Fact
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Donald J. Trump
Remarks: Donald Trump At Event Honoring WWII Navajo Code Talkers - November 27, 2017
StressLens
2 Topics
Entities
Moderation
4 Speakers
Entities
No entities found
Moderation
No moderation found
Speakers
Peter MacDonald Peter MacDonald said 69 sentences of a total of 170 sentences.
41%
Peter MacDonald said 977 words of a total of 2103 words.
47%
Peter MacDonald talked 611 seconds of a total of 1034 seconds.
60%
Donald Trump Donald Trump said 89 sentences of a total of 170 sentences.
53%
Donald Trump said 938 words of a total of 2103 words.
45%
Donald Trump talked 349 seconds of a total of 1034 seconds.
34%
John Kelly John Kelly said 10 sentences of a total of 170 sentences.
6%
John Kelly said 171 words of a total of 2103 words.
9%
John Kelly talked 67 seconds of a total of 1034 seconds.
7%
Question Question said 2 sentences of a total of 170 sentences.
2%
Question said 17 words of a total of 2103 words.
1%
Question talked 5 seconds of a total of 1034 seconds.
1%
Full Transcript
Peter MacDonald
00:00:00-00:01:19 (79 sec)No StressLens
Thank you, Honorable President of this great United States of America, President Trump. Thank you for inviting us, Navajo Code Talkers, to the Capitol and to the White House of this great nation we call the United States.
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)
2.56495
VADER
0.912
Very Positive
Moderation
Harassment
0.1234953757
OpenAI Moderation v1 (007)
Violence
0.0343680353
OpenAI Moderation v1 (007)
Harassment > Threatening
0.01012102
OpenAI Moderation v1 (007)
Hate
0.0076935547
OpenAI Moderation v1 (007)
Sexual
0.0051157691
OpenAI Moderation v1 (007)
Violence > Graphic
0.0029876899
OpenAI Moderation v1 (007)
Sexual > Minors
0.0003875564
OpenAI Moderation v1 (007)
Self-Harm
3.97968E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.83382E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
8.0127E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.2854E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance > Construction and Property
Score:
100
Magnitude:
0.059
Code:
4004000
Url:
https://cv.iptc.org/newscodes/subjectcode/04004000
Source:
IPTC Subject
Topic:
Human Interest > People > Celebrity
Score:
95
Magnitude:
0.056
Code:
8003002
Url:
https://cv.iptc.org/newscodes/subjectcode/08003002
Wikidata_id:
Q211236
Wikidata_label:
celebrity
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
9.8
Flesch-Kincaid Ease
58.4
Gunning-Fog Score
8.7
Coleman-Liau Index
11.8
SMOG Index
12
Automated Readability Index
10.1
Dale-Chall Readability Score
6.3
Sprache Readability Score
3.9
Dale-Chall Difficult Word Score
13
Sprache Difficult Word Count
12
Peter MacDonald
00:01:19-00:02:14 (55 sec)No StressLens
Today, we have with us three of the thirteen surviving Navajo Code Talkers of World War II. First, we have Fleming Begaye. Fleming Begaye is 97 years old, the oldest veteran of World War II. He survived the Battle of Tarawa. His landing craft was blown up and he literally had to swim to the beach to survive. Also, on Saipan, he also landed on Tinian where he got shot up real badly, survived one year in naval hospital.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.27273
Slightly Positive
Harvard-IV (Absolute)
0.27273
Slightly Positive
Harvard-IV (Logit)
0.51083
VADER
-0.691
Very Negative
Moderation
Violence
0.7813315839
OpenAI Moderation v1 (007)
Violence > Graphic
0.1423088717
OpenAI Moderation v1 (007)
Harassment
0.011319336
OpenAI Moderation v1 (007)
Self-Harm
0.0069451533
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0053297328
OpenAI Moderation v1 (007)
Hate
0.0045315686
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0005116699
OpenAI Moderation v1 (007)
Sexual
0.0005101182
OpenAI Moderation v1 (007)
Sexual > Minors
0.0002793209
OpenAI Moderation v1 (007)
Hate > Threatening
9.51491E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
7.8401E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Disaster and Accident
Score:
100
Magnitude:
0.087
Code:
3000000
Url:
https://cv.iptc.org/newscodes/subjectcode/03000000
Wikidata_id:
Q12890393
Wikidata_label:
incident
Source:
IPTC Subject
Topic:
Unrest, Conflicts and War > War
Score:
98
Magnitude:
0.085
Code:
16009000
Url:
https://cv.iptc.org/newscodes/subjectcode/16009000
Wikidata_id:
Q198
Wikidata_label:
war
Source:
IPTC Subject
Topic:
Unrest, Conflicts and War
Score:
81
Magnitude:
0.07
Code:
16000000
Url:
https://cv.iptc.org/newscodes/subjectcode/16000000
Wikidata_id:
Q198
Wikidata_label:
war
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
6.7
Flesch-Kincaid Ease
70.3
Gunning-Fog Score
7.3
Coleman-Liau Index
8.7
SMOG Index
9.4
Automated Readability Index
4.8
Dale-Chall Readability Score
5.5
Sprache Readability Score
4.3
Dale-Chall Difficult Word Score
24
Sprache Difficult Word Count
25
Peter MacDonald
00:02:14-00:02:54 (40 sec)No StressLens
We have Thomas Begay, also one of the Code Talkers who were on Iwo Jima, a tough battle, where Three Marine Division landed on Iwo; 5th Marine Division -- he was part of the Code Talkers within the 5th Marine Division. Also, as if Marine Corps was not enough, he enlisted to be United States Army, and served in the Korean War. Survived that awful battle at Chosin.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
-0.71429
Very Negative
Harvard-IV (Absolute)
-0.71429
Very Negative
Harvard-IV (Logit)
-1.46634
VADER
-0.758
Very Negative
Moderation
Violence
0.6593097467
OpenAI Moderation v1 (007)
Harassment
0.072354282
OpenAI Moderation v1 (007)
Violence > Graphic
0.0597688137
OpenAI Moderation v1 (007)
Hate
0.0045259021
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0034011744
OpenAI Moderation v1 (007)
Self-Harm
0.0011254519
OpenAI Moderation v1 (007)
Sexual
0.0001887294
OpenAI Moderation v1 (007)
Self-Harm > Intent
6.06585E-5
OpenAI Moderation v1 (007)
Sexual > Minors
3.9142E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.17626E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.54864E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Unrest, Conflicts and War > War
Score:
100
Magnitude:
0.104
Code:
16009000
Url:
https://cv.iptc.org/newscodes/subjectcode/16009000
Wikidata_id:
Q198
Wikidata_label:
war
Source:
IPTC Subject
Topic:
Defense
Score:
93.303
Magnitude:
68
Code:
16
Url:
https://fsc.al/cap-mc#16
Source:
Comparative Agendas
Topic:
Science and Technology > Marine Science
Score:
62
Magnitude:
0.065
Code:
13014000
Url:
https://cv.iptc.org/newscodes/subjectcode/13014000
Wikidata_id:
Q3349060
Wikidata_label:
oceanology
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
10.7
Flesch-Kincaid Ease
57.9
Gunning-Fog Score
9.5
Coleman-Liau Index
9.2
SMOG Index
10.6
Automated Readability Index
9.7
Dale-Chall Readability Score
7.2
Sprache Readability Score
5
Dale-Chall Difficult Word Score
26
Sprache Difficult Word Count
23
Peter MacDonald
00:02:54-00:03:48 (54 sec)No StressLens
My name is Peter MacDonald. I'm the president of the 13 surviving Navajo Code Talkers. I went in -- I'm 90 years old -- I went in when I was 15 years old in 1944. I was with the 1st Marine Brigade on Guam, and then went on to North China with 6th Marine Division to get those Japanese in Northern China to surrender. They didn't want to surrender, but it took 1st Marine Division, 6th Marine Division to get them to surrender eventually. We had a separate treaty ceremony in Tsingtao, China, October 25th, 1945.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
-0.25
Slightly Negative
Harvard-IV (Absolute)
-0.25
Slightly Negative
Harvard-IV (Logit)
-0.45199
VADER
0.19
Leans Positive
Moderation
Violence
0.2863500733
OpenAI Moderation v1 (007)
Harassment
0.129884528
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0517470471
OpenAI Moderation v1 (007)
Hate
0.0187227604
OpenAI Moderation v1 (007)
Sexual > Minors
0.0067074972
OpenAI Moderation v1 (007)
Sexual
0.0048583941
OpenAI Moderation v1 (007)
Hate > Threatening
0.0025708317
OpenAI Moderation v1 (007)
Violence > Graphic
0.0020309619
OpenAI Moderation v1 (007)
Self-Harm
5.17963E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
3.7237E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
6.14E-8
OpenAI Moderation v1 (007)
Topics
Topic:
Science and Technology > Marine Science
Score:
100
Magnitude:
0.067
Code:
13014000
Url:
https://cv.iptc.org/newscodes/subjectcode/13014000
Wikidata_id:
Q3349060
Wikidata_label:
oceanology
Source:
IPTC Subject
Topic:
International Affairs
Score:
48.363
Magnitude:
92
Code:
19
Url:
https://fsc.al/cap-mc#19
Source:
Comparative Agendas
Topic:
Defense
Score:
44.174
Magnitude:
92
Code:
16
Url:
https://fsc.al/cap-mc#16
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
6.5
Flesch-Kincaid Ease
72.8
Gunning-Fog Score
8.4
Coleman-Liau Index
7.6
SMOG Index
11.3
Automated Readability Index
4
Dale-Chall Readability Score
6
Sprache Readability Score
4.4
Dale-Chall Difficult Word Score
32
Sprache Difficult Word Count
25
Peter MacDonald
00:03:48-00:04:18 (30 sec)No StressLens
Navajo Code Talkers, in the early part of World War II, the enemy was breaking every military code that was being used in the Pacific. This created a huge problem for strategizing against the enemy. Eventually, a suggestion was made in early 1942 -- February '42, essentially -- to use Navajo language as a code.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.60944
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
-0.883
Very Negative
Moderation
Harassment
0.0360497099
OpenAI Moderation v1 (007)
Violence
0.0157176022
OpenAI Moderation v1 (007)
Violence > Graphic
0.011063258
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0074638112
OpenAI Moderation v1 (007)
Hate
0.006173108
OpenAI Moderation v1 (007)
Sexual
0.0001120809
OpenAI Moderation v1 (007)
Self-Harm
7.4995E-5
OpenAI Moderation v1 (007)
Hate > Threatening
3.43069E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.93319E-5
OpenAI Moderation v1 (007)
Sexual > Minors
4.682E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.2719E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Unrest, Conflicts and War > War
Score:
100
Magnitude:
0.169
Code:
16009000
Url:
https://cv.iptc.org/newscodes/subjectcode/16009000
Wikidata_id:
Q198
Wikidata_label:
war
Source:
IPTC Subject
Topic:
Politics > Defense
Score:
50
Magnitude:
0.085
Code:
11001000
Url:
https://cv.iptc.org/newscodes/subjectcode/11001000
Wikidata_id:
Q17991228
Wikidata_label:
national defence
Source:
IPTC Subject
Topic:
International Affairs
Score:
47.199
Magnitude:
54
Code:
19
Url:
https://fsc.al/cap-mc#19
Source:
Comparative Agendas
Topic:
Defense
Score:
42.994
Magnitude:
54
Code:
16
Url:
https://fsc.al/cap-mc#16
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
11.8
Flesch-Kincaid Ease
42.1
Gunning-Fog Score
13.1
Coleman-Liau Index
10.9
SMOG Index
12
Automated Readability Index
8.7
Dale-Chall Readability Score
5.6
Sprache Readability Score
4.2
Dale-Chall Difficult Word Score
16
Sprache Difficult Word Count
17
Peter MacDonald
00:04:18-00:04:40 (22 sec)No StressLens
The Marine Corps recruited 29 young Navajos, not telling them what they are being recruited for, because this was a top-secret operation. They were just asked, "Do you want to join the Marines? You want to fight the enemy? Come join the Marines."" So they volunteered."
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.14286
Leans Positive
Harvard-IV (Absolute)
0.14286
Leans Positive
Harvard-IV (Logit)
0.25131
VADER
-0.353
Somewhat Negative
Moderation
Harassment
10.0980088115
OpenAI Moderation v1 (007)
Violence
1.4007722959
OpenAI Moderation v1 (007)
Hate
0.3573949216
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0429478183
OpenAI Moderation v1 (007)
Violence > Graphic
0.0300068001
OpenAI Moderation v1 (007)
Sexual
0.0013460107
OpenAI Moderation v1 (007)
Sexual > Minors
0.0011432939
OpenAI Moderation v1 (007)
Hate > Threatening
0.0006981725
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.00045995
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0004140525
OpenAI Moderation v1 (007)
Self-Harm
0.0003799086
OpenAI Moderation v1 (007)
Topics
Topic:
Unrest, Conflicts and War > War
Score:
100
Magnitude:
0.061
Code:
16009000
Url:
https://cv.iptc.org/newscodes/subjectcode/16009000
Wikidata_id:
Q198
Wikidata_label:
war
Source:
IPTC Subject
Topic:
Defense
Score:
95.344
Magnitude:
45
Code:
16
Url:
https://fsc.al/cap-mc#16
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
4.6
Flesch-Kincaid Ease
78.5
Gunning-Fog Score
8
Coleman-Liau Index
10.4
SMOG Index
9.5
Automated Readability Index
4.2
Dale-Chall Readability Score
4.2
Sprache Readability Score
2.5
Dale-Chall Difficult Word Score
11
Sprache Difficult Word Count
9
Peter MacDonald
00:04:40-00:05:10 (30 sec)No StressLens
Twenty-nine young Navajos joined the Marines in 1942, after going through boot camp, passed boot camp with flying colors; combat training -- the same thing. Then entered the Marine Corps Communication School -- passed that. Then they were separated from all the rest of the Marines, took them to a top-secret location just east of San Diego -- Camp Elliott. That's where they created a military code to be used in the Pacific.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.2
Leans Positive
Harvard-IV (Absolute)
0.2
Leans Positive
Harvard-IV (Logit)
0.36772
VADER
-0.103
Leans Negative
Moderation
Harassment
1.2732911855
OpenAI Moderation v1 (007)
Violence
0.0792835315
OpenAI Moderation v1 (007)
Hate
0.0391513866
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0253193284
OpenAI Moderation v1 (007)
Violence > Graphic
0.0032610056
OpenAI Moderation v1 (007)
Sexual
0.0024426821
OpenAI Moderation v1 (007)
Sexual > Minors
0.0018474666
OpenAI Moderation v1 (007)
Self-Harm
0.0002642706
OpenAI Moderation v1 (007)
Hate > Threatening
0.0002534655
OpenAI Moderation v1 (007)
Self-Harm > Intent
5.87786E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.70756E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Defense
Score:
100
Magnitude:
0.115
Code:
11001000
Url:
https://cv.iptc.org/newscodes/subjectcode/11001000
Wikidata_id:
Q17991228
Wikidata_label:
national defence
Source:
IPTC Subject
Topic:
Defense
Score:
95.508
Magnitude:
72
Code:
16
Url:
https://fsc.al/cap-mc#16
Source:
Comparative Agendas
Topic:
Sport > Soccer
Score:
51
Magnitude:
0.059
Code:
15054000
Url:
https://cv.iptc.org/newscodes/subjectcode/15054000
Wikidata_id:
Q2736
Wikidata_label:
association football
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
8.1
Flesch-Kincaid Ease
68.7
Gunning-Fog Score
8.9
Coleman-Liau Index
11.4
SMOG Index
10.8
Automated Readability Index
9.4
Dale-Chall Readability Score
5.7
Sprache Readability Score
4.7
Dale-Chall Difficult Word Score
22
Sprache Difficult Word Count
23
Peter MacDonald
00:05:10-00:05:25 (14 sec)No StressLens
After creating 260 code words, the 29 young Marines -- half of them were sent overseas to join the 1st Marine Division. The 1st Marine Division was getting ready to go on to the first offensive movement in the Pacific, Guadalcanal.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
-0.33333
Somewhat Negative
Harvard-IV (Absolute)
-0.33333
Somewhat Negative
Harvard-IV (Logit)
-0.58779
VADER
0.44
Positive
Moderation
Violence
0.1124109956
OpenAI Moderation v1 (007)
Hate
0.0049570761
OpenAI Moderation v1 (007)
Harassment
0.004039504
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0016318119
OpenAI Moderation v1 (007)
Hate > Threatening
0.0009374473
OpenAI Moderation v1 (007)
Violence > Graphic
0.0008139017
OpenAI Moderation v1 (007)
Sexual
0.0007411803
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001783636
OpenAI Moderation v1 (007)
Self-Harm
8.8297E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
9.299E-7
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.291E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Defense
Score:
95.763
Magnitude:
39
Code:
16
Url:
https://fsc.al/cap-mc#16
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
9.6
Flesch-Kincaid Ease
61.8
Gunning-Fog Score
10
Coleman-Liau Index
10.4
SMOG Index
12
Automated Readability Index
9.5
Dale-Chall Readability Score
6.5
Sprache Readability Score
4
Dale-Chall Difficult Word Score
14
Sprache Difficult Word Count
11
Peter MacDonald
00:05:25-00:06:13 (48 sec)No StressLens
On August 7, 1942 -- 75 years ago -- 1st Marine Division hit the beaches of Guadalcanal with 15 Navajo Code Talkers. This was the first battle where the Navajo code was to be tested in actual battle to test to see how our memory would be under heavy enemy fire. Well, three weeks after the landing, General Van De Griff, Commander of the 1st Marine Division, sent word back to United States saying, this Navajo code is terrific. The enemy never understood it; he said, we don't understand it either, but it works. Send us some more Navajos.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
0.09091
Neutral
Harvard-IV (Absolute)
0.09091
Neutral
Harvard-IV (Logit)
0.16705
VADER
-0.511
Very Negative
Moderation
Violence
0.3815173637
OpenAI Moderation v1 (007)
Harassment > Threatening
0.1062627183
OpenAI Moderation v1 (007)
Harassment
0.0555918785
OpenAI Moderation v1 (007)
Violence > Graphic
0.0136175076
OpenAI Moderation v1 (007)
Hate > Threatening
0.0087750923
OpenAI Moderation v1 (007)
Hate
0.0076167315
OpenAI Moderation v1 (007)
Sexual > Minors
0.0004112592
OpenAI Moderation v1 (007)
Sexual
0.0003800227
OpenAI Moderation v1 (007)
Self-Harm
0.0001505486
OpenAI Moderation v1 (007)
Self-Harm > Intent
4.0807E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
5.4264E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Unrest, Conflicts and War > War
Score:
100
Magnitude:
0.068
Code:
16009000
Url:
https://cv.iptc.org/newscodes/subjectcode/16009000
Wikidata_id:
Q198
Wikidata_label:
war
Source:
IPTC Subject
Topic:
Disaster and Accident > Fire
Score:
82
Magnitude:
0.056
Code:
3004000
Url:
https://cv.iptc.org/newscodes/subjectcode/03004000
Wikidata_id:
Q3196
Wikidata_label:
fire
Source:
IPTC Subject
Topic:
International Affairs
Score:
50.004
Magnitude:
95
Code:
19
Url:
https://fsc.al/cap-mc#19
Source:
Comparative Agendas
Topic:
Defense
Score:
24.419
Magnitude:
95
Code:
16
Url:
https://fsc.al/cap-mc#16
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
9.4
Flesch-Kincaid Ease
62.4
Gunning-Fog Score
10.6
Coleman-Liau Index
9.2
SMOG Index
12
Automated Readability Index
8.3
Dale-Chall Readability Score
5.5
Sprache Readability Score
5
Dale-Chall Difficult Word Score
28
Sprache Difficult Word Count
26
Peter MacDonald
00:06:13-00:06:40 (27 sec)No StressLens
So that opened up the gate for United States Marine Corps, San Diego to start recruiting more and more Navajos, using the same tactics: "You want to fight? You want to join the Marines? You want to wear this beautiful blue uniform? Come join the Marines."" So we all volunteered. That's how he went in
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.09861
Harvard-IV (Relative)
0.55556
Very Positive
Harvard-IV (Absolute)
0.55556
Very Positive
Harvard-IV (Logit)
1.09861
VADER
0.722
Very Positive
Moderation
Harassment
5.6956492364
OpenAI Moderation v1 (007)
Violence
0.7335909642
OpenAI Moderation v1 (007)
Harassment > Threatening
0.6539510097
OpenAI Moderation v1 (007)
Hate
0.0505511533
OpenAI Moderation v1 (007)
Self-Harm
0.021494861
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0151051005
OpenAI Moderation v1 (007)
Violence > Graphic
0.0076021162
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0028327988
OpenAI Moderation v1 (007)
Sexual
0.0016283919
OpenAI Moderation v1 (007)
Hate > Threatening
0.0007881465
OpenAI Moderation v1 (007)
Sexual > Minors
0.0007352147
OpenAI Moderation v1 (007)
Topics
Topic:
Defense
Score:
94.367
Magnitude:
55
Code:
16
Url:
https://fsc.al/cap-mc#16
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
3.9
Flesch-Kincaid Ease
83.7
Gunning-Fog Score
6.6
Coleman-Liau Index
9.3
SMOG Index
9
Automated Readability Index
3.3
Dale-Chall Readability Score
4.2
Sprache Readability Score
2.8
Dale-Chall Difficult Word Score
13
Sprache Difficult Word Count
13
Peter MacDonald
00:06:40-00:07:32 (53 sec)No StressLens
Boot camp, combat training, communication schools. Then we all get separated, go to that special top-secret Navajo code school to learn to code. Initially, 260 code words, all subject to memory only. Eventually, by the time the war ended, 1945, there were 400 of us that went to war. And also, our code words grew to 600 code words, subject to memory only. In every battle two communication networks were established: Navajo communication network for all top-secret, confidential messages; the second network, English network, for all other messages.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.60944
Harvard-IV (Relative)
-0.2
Slightly Negative
Harvard-IV (Absolute)
-0.2
Slightly Negative
Harvard-IV (Logit)
-0.37949
VADER
-0.878
Very Negative
Moderation
Violence
0.067693321
OpenAI Moderation v1 (007)
Harassment
0.0669522386
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0196647656
OpenAI Moderation v1 (007)
Hate
0.0069514019
OpenAI Moderation v1 (007)
Violence > Graphic
0.0067375826
OpenAI Moderation v1 (007)
Sexual > Minors
0.0003492924
OpenAI Moderation v1 (007)
Hate > Threatening
0.000249659
OpenAI Moderation v1 (007)
Sexual
0.0002144936
OpenAI Moderation v1 (007)
Self-Harm
7.55155E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
7.05437E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.34607E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Arts, Culture and Entertainment > Language
Score:
100
Magnitude:
0.333
Code:
1008000
Url:
https://cv.iptc.org/newscodes/subjectcode/01008000
Wikidata_id:
Q315
Wikidata_label:
language
Source:
IPTC Subject
Topic:
Unrest, Conflicts and War
Score:
70
Magnitude:
0.233
Code:
16000000
Url:
https://cv.iptc.org/newscodes/subjectcode/16000000
Wikidata_id:
Q198
Wikidata_label:
war
Source:
IPTC Subject
Topic:
Unrest, Conflicts and War > War
Score:
69
Magnitude:
0.229
Code:
16009000
Url:
https://cv.iptc.org/newscodes/subjectcode/16009000
Wikidata_id:
Q198
Wikidata_label:
war
Source:
IPTC Subject
Topic:
Education > School
Score:
61
Magnitude:
0.204
Code:
5005000
Url:
https://cv.iptc.org/newscodes/subjectcode/05005000
Wikidata_id:
Q3914
Wikidata_label:
school
Source:
IPTC Subject
Topic:
Economy, Business and Finance > Business (General) > Institution
Score:
52
Magnitude:
0.171
Code:
4018001
Url:
https://cv.iptc.org/newscodes/subjectcode/04018001
Wikidata_id:
Q159810
Wikidata_label:
economy
Source:
IPTC Subject
Topic:
Defense
Score:
22.771
Magnitude:
84
Code:
16
Url:
https://fsc.al/cap-mc#16
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
9.5
Flesch-Kincaid Ease
53.4
Gunning-Fog Score
11.8
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
8.4
Dale-Chall Readability Score
5.5
Sprache Readability Score
3.9
Dale-Chall Difficult Word Score
27
Sprache Difficult Word Count
17
Peter MacDonald
00:07:32-00:08:07 (35 sec)No StressLens
In every battle -- from the frontline, beach command post, command ship, all other ships -- Code Talkers were used. On the island of Iwo, Major Connor said, the first 48 hours of battle, over 800 messages were sent by the 5th Marine Division, only. The first 48 hours, over 800 messages. Major Connor also said: Without Navajo, Marines would never have taken the island of Iwo Jima. [Applause]
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
-0.637
Very Negative
Moderation
Violence
0.0736470625
OpenAI Moderation v1 (007)
Harassment
0.0463266828
OpenAI Moderation v1 (007)
Violence > Graphic
0.0074516356
OpenAI Moderation v1 (007)
Harassment > Threatening
0.001830602
OpenAI Moderation v1 (007)
Hate
0.0012919774
OpenAI Moderation v1 (007)
Self-Harm
0.0001287888
OpenAI Moderation v1 (007)
Hate > Threatening
0.0001038599
OpenAI Moderation v1 (007)
Sexual
7.17037E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
6.75135E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.50176E-5
OpenAI Moderation v1 (007)
Sexual > Minors
1.09397E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance > Transport > Waterway and Maritime Transport
Score:
100
Magnitude:
0.1
Code:
4015004
Url:
https://cv.iptc.org/newscodes/subjectcode/04015004
Wikidata_id:
Q155930
Wikidata_label:
water transport
Source:
IPTC Subject
Topic:
Defense
Score:
94.3
Magnitude:
64
Code:
16
Url:
https://fsc.al/cap-mc#16
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
8.4
Flesch-Kincaid Ease
64.5
Gunning-Fog Score
8.4
Coleman-Liau Index
9.7
SMOG Index
9.7
Automated Readability Index
7.2
Dale-Chall Readability Score
4.2
Sprache Readability Score
4.2
Dale-Chall Difficult Word Score
14
Sprache Difficult Word Count
19
Peter MacDonald
00:08:07-00:08:44 (37 sec)No StressLens
So thank you very much. The 13 of us, we still have one mission -- that mission is to build national Navajo Code Talker Museum. We want to preserve this unique World War II history for our children, grandchildren, your children, your grandchildren to go through that museum.
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
-0.211
Slightly Negative
Moderation
Violence
0.0177037262
OpenAI Moderation v1 (007)
Harassment > Threatening
0.009313332
OpenAI Moderation v1 (007)
Sexual
0.0086224092
OpenAI Moderation v1 (007)
Harassment
0.0050836428
OpenAI Moderation v1 (007)
Sexual > Minors
0.0048852238
OpenAI Moderation v1 (007)
Violence > Graphic
0.0033009044
OpenAI Moderation v1 (007)
Hate
0.0009887258
OpenAI Moderation v1 (007)
Self-Harm
0.0001130593
OpenAI Moderation v1 (007)
Self-Harm > Intent
5.18969E-5
OpenAI Moderation v1 (007)
Hate > Threatening
3.28416E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
7.3004E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Arts, Culture and Entertainment > Library and Museum
Score:
100
Magnitude:
0.717
Code:
1009000
Url:
https://cv.iptc.org/newscodes/subjectcode/01009000
Wikidata_id:
Q3152824
Wikidata_label:
cultural institution
Source:
IPTC Subject
Topic:
Civil Rights
Score:
54.291
Magnitude:
47
Code:
2
Url:
https://fsc.al/cap-mc#2
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
8.1
Flesch-Kincaid Ease
64.9
Gunning-Fog Score
12.2
Coleman-Liau Index
11.2
SMOG Index
12
Automated Readability Index
8
Dale-Chall Readability Score
4.5
Sprache Readability Score
3.5
Dale-Chall Difficult Word Score
11
Sprache Difficult Word Count
11
Peter MacDonald
00:08:44-00:09:24 (40 sec)No StressLens
Why? Because what we did truly represents who we are as Americans. America, we know, is composed of diverse community. We have different languages, different skills, different talents, and different religion. But when our way of life is threatened, like the freedom and liberty that we all cherish, we come together as one.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.60944
Harvard-IV (Relative)
0.07692
Neutral
Harvard-IV (Absolute)
0.07692
Neutral
Harvard-IV (Logit)
0.1431
VADER
0.939
Very Positive
Moderation
Harassment
0.0617120648
OpenAI Moderation v1 (007)
Violence
0.0568505435
OpenAI Moderation v1 (007)
Violence > Graphic
0.0141244236
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0130487795
OpenAI Moderation v1 (007)
Hate
0.0026690641
OpenAI Moderation v1 (007)
Sexual
0.0004188361
OpenAI Moderation v1 (007)
Hate > Threatening
3.40597E-5
OpenAI Moderation v1 (007)
Self-Harm
1.59321E-5
OpenAI Moderation v1 (007)
Sexual > Minors
1.42964E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
7.5934E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.3214E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Religion and Belief
Score:
100
Magnitude:
0.093
Code:
12000000
Url:
https://cv.iptc.org/newscodes/subjectcode/12000000
Wikidata_id:
Q9174
Wikidata_label:
religion
Source:
IPTC Subject
Topic:
Civil Rights
Score:
83.732
Magnitude:
53
Code:
2
Url:
https://fsc.al/cap-mc#2
Source:
Comparative Agendas
Topic:
Arts, Culture and Entertainment > Mass Media > Reviews
Score:
54
Magnitude:
0.05
Code:
1026004
Url:
https://cv.iptc.org/newscodes/subjectcode/01026004
Wikidata_id:
Q2018526
Wikidata_label:
arts
Source:
IPTC Subject
Topic:
Unrest, Conflicts and War > Civil Unrest > Religious Conflict
Score:
54
Magnitude:
0.05
Code:
16003004
Url:
https://cv.iptc.org/newscodes/subjectcode/16003004
Wikidata_id:
Q7311342
Wikidata_label:
religious controversy
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
8.4
Flesch-Kincaid Ease
54
Gunning-Fog Score
13.3
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
6.9
Dale-Chall Readability Score
3.8
Sprache Readability Score
3.3
Dale-Chall Difficult Word Score
11
Sprache Difficult Word Count
16
Peter MacDonald
00:09:24-00:09:44 (20 sec)No StressLens
And when we come together as one, we are invincible. We cannot be defeated. That's why we need this national Navajo Code Talker Museum so that our children, the future generation, can go through that museum and learn why America is so strong. Thank you very much for listening. [Applause]
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
0.42857
Positive
Harvard-IV (Absolute)
0.42857
Positive
Harvard-IV (Logit)
0.78846
VADER
0.588
Very Positive
Moderation
Harassment
0.0227621887
OpenAI Moderation v1 (007)
Violence
0.0226948774
OpenAI Moderation v1 (007)
Harassment > Threatening
0.021939454
OpenAI Moderation v1 (007)
Sexual
0.0042162694
OpenAI Moderation v1 (007)
Sexual > Minors
0.0033264565
OpenAI Moderation v1 (007)
Hate
0.0012862496
OpenAI Moderation v1 (007)
Violence > Graphic
0.0004258426
OpenAI Moderation v1 (007)
Hate > Threatening
2.70898E-5
OpenAI Moderation v1 (007)
Self-Harm
1.10182E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.8733E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.0214E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Arts, Culture and Entertainment > Library and Museum
Score:
100
Magnitude:
1
Code:
1009000
Url:
https://cv.iptc.org/newscodes/subjectcode/01009000
Wikidata_id:
Q3152824
Wikidata_label:
cultural institution
Source:
IPTC Subject
Topic:
Civil Rights
Score:
26.511
Magnitude:
49
Code:
2
Url:
https://fsc.al/cap-mc#2
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
7.2
Flesch-Kincaid Ease
64.9
Gunning-Fog Score
9.8
Coleman-Liau Index
10.7
SMOG Index
11.3
Automated Readability Index
5.9
Dale-Chall Readability Score
4.2
Sprache Readability Score
3.1
Dale-Chall Difficult Word Score
11
Sprache Difficult Word Count
12
Donald Trump
00:09:44-00:10:16 (31 sec)No Signal (0.849)
That's fantastic, thank you. That's fantastic. Thank you very much. Beautiful. That was so incredible, and now I don't have to make my speech. I had the most beautiful speech written out. I was so proud of it. Look. And I thought you would leave out Iwo Jima, but you got that in the end, too. [Laughter]
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
2.3979
Harvard-IV (Relative)
0.8
Very Positive
Harvard-IV (Absolute)
0.8
Very Positive
Harvard-IV (Logit)
1.84583
VADER
0.88
Very Positive
Moderation
Harassment
0.2976008458
OpenAI Moderation v1 (007)
Violence
0.0534404768
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0081351442
OpenAI Moderation v1 (007)
Violence > Graphic
0.0070539842
OpenAI Moderation v1 (007)
Sexual
0.0062357947
OpenAI Moderation v1 (007)
Hate
0.0046920115
OpenAI Moderation v1 (007)
Sexual > Minors
0.000663988
OpenAI Moderation v1 (007)
Self-Harm
8.74727E-5
OpenAI Moderation v1 (007)
Hate > Threatening
2.26289E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.17733E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.17355E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Civil Rights
Score:
24.468
Magnitude:
56
Code:
2
Url:
https://fsc.al/cap-mc#2
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
2
Flesch-Kincaid Ease
91.7
Gunning-Fog Score
6.1
Coleman-Liau Index
7.5
SMOG Index
7.5
Automated Readability Index
0.4
Dale-Chall Readability Score
1.7
Sprache Readability Score
1.9
Dale-Chall Difficult Word Score
5
Sprache Difficult Word Count
6
Donald Trump
00:10:16-00:10:38 (23 sec)No Signal (0.314)
And I want to tell you -- you said you're 90 years old? That's great, because you have good genes. That means the press has got me to kick around for a long time. [Laughter]
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
0.807
Very Positive
Moderation
Violence
3.667877242
OpenAI Moderation v1 (007)
Harassment > Threatening
1.6359806061
OpenAI Moderation v1 (007)
Harassment
0.2759712283
OpenAI Moderation v1 (007)
Self-Harm
0.1456804341
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0329691917
OpenAI Moderation v1 (007)
Hate
0.0199034272
OpenAI Moderation v1 (007)
Violence > Graphic
0.0173472654
OpenAI Moderation v1 (007)
Sexual
0.0098770826
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0037727361
OpenAI Moderation v1 (007)
Hate > Threatening
0.0008819055
OpenAI Moderation v1 (007)
Sexual > Minors
0.0002514794
OpenAI Moderation v1 (007)
Topics
Topic:
Health > Medical Specialization > Genetics
Score:
100
Magnitude:
0.164
Code:
7014004
Url:
https://cv.iptc.org/newscodes/subjectcode/07014004
Wikidata_id:
Q7162
Wikidata_label:
genetics
Source:
IPTC Subject
Topic:
Technology
Score:
34.015
Magnitude:
33
Code:
17
Url:
https://fsc.al/cap-mc#17
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
0.9
Flesch-Kincaid Ease
100
Gunning-Fog Score
4.4
Coleman-Liau Index
5.4
SMOG Index
3.3
Automated Readability Index
1.1
Dale-Chall Readability Score
1.5
Sprache Readability Score
2.2
Dale-Chall Difficult Word Score
2
Sprache Difficult Word Count
3
Donald Trump
00:10:38-00:11:06 (28 sec)No Signal (0.143)
That was beautiful. I loved that and I loved your delivery. And the Code Talkers are amazing. And seriously, it is what I said. So what I'm going to do is give you my speech, and I want you to hold that. And I know you like me, so you'll save it. But that was so well delivered, from the heart. That was from the heart.
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)
2.94444
VADER
0.98
Very Positive
Moderation
Harassment
0.3876742208
OpenAI Moderation v1 (007)
Violence
0.2511529252
OpenAI Moderation v1 (007)
Violence > Graphic
0.0577851257
OpenAI Moderation v1 (007)
Sexual
0.0559249951
OpenAI Moderation v1 (007)
Harassment > Threatening
0.02346572
OpenAI Moderation v1 (007)
Sexual > Minors
0.0167320875
OpenAI Moderation v1 (007)
Hate
0.0083377563
OpenAI Moderation v1 (007)
Self-Harm
0.0006014468
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.000203512
OpenAI Moderation v1 (007)
Hate > Threatening
0.0001081794
OpenAI Moderation v1 (007)
Self-Harm > Instructions
5.79144E-5
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
1.8
Flesch-Kincaid Ease
97.2
Gunning-Fog Score
6.3
Coleman-Liau Index
5.6
SMOG Index
7.8
Automated Readability Index
0
Dale-Chall Readability Score
2.3
Sprache Readability Score
2.6
Dale-Chall Difficult Word Score
8
Sprache Difficult Word Count
12
Donald Trump
00:11:06-00:11:20 (14 sec)No Signal (0.511)
So I want to give you this speech because I don't want to bore them with saying the same thing you just said. And you said it better, believe me, because you said it from here. And I mean it from there too.
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
0.567
Very Positive
Moderation
Harassment
0.0843380112
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0084209933
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0024156041
OpenAI Moderation v1 (007)
Hate
0.0020534892
OpenAI Moderation v1 (007)
Sexual
0.0020396243
OpenAI Moderation v1 (007)
Self-Harm
0.0020236885
OpenAI Moderation v1 (007)
Violence
0.0019510529
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0003968734
OpenAI Moderation v1 (007)
Violence > Graphic
0.0001804586
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001138643
OpenAI Moderation v1 (007)
Hate > Threatening
6.5608E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Politics
Score:
100
Magnitude:
0.055
Code:
11000000
Url:
https://cv.iptc.org/newscodes/subjectcode/11000000
Wikidata_id:
Q7163
Wikidata_label:
politics
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
3.2
Flesch-Kincaid Ease
97.8
Gunning-Fog Score
5.7
Coleman-Liau Index
5.8
SMOG Index
3.3
Automated Readability Index
3
Dale-Chall Readability Score
1.4
Sprache Readability Score
2.6
Dale-Chall Difficult Word Score
2
Sprache Difficult Word Count
3
Donald Trump
00:11:20-00:11:37 (17 sec)No Signal (0.718)
And you have a lot of great friends. Tom Cole is here, and you know Tom. And you know Jeff. So I want to thank you both, Jeff Denham. I want to thank you both for being here, and you too for being here.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.09861
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
2.3979
VADER
0.924
Very Positive
Moderation
Violence > Graphic
0.0302210916
OpenAI Moderation v1 (007)
Violence
0.0277375948
OpenAI Moderation v1 (007)
Sexual
0.0085202082
OpenAI Moderation v1 (007)
Harassment
0.0067530331
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0014754874
OpenAI Moderation v1 (007)
Self-Harm
0.0001872954
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001726097
OpenAI Moderation v1 (007)
Hate
0.0001333546
OpenAI Moderation v1 (007)
Hate > Threatening
6.15747E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.42077E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
9.5088E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
0.4
Flesch-Kincaid Ease
100
Gunning-Fog Score
3.5
Coleman-Liau Index
4.4
SMOG Index
3.3
Automated Readability Index
0
Dale-Chall Readability Score
2.6
Sprache Readability Score
2.1
Dale-Chall Difficult Word Score
6
Sprache Difficult Word Count
5
Donald Trump
00:11:37-00:12:00 (23 sec)No Signal (0.573)
Also, General Dunford, head of the Joint Chiefs of Staff, and General Kelly. And I have to say, I said to General Kelly -- I said, General, how good -- here he is right there, the Chief; he's the General and the Chief.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
2.56495
VADER
0.44
Positive
Moderation
Violence
0.0148743857
OpenAI Moderation v1 (007)
Harassment
0.0135049282
OpenAI Moderation v1 (007)
Hate
0.0055052667
OpenAI Moderation v1 (007)
Sexual
0.0036921298
OpenAI Moderation v1 (007)
Violence > Graphic
0.0022321199
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0012301915
OpenAI Moderation v1 (007)
Sexual > Minors
0.0002738682
OpenAI Moderation v1 (007)
Self-Harm
0.0002233761
OpenAI Moderation v1 (007)
Hate > Threatening
0.00011735
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.11206E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
8.5575E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Defense > Armed Forces
Score:
100
Magnitude:
0.107
Code:
11001004
Url:
https://cv.iptc.org/newscodes/subjectcode/11001004
Wikidata_id:
Q772547
Wikidata_label:
armed forces
Source:
IPTC Subject
Topic:
Labor > Employer
Score:
64
Magnitude:
0.069
Code:
9015000
Url:
https://cv.iptc.org/newscodes/subjectcode/09015000
Wikidata_id:
Q3053337
Wikidata_label:
employer
Source:
IPTC Subject
Topic:
Crime, Law and Justice > Justice and Rights
Score:
62
Magnitude:
0.066
Code:
2007000
Url:
https://cv.iptc.org/newscodes/subjectcode/02007000
Wikidata_id:
Q5167661
Wikidata_label:
justice
Source:
IPTC Subject
Topic:
Labor > Employee
Score:
55
Magnitude:
0.059
Code:
9016000
Url:
https://cv.iptc.org/newscodes/subjectcode/09016000
Wikidata_id:
Q703534
Wikidata_label:
employee
Source:
IPTC Subject
Topic:
Politics
Score:
51
Magnitude:
0.055
Code:
11000000
Url:
https://cv.iptc.org/newscodes/subjectcode/11000000
Wikidata_id:
Q7163
Wikidata_label:
politics
Source:
IPTC Subject
Topic:
Defense
Score:
23.93
Magnitude:
43
Code:
16
Url:
https://fsc.al/cap-mc#16
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
8.2
Flesch-Kincaid Ease
72.5
Gunning-Fog Score
8.2
Coleman-Liau Index
7.3
SMOG Index
12
Automated Readability Index
7.3
Dale-Chall Readability Score
2.9
Sprache Readability Score
3.5
Dale-Chall Difficult Word Score
5
Sprache Difficult Word Count
5
Donald Trump
00:12:00-00:12:17 (17 sec)Weak (1.442)
I said, how good were these Code Talkers? What was it? He said, sir, you have no idea. You have no idea how great they were -- what they've done for this country, and the strength and the bravery and the love that they had for the country and that you have for the country.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.60944
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.60944
VADER
0.939
Very Positive
Moderation
Harassment
3.3445879817
OpenAI Moderation v1 (007)
Violence
0.0888414623
OpenAI Moderation v1 (007)
Sexual > Minors
0.0235905842
OpenAI Moderation v1 (007)
Sexual
0.0185473866
OpenAI Moderation v1 (007)
Hate
0.0170417508
OpenAI Moderation v1 (007)
Violence > Graphic
0.016464795
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0075527496
OpenAI Moderation v1 (007)
Hate > Threatening
9.38356E-5
OpenAI Moderation v1 (007)
Self-Harm
4.3432E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.7155E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
9.4958E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Civil Rights
Score:
43.016
Magnitude:
55
Code:
2
Url:
https://fsc.al/cap-mc#2
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
3.7
Flesch-Kincaid Ease
92.9
Gunning-Fog Score
7.6
Coleman-Liau Index
6.9
SMOG Index
8.2
Automated Readability Index
3.5
Dale-Chall Readability Score
1.5
Sprache Readability Score
2.8
Dale-Chall Difficult Word Score
3
Sprache Difficult Word Count
6
Donald Trump
00:12:17-00:12:39 (22 sec)Weak (1.144)
So that was the ultimate statement from General Kelly, the importance. And I just want to thank you because you're very, very special people. You were here long before any of us were here, although we have a representative in Congress who, they say, was here a long time ago. They call her "Pocahontas."""
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
0.82
Very Positive
Moderation
Harassment
0.7271739654
OpenAI Moderation v1 (007)
Sexual
0.0151400411
OpenAI Moderation v1 (007)
Violence > Graphic
0.0138190153
OpenAI Moderation v1 (007)
Hate
0.0090005407
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0079916812
OpenAI Moderation v1 (007)
Violence
0.0052155439
OpenAI Moderation v1 (007)
Sexual > Minors
0.0024659235
OpenAI Moderation v1 (007)
Hate > Threatening
0.0003639653
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0001688159
OpenAI Moderation v1 (007)
Self-Harm
9.6801E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.57471E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Election
Score:
100
Magnitude:
0.051
Code:
11003000
Url:
https://cv.iptc.org/newscodes/subjectcode/11003000
Wikidata_id:
Q40231
Wikidata_label:
public election
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
6.9
Flesch-Kincaid Ease
69.4
Gunning-Fog Score
7.6
Coleman-Liau Index
10.1
SMOG Index
9.7
Automated Readability Index
6.1
Dale-Chall Readability Score
3.6
Sprache Readability Score
3.1
Dale-Chall Difficult Word Score
10
Sprache Difficult Word Count
10
Donald Trump
00:12:39-00:13:06 (27 sec)Weak (1.29)
But you know what, I like you because you are special. You are special people. You are really incredible people. And from the heart, from the absolute heart, we appreciate what you've done, how you've done it, the bravery that you displayed, and the love that you have for your country. Tom, I would say that's as good as it gets, wouldn't you say? That's as good as you get.
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)
0.61904
VADER
0.985
Very Positive
Moderation
Harassment
1.0110758245
OpenAI Moderation v1 (007)
Violence
0.0872330973
OpenAI Moderation v1 (007)
Sexual
0.0243544026
OpenAI Moderation v1 (007)
Violence > Graphic
0.0084128384
OpenAI Moderation v1 (007)
Hate
0.0044398999
OpenAI Moderation v1 (007)
Sexual > Minors
0.0018337822
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0018059998
OpenAI Moderation v1 (007)
Self-Harm
0.0009035813
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.000641413
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0003086155
OpenAI Moderation v1 (007)
Hate > Threatening
2.42357E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Civil Rights
Score:
32.101
Magnitude:
70
Code:
2
Url:
https://fsc.al/cap-mc#2
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
4.1
Flesch-Kincaid Ease
86.2
Gunning-Fog Score
7.5
Coleman-Liau Index
8.3
SMOG Index
8.5
Automated Readability Index
3.7
Dale-Chall Readability Score
2.8
Sprache Readability Score
2.9
Dale-Chall Difficult Word Score
10
Sprache Difficult Word Count
10
Donald Trump
00:13:06-00:13:26 (20 sec)No Signal (0.998)
General Kelly, just come up for one second. I want to just have you say what you told me, a little bit about the Code Talkers. Because it really has been -- learning about you and learning about what you've done has been something that I'd like General Kelly to say to the press. Go ahead, General.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
0.55556
Very Positive
Harvard-IV (Absolute)
0.55556
Very Positive
Harvard-IV (Logit)
1.09861
VADER
0.422
Positive
Moderation
Violence
0.0325318251
OpenAI Moderation v1 (007)
Harassment
0.0322265638
OpenAI Moderation v1 (007)
Hate
0.0156754395
OpenAI Moderation v1 (007)
Sexual
0.0073170297
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0062794636
OpenAI Moderation v1 (007)
Violence > Graphic
0.0050524748
OpenAI Moderation v1 (007)
Hate > Threatening
0.0024735051
OpenAI Moderation v1 (007)
Sexual > Minors
0.0017504744
OpenAI Moderation v1 (007)
Self-Harm
0.0007162875
OpenAI Moderation v1 (007)
Self-Harm > Intent
4.83621E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
5.1432E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
6.3
Flesch-Kincaid Ease
74.8
Gunning-Fog Score
7
Coleman-Liau Index
8.5
SMOG Index
9.7
Automated Readability Index
5
Dale-Chall Readability Score
3
Sprache Readability Score
3.2
Dale-Chall Difficult Word Score
8
Sprache Difficult Word Count
10
John Kelly
00:13:26-00:13:40 (13 sec)No StressLens
Well, sir, as you know, being associated with United States Marines, it's as much a cult as it is a service. And we never forget. Our motto, of course, is Semper Fidelis -- always faithful.
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
0.794
Very Positive
Moderation
Harassment
1.0098682716
OpenAI Moderation v1 (007)
Violence
0.0519219495
OpenAI Moderation v1 (007)
Hate
0.0263827009
OpenAI Moderation v1 (007)
Violence > Graphic
0.01176695
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0104576189
OpenAI Moderation v1 (007)
Sexual
0.0017699465
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.000933108
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0006766314
OpenAI Moderation v1 (007)
Self-Harm
0.0005201808
OpenAI Moderation v1 (007)
Hate > Threatening
0.000233233
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001257845
OpenAI Moderation v1 (007)
Topics
Topic:
Defense
Score:
88.991
Magnitude:
35
Code:
16
Url:
https://fsc.al/cap-mc#16
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
6.5
Flesch-Kincaid Ease
68.4
Gunning-Fog Score
5.7
Coleman-Liau Index
8.9
SMOG Index
9
Automated Readability Index
4
Dale-Chall Readability Score
4.3
Sprache Readability Score
3
Dale-Chall Difficult Word Score
8
Sprache Difficult Word Count
12
John Kelly
00:13:40-00:14:01 (21 sec)No StressLens
Whether you're a young recruit at Parris Island or San Diego, or a middle-aged guy from out west, what these men did, the advantage they gave our Marines when they invaded Iwo Jima was really -- and I think it was pointed out -- was one of the very few factors that allowed us to be successful on that island.
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
0.7
Very Positive
Moderation
Harassment
0.8415826596
OpenAI Moderation v1 (007)
Violence
0.1944369986
OpenAI Moderation v1 (007)
Hate
0.0106823776
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0049103244
OpenAI Moderation v1 (007)
Violence > Graphic
0.0028651948
OpenAI Moderation v1 (007)
Sexual
0.0007269161
OpenAI Moderation v1 (007)
Hate > Threatening
0.0002165004
OpenAI Moderation v1 (007)
Self-Harm
2.75942E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.31091E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.91891E-5
OpenAI Moderation v1 (007)
Sexual > Minors
1.02455E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Social Issue > People > Adults
Score:
100
Magnitude:
0.067
Code:
14024004
Url:
https://cv.iptc.org/newscodes/subjectcode/14024004
Wikidata_id:
Q9584157
Wikidata_label:
adult human
Source:
IPTC Subject
Topic:
Defense
Score:
95.897
Magnitude:
60
Code:
16
Url:
https://fsc.al/cap-mc#16
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
29.4
Gunning-Fog Score
19
Coleman-Liau Index
8.2
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
6.9
Sprache Readability Score
5
Dale-Chall Difficult Word Score
15
Sprache Difficult Word Count
20
John Kelly
00:14:01-00:14:27 (26 sec)No StressLens
Their ability to outwit the Japanese who were, you know, listening to this wonderful language and had no idea that a language like this existed on the Earth. What they did, very small number of men, sir, made the difference. We lost 6,000 Marines and 25,000 wounded on that island in 28 days of battle. It would have been a lot worse had we not had the Navajo Code Talkers. And I thank you.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.60944
Harvard-IV (Relative)
0.2
Leans Positive
Harvard-IV (Absolute)
0.2
Leans Positive
Harvard-IV (Logit)
0.36772
VADER
-0.323
Somewhat Negative
Moderation
Harassment
3.0072692782
OpenAI Moderation v1 (007)
Violence
0.7747859694
OpenAI Moderation v1 (007)
Harassment > Threatening
0.058590644
OpenAI Moderation v1 (007)
Hate
0.0391751906
OpenAI Moderation v1 (007)
Violence > Graphic
0.0262096582
OpenAI Moderation v1 (007)
Sexual
0.0067435736
OpenAI Moderation v1 (007)
Sexual > Minors
0.0012115204
OpenAI Moderation v1 (007)
Self-Harm
0.0002860129
OpenAI Moderation v1 (007)
Hate > Threatening
0.0002320607
OpenAI Moderation v1 (007)
Self-Harm > Intent
8.99036E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.70098E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Arts, Culture and Entertainment > Language
Score:
100
Magnitude:
0.093
Code:
1008000
Url:
https://cv.iptc.org/newscodes/subjectcode/01008000
Wikidata_id:
Q315
Wikidata_label:
language
Source:
IPTC Subject
Topic:
International Affairs
Score:
86.922
Magnitude:
71
Code:
19
Url:
https://fsc.al/cap-mc#19
Source:
Comparative Agendas
Topic:
Disaster and Accident
Score:
86
Magnitude:
0.08
Code:
3000000
Url:
https://cv.iptc.org/newscodes/subjectcode/03000000
Wikidata_id:
Q12890393
Wikidata_label:
incident
Source:
IPTC Subject
Topic:
Social Issue
Score:
61
Magnitude:
0.056
Code:
14000000
Url:
https://cv.iptc.org/newscodes/subjectcode/14000000
Wikidata_id:
Q8425
Wikidata_label:
society
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
5.6
Flesch-Kincaid Ease
82.3
Gunning-Fog Score
9.2
Coleman-Liau Index
7
SMOG Index
10.5
Automated Readability Index
4.4
Dale-Chall Readability Score
2.6
Sprache Readability Score
3.9
Dale-Chall Difficult Word Score
9
Sprache Difficult Word Count
17
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
0
Neutral
Moderation
Harassment
0.9098931216
OpenAI Moderation v1 (007)
Violence
0.2369484864
OpenAI Moderation v1 (007)
Harassment > Threatening
0.1625597011
OpenAI Moderation v1 (007)
Hate
0.1441352535
OpenAI Moderation v1 (007)
Violence > Graphic
0.0388433662
OpenAI Moderation v1 (007)
Hate > Threatening
0.0046583598
OpenAI Moderation v1 (007)
Sexual
0.0007083039
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0004183375
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0003575913
OpenAI Moderation v1 (007)
Self-Harm
5.53893E-5
OpenAI Moderation v1 (007)
Sexual > Minors
5.15658E-5
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
0
Gunning-Fog Score
0.8
Coleman-Liau Index
12
SMOG Index
9
Automated Readability Index
10.2
Dale-Chall Readability Score
10
Sprache Readability Score
1.1
Dale-Chall Difficult Word Score
2
Sprache Difficult Word Count
2
Donald Trump
00:14:33-00:14:48 (14 sec)No Signal (0.642)
So they're working on building a Navajo Code Talkers Museum. And we will help you. Okay? And we have some pretty good strength. We will help you, and you deserve it. And I want to thank you all for being here.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.09861
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
2.3979
VADER
0.955
Very Positive
Moderation
Harassment > Threatening
0.0348095316
OpenAI Moderation v1 (007)
Harassment
0.0341434643
OpenAI Moderation v1 (007)
Violence
0.0139904878
OpenAI Moderation v1 (007)
Sexual
0.0056969704
OpenAI Moderation v1 (007)
Hate
0.0032265143
OpenAI Moderation v1 (007)
Violence > Graphic
0.0029546469
OpenAI Moderation v1 (007)
Sexual > Minors
0.0007127565
OpenAI Moderation v1 (007)
Hate > Threatening
0.0002307564
OpenAI Moderation v1 (007)
Self-Harm
9.25514E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.49687E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.4579E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Arts, Culture and Entertainment > Library and Museum
Score:
100
Magnitude:
0.227
Code:
1009000
Url:
https://cv.iptc.org/newscodes/subjectcode/01009000
Wikidata_id:
Q3152824
Wikidata_label:
cultural institution
Source:
IPTC Subject
Topic:
Civil Rights
Score:
48.79
Magnitude:
41
Code:
2
Url:
https://fsc.al/cap-mc#2
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
1.8
Flesch-Kincaid Ease
94.7
Gunning-Fog Score
2.7
Coleman-Liau Index
7.3
SMOG Index
5.6
Automated Readability Index
0.5
Dale-Chall Readability Score
2.6
Sprache Readability Score
2.4
Dale-Chall Difficult Word Score
6
Sprache Difficult Word Count
11
Donald Trump
00:14:48-00:15:08 (20 sec)No Signal (0.879)
I assume you're the young one in the group? Are you the young one in the group? Thank you so much for being here. You're very special people. And without you, maybe the results would have been a lot different. I've heard that, actually, the results could have very well been different. So, on behalf of the United States, thank you all. Very much appreciate it. [Applause]
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.42857
Positive
Harvard-IV (Absolute)
0.42857
Positive
Harvard-IV (Logit)
0.78846
VADER
0.938
Very Positive
Moderation
Harassment
0.9244448505
OpenAI Moderation v1 (007)
Sexual
0.2272230107
OpenAI Moderation v1 (007)
Sexual > Minors
0.0310641888
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0147718412
OpenAI Moderation v1 (007)
Hate
0.0099722129
OpenAI Moderation v1 (007)
Violence
0.0080977981
OpenAI Moderation v1 (007)
Hate > Threatening
0.0008436498
OpenAI Moderation v1 (007)
Violence > Graphic
0.0002579016
OpenAI Moderation v1 (007)
Self-Harm > Instructions
5.531E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.19047E-5
OpenAI Moderation v1 (007)
Self-Harm
1.19447E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Social Issue > People > Teen-Agers
Score:
100
Magnitude:
0.056
Code:
14024003
Url:
https://cv.iptc.org/newscodes/subjectcode/14024003
Wikidata_id:
Q1492760
Wikidata_label:
teenager
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
3.7
Flesch-Kincaid Ease
83.1
Gunning-Fog Score
5.7
Coleman-Liau Index
9.2
SMOG Index
7.8
Automated Readability Index
2.7
Dale-Chall Readability Score
2.6
Sprache Readability Score
2.5
Dale-Chall Difficult Word Score
9
Sprache Difficult Word Count
10
Peter MacDonald
00:15:08-00:15:35 (27 sec)No StressLens
Mr. President, we know you'll succeed. America is in good hands. You have all top Marine Corps generals as your assistants -- [Laughter] -- so we know that we're in good hands. [Applause]
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.09861
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
2.3979
VADER
0.869
Very Positive
Moderation
Harassment
0.0953451847
OpenAI Moderation v1 (007)
Violence
0.0433333975
OpenAI Moderation v1 (007)
Hate
0.0062281644
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0052335748
OpenAI Moderation v1 (007)
Sexual
0.0032254626
OpenAI Moderation v1 (007)
Violence > Graphic
0.000433689
OpenAI Moderation v1 (007)
Hate > Threatening
0.0003323263
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0003094195
OpenAI Moderation v1 (007)
Self-Harm
0.0003079123
OpenAI Moderation v1 (007)
Sexual > Minors
9.22514E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
8.24304E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Defense > Armed Forces
Score:
100
Magnitude:
0.062
Code:
11001004
Url:
https://cv.iptc.org/newscodes/subjectcode/11001004
Wikidata_id:
Q772547
Wikidata_label:
armed forces
Source:
IPTC Subject
Topic:
Politics
Score:
85
Magnitude:
0.053
Code:
11000000
Url:
https://cv.iptc.org/newscodes/subjectcode/11000000
Wikidata_id:
Q7163
Wikidata_label:
politics
Source:
IPTC Subject
Topic:
Defense
Score:
38.717
Magnitude:
31
Code:
16
Url:
https://fsc.al/cap-mc#16
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
3.1
Flesch-Kincaid Ease
85.7
Gunning-Fog Score
7
Coleman-Liau Index
9.3
SMOG Index
8.2
Automated Readability Index
2.3
Dale-Chall Readability Score
4.2
Sprache Readability Score
2.4
Dale-Chall Difficult Word Score
7
Sprache Difficult Word Count
10
Donald Trump
00:15:35-00:15:39 (4 sec)No Signal (0.347)
What a group. This is a great group. Thank you all very much. Thank you.
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
0.855
Very Positive
Moderation
Sexual
0.1048334409
OpenAI Moderation v1 (007)
Harassment
0.0151393193
OpenAI Moderation v1 (007)
Violence
0.0039969469
OpenAI Moderation v1 (007)
Violence > Graphic
0.0021701393
OpenAI Moderation v1 (007)
Self-Harm
0.0011766867
OpenAI Moderation v1 (007)
Sexual > Minors
0.0010993066
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0008286534
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0005790262
OpenAI Moderation v1 (007)
Hate
0.0004792205
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.000208958
OpenAI Moderation v1 (007)
Hate > Threatening
1.33396E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance > Financial and Business Service > Personal Finance
Score:
100
Magnitude:
0.067
Code:
4006018
Url:
https://cv.iptc.org/newscodes/subjectcode/04006018
Wikidata_id:
Q253613
Wikidata_label:
personal finance
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
0
Flesch-Kincaid Ease
100
Gunning-Fog Score
1.5
Coleman-Liau Index
5.3
SMOG Index
3.3
Automated Readability Index
0
Dale-Chall Readability Score
0.2
Sprache Readability Score
1.1
Dale-Chall Difficult Word Score
0
Sprache Difficult Word Count
0
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
-1
Very Negative
Harvard-IV (Absolute)
-1
Very Negative
Harvard-IV (Logit)
-1.09861
VADER
0
Neutral
Moderation
Harassment
0.0098974007
OpenAI Moderation v1 (007)
Violence
0.0082201426
OpenAI Moderation v1 (007)
Hate
0.0069543392
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0035606539
OpenAI Moderation v1 (007)
Violence > Graphic
0.0025420715
OpenAI Moderation v1 (007)
Sexual
0.0015612652
OpenAI Moderation v1 (007)
Hate > Threatening
0.0002139024
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001351878
OpenAI Moderation v1 (007)
Self-Harm
3.3509E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
3.344E-7
OpenAI Moderation v1 (007)
Self-Harm > Instructions
8.35E-8
OpenAI Moderation v1 (007)
Topics
Topic:
Macroeconomics
Score:
88.752
Magnitude:
5
Code:
1
Url:
https://fsc.al/cap-mc#1
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
0.5
Flesch-Kincaid Ease
100
Gunning-Fog Score
2
Coleman-Liau Index
6.5
SMOG Index
3.3
Automated Readability Index
0
Dale-Chall Readability Score
0.2
Sprache Readability Score
1.4
Dale-Chall Difficult Word Score
0
Sprache Difficult Word Count
2
Donald Trump
00:15:41-00:15:57 (16 sec)No Signal (0.131)
I think the tax bill is going very well. We had a meeting on it today. It's going to be a tremendous tax cut -- the biggest in the history of our country. You'll have to pay a lot less tax. That's okay. But we're going to have a tremendous -- I think we're going to have great receptivity.
Sentiment
Loughran McDonald (Relative)
0.6
Very Positive
Loughran McDonald (Absolute)
0.6
Very Positive
Loughran McDonald (Logit)
1.09861
Harvard-IV (Relative)
0.2
Leans Positive
Harvard-IV (Absolute)
0.2
Leans Positive
Harvard-IV (Logit)
0.36772
VADER
0.648
Very Positive
Moderation
Harassment
0.0042834508
OpenAI Moderation v1 (007)
Violence
0.0036626894
OpenAI Moderation v1 (007)
Sexual
0.0004443112
OpenAI Moderation v1 (007)
Hate
0.0004047222
OpenAI Moderation v1 (007)
Violence > Graphic
0.0002280624
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0001178393
OpenAI Moderation v1 (007)
Sexual > Minors
1.787E-5
OpenAI Moderation v1 (007)
Hate > Threatening
8.969E-7
OpenAI Moderation v1 (007)
Self-Harm
7.195E-7
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.82E-8
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.0E-10
OpenAI Moderation v1 (007)
Topics
Topic:
Macroeconomics
Score:
93.604
Magnitude:
59
Code:
1
Url:
https://fsc.al/cap-mc#1
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
3.2
Flesch-Kincaid Ease
88.8
Gunning-Fog Score
6.6
Coleman-Liau Index
6.5
SMOG Index
7.9
Automated Readability Index
1.2
Dale-Chall Readability Score
2.1
Sprache Readability Score
2.8
Dale-Chall Difficult Word Score
6
Sprache Difficult Word Count
12
Donald Trump
00:15:57-00:16:19 (22 sec)No Signal (0.253)
We've had great spirit. And I will tell you the Republican senators were up. If we win, we'll get some Democratic senators joining us. If we don't win, they won't be joining us -- you understand that. But, if we win, I think we'll probably have a bipartisan bill, meaning a number of people are going to come over. But I'm not so interested in that. We're really interested just in getting it passed.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
2.19722
Harvard-IV (Relative)
0.55556
Very Positive
Harvard-IV (Absolute)
0.55556
Very Positive
Harvard-IV (Logit)
1.09861
VADER
0.942
Very Positive
Moderation
Violence
0.0105072271
OpenAI Moderation v1 (007)
Harassment
0.0038995469
OpenAI Moderation v1 (007)
Violence > Graphic
0.0026790018
OpenAI Moderation v1 (007)
Hate
0.0012662154
OpenAI Moderation v1 (007)
Sexual
0.0012124022
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0005737187
OpenAI Moderation v1 (007)
Sexual > Minors
6.35311E-5
OpenAI Moderation v1 (007)
Self-Harm
2.48405E-5
OpenAI Moderation v1 (007)
Hate > Threatening
2.44705E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
4.9441E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.496E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Parliament
Score:
100
Magnitude:
0.308
Code:
11009000
Url:
https://cv.iptc.org/newscodes/subjectcode/11009000
Wikidata_id:
Q35749
Wikidata_label:
parliament
Source:
IPTC Subject
Topic:
Government Operations
Score:
25.901
Magnitude:
74
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
5.6
Flesch-Kincaid Ease
73.4
Gunning-Fog Score
8.6
Coleman-Liau Index
8.9
SMOG Index
10.1
Automated Readability Index
3.5
Dale-Chall Readability Score
3.3
Sprache Readability Score
3.4
Dale-Chall Difficult Word Score
13
Sprache Difficult Word Count
18
Donald Trump
00:16:19-00:16:28 (9 sec)No Signal (0.183)
Again, it will be the biggest tax reduction in the history of our country. It will bring jobs, it will bring a lot of income coming into the country, buying product, et cetera. And, I think it's doing very well.
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
0.332
Somewhat Positive
Moderation
Violence
0.0104473525
OpenAI Moderation v1 (007)
Harassment
0.0060025148
OpenAI Moderation v1 (007)
Violence > Graphic
0.0034638349
OpenAI Moderation v1 (007)
Hate
0.001512009
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0014994889
OpenAI Moderation v1 (007)
Sexual
0.0011693315
OpenAI Moderation v1 (007)
Hate > Threatening
4.06954E-5
OpenAI Moderation v1 (007)
Sexual > Minors
2.06043E-5
OpenAI Moderation v1 (007)
Self-Harm
1.6548E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
3.9951E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.941E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance
Score:
100
Magnitude:
0.072
Code:
4000000
Url:
https://cv.iptc.org/newscodes/subjectcode/04000000
Wikidata_id:
Q159810
Wikidata_label:
economy
Source:
IPTC Subject
Topic:
Macroeconomics
Score:
92.536
Magnitude:
40
Code:
1
Url:
https://fsc.al/cap-mc#1
Source:
Comparative Agendas
Topic:
Arts, Culture and Entertainment > Culture (General)
Score:
83
Magnitude:
0.059
Code:
1022000
Url:
https://cv.iptc.org/newscodes/subjectcode/01022000
Wikidata_id:
Q11042
Wikidata_label:
culture
Source:
IPTC Subject
Topic:
Social Issue
Score:
78
Magnitude:
0.056
Code:
14000000
Url:
https://cv.iptc.org/newscodes/subjectcode/14000000
Wikidata_id:
Q8425
Wikidata_label:
society
Source:
IPTC Subject
Topic:
Politics
Score:
71
Magnitude:
0.051
Code:
11000000
Url:
https://cv.iptc.org/newscodes/subjectcode/11000000
Wikidata_id:
Q7163
Wikidata_label:
politics
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
6.1
Flesch-Kincaid Ease
74.9
Gunning-Fog Score
8.3
Coleman-Liau Index
8.2
SMOG Index
9
Automated Readability Index
4.4
Dale-Chall Readability Score
3.4
Sprache Readability Score
3.2
Dale-Chall Difficult Word Score
7
Sprache Difficult Word Count
11
Question
00:16:28-00:16:31 (3 sec)No StressLens
Is there a worry, though, that it benefits hedge fund owners during [Inaudible] --
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
-0.077
Neutral
Moderation
Harassment
0.1050784136
OpenAI Moderation v1 (007)
Hate
0.0826341507
OpenAI Moderation v1 (007)
Sexual
0.0284032547
OpenAI Moderation v1 (007)
Violence
0.015343944
OpenAI Moderation v1 (007)
Hate > Threatening
0.009708124
OpenAI Moderation v1 (007)
Violence > Graphic
0.0065425324
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0009868774
OpenAI Moderation v1 (007)
Self-Harm
0.0009412383
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0005445009
OpenAI Moderation v1 (007)
Sexual > Minors
0.0003521568
OpenAI Moderation v1 (007)
Harassment > Threatening
0.000331913
OpenAI Moderation v1 (007)
Topics
Topic:
Domestic Commerce
Score:
87.227
Magnitude:
13
Code:
15
Url:
https://fsc.al/cap-mc#15
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
5.8
Flesch-Kincaid Ease
74.8
Gunning-Fog Score
8.1
Coleman-Liau Index
10.7
SMOG Index
9
Automated Readability Index
5.8
Dale-Chall Readability Score
4.5
Sprache Readability Score
2.4
Dale-Chall Difficult Word Score
3
Sprache Difficult Word Count
4
Donald Trump
00:16:31-00:16:46 (14 sec)No Signal (0.02)
No, I think we're going to have really -- I think -- actually, I think it's going to benefit everybody. It's going to mostly benefit people looking for jobs more than anything else, because we're giving great incentives.
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)
2.3979
VADER
0.912
Very Positive
Moderation
Violence
0.0031011554
OpenAI Moderation v1 (007)
Harassment
0.0022576189
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0020087946
OpenAI Moderation v1 (007)
Violence > Graphic
0.0019709152
OpenAI Moderation v1 (007)
Sexual
0.0009800159
OpenAI Moderation v1 (007)
Hate
0.000324767
OpenAI Moderation v1 (007)
Self-Harm
0.0002040536
OpenAI Moderation v1 (007)
Self-Harm > Intent
7.71587E-5
OpenAI Moderation v1 (007)
Sexual > Minors
3.51777E-5
OpenAI Moderation v1 (007)
Hate > Threatening
3.23208E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.4557E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance
Score:
100
Magnitude:
0.124
Code:
4000000
Url:
https://cv.iptc.org/newscodes/subjectcode/04000000
Wikidata_id:
Q159810
Wikidata_label:
economy
Source:
IPTC Subject
Topic:
Labor
Score:
95.488
Magnitude:
38
Code:
5
Url:
https://fsc.al/cap-mc#5
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
10.8
Flesch-Kincaid Ease
49.9
Gunning-Fog Score
15
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
9.8
Dale-Chall Readability Score
3.1
Sprache Readability Score
3.7
Dale-Chall Difficult Word Score
5
Sprache Difficult Word Count
11
Donald Trump
00:16:46-00:17:08 (23 sec)No Signal (0.359)
And we're going to be bringing back into this country probably an excess of $4 trillion -- $4 trillion -- that's outside of the country that right now, because of our tax laws, can't come back in. And we will be bringing back at least -- I think the number will be substantially higher -- but at least $4 trillion, which will immediately be put to work in this country.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
0.039
Neutral
Moderation
Harassment
0.0387319742
OpenAI Moderation v1 (007)
Violence
0.0169076549
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0144275284
OpenAI Moderation v1 (007)
Hate
0.0033315708
OpenAI Moderation v1 (007)
Violence > Graphic
0.0020730949
OpenAI Moderation v1 (007)
Sexual
0.0008100694
OpenAI Moderation v1 (007)
Hate > Threatening
5.15428E-5
OpenAI Moderation v1 (007)
Sexual > Minors
9.1561E-6
OpenAI Moderation v1 (007)
Self-Harm
1.682E-7
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.6E-8
OpenAI Moderation v1 (007)
Self-Harm > Instructions
6.0E-10
OpenAI Moderation v1 (007)
Topics
Topic:
Crime, Law and Justice > Justice and Rights
Score:
100
Magnitude:
0.112
Code:
2007000
Url:
https://cv.iptc.org/newscodes/subjectcode/02007000
Wikidata_id:
Q5167661
Wikidata_label:
justice
Source:
IPTC Subject
Topic:
Labor > Employment
Score:
51
Magnitude:
0.057
Code:
9003000
Url:
https://cv.iptc.org/newscodes/subjectcode/09003000
Wikidata_id:
Q656365
Wikidata_label:
employment
Source:
IPTC Subject
Topic:
Macroeconomics
Score:
38.188
Magnitude:
67
Code:
1
Url:
https://fsc.al/cap-mc#1
Source:
Comparative Agendas
Topic:
Domestic Commerce
Score:
31.147
Magnitude:
67
Code:
15
Url:
https://fsc.al/cap-mc#15
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
59.3
Gunning-Fog Score
16.8
Coleman-Liau Index
9
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
4
Sprache Readability Score
5
Dale-Chall Difficult Word Score
10
Sprache Difficult Word Count
10
Donald Trump
00:17:08-00:17:14 (5 sec)No Signal (0.797)
So I think the tax bill is doing very well and I think the Republicans are going to be very proud of it. Thank you. Thank you.
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
0.867
Very Positive
Moderation
Harassment
0.0408141757
OpenAI Moderation v1 (007)
Sexual
0.0157523056
OpenAI Moderation v1 (007)
Violence
0.0030437082
OpenAI Moderation v1 (007)
Hate
0.0013300591
OpenAI Moderation v1 (007)
Violence > Graphic
0.0004009696
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0002411312
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001681748
OpenAI Moderation v1 (007)
Self-Harm
1.43801E-5
OpenAI Moderation v1 (007)
Hate > Threatening
9.4181E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.9992E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.703E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Politics
Score:
100
Magnitude:
0.053
Code:
11000000
Url:
https://cv.iptc.org/newscodes/subjectcode/11000000
Wikidata_id:
Q7163
Wikidata_label:
politics
Source:
IPTC Subject
Topic:
Macroeconomics
Score:
92.163
Magnitude:
27
Code:
1
Url:
https://fsc.al/cap-mc#1
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
2.3
Flesch-Kincaid Ease
94.3
Gunning-Fog Score
3.6
Coleman-Liau Index
5.3
SMOG Index
6.6
Automated Readability Index
0
Dale-Chall Readability Score
1.6
Sprache Readability Score
2.2
Dale-Chall Difficult Word Score
2
Sprache Difficult Word Count
5