump
00:02:11-00:02:29 (18 sec)Weak (1.328)
Base it on love of our country. We want people that come in that can love our country. This process begins with Congress passing a bill to end chain migration, and also end the visa lottery.
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
0.866
Very Positive
Moderation
Harassment
0.3351242049
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0985851395
OpenAI Moderation v1 (007)
Violence
0.0579722808
OpenAI Moderation v1 (007)
Hate
0.0073616815
OpenAI Moderation v1 (007)
Violence > Graphic
0.0028859238
OpenAI Moderation v1 (007)
Sexual
0.0005328613
OpenAI Moderation v1 (007)
Hate > Threatening
0.0003124464
OpenAI Moderation v1 (007)
Self-Harm
6.35058E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
4.38451E-5
OpenAI Moderation v1 (007)
Sexual > Minors
2.66669E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.14192E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Migration
Score:
100
Magnitude:
0.204
Code:
11017000
Url:
https://cv.iptc.org/newscodes/subjectcode/11017000
Wikidata_id:
Q15064326
Wikidata_label:
immigration policy
Source:
IPTC Subject
Topic:
Immigration
Score:
93.744
Magnitude:
36
Code:
9
Url:
https://fsc.al/cap-mc#9
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
5.2
Flesch-Kincaid Ease
79.5
Gunning-Fog Score
7
Coleman-Liau Index
8.9
SMOG Index
7.9
Automated Readability Index
4.3
Dale-Chall Readability Score
3.2
Sprache Readability Score
2.8
Dale-Chall Difficult Word Score
6
Sprache Difficult Word Count
9
Donald Trump
00:02:29-00:02:45 (16 sec)Weak (1.292)
I have called on Congress to do exactly that. Ending chain migration and also ending the visa lottery, will allow us to have common-sense immigration rules that promote assimilation and wage growth.
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
0.727
Very Positive
Moderation
Harassment
0.2352685668
OpenAI Moderation v1 (007)
Harassment > Threatening
0.1125381212
OpenAI Moderation v1 (007)
Violence
0.0318891805
OpenAI Moderation v1 (007)
Hate
0.0050253107
OpenAI Moderation v1 (007)
Violence > Graphic
0.0044430006
OpenAI Moderation v1 (007)
Sexual
0.0004357395
OpenAI Moderation v1 (007)
Hate > Threatening
0.0002999529
OpenAI Moderation v1 (007)
Sexual > Minors
3.54013E-5
OpenAI Moderation v1 (007)
Self-Harm
3.31416E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
3.03359E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
7.2846E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Migration
Score:
100
Magnitude:
0.263
Code:
11017000
Url:
https://cv.iptc.org/newscodes/subjectcode/11017000
Wikidata_id:
Q15064326
Wikidata_label:
immigration policy
Source:
IPTC Subject
Topic:
Immigration
Score:
94.39
Magnitude:
32
Code:
9
Url:
https://fsc.al/cap-mc#9
Source:
Comparative Agendas
Topic:
Social Issue > Demographics > Immigration
Score:
69
Magnitude:
0.182
Code:
14003002
Url:
https://cv.iptc.org/newscodes/subjectcode/14003002
Wikidata_id:
Q131288
Wikidata_label:
immigration
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
10.5
Flesch-Kincaid Ease
49.1
Gunning-Fog Score
12.7
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
10.1
Dale-Chall Readability Score
7
Sprache Readability Score
4
Dale-Chall Difficult Word Score
13
Sprache Difficult Word Count
16
Donald Trump
00:02:45-00:02:57 (12 sec)No Signal (0.84)
It also promotes, most importantly, safety. It will help Americans, both old and new, to thrive, flourish and prosper. Thank you, and God bless America.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.09861
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
2.56495
VADER
0.945
Very Positive
Moderation
Violence
0.1206112211
OpenAI Moderation v1 (007)
Harassment
0.0429850887
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0334020529
OpenAI Moderation v1 (007)
Violence > Graphic
0.0190790059
OpenAI Moderation v1 (007)
Hate
0.0035733283
OpenAI Moderation v1 (007)
Sexual
0.0005403548
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001679738
OpenAI Moderation v1 (007)
Self-Harm
8.50636E-5
OpenAI Moderation v1 (007)
Hate > Threatening
4.70245E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.60237E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
5.5624E-6
OpenAI Moderation v1 (007)
Topics
Topic:
International Affairs
Score:
43.957
Magnitude:
25
Code:
19
Url:
https://fsc.al/cap-mc#19
Source:
Comparative Agendas
Topic:
International Affairs
Score:
38.524
Magnitude:
25
Code:
19
Url:
https://fsc.al/cap-mc#19
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
6.5
Flesch-Kincaid Ease
63
Gunning-Fog Score
6.5
Coleman-Liau Index
12
SMOG Index
9.9
Automated Readability Index
5.2
Dale-Chall Readability Score
5.5
Sprache Readability Score
2.5
Dale-Chall Difficult Word Score
8
Sprache Difficult Word Count
10