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Donald J. Trump
Donald Trump Vlog - Deleted: From the Desk of Donald Trump - The Worst Employee - December 1, 2011
StressLens
4 Topics
Entities
Moderation
1 Speaker
Topics
Entities
No entities found
Moderation
No moderation found
Speakers
Donald Trump Donald Trump said 10 sentences of a total of 10 sentences.
100%
Donald Trump said 123 words of a total of 123 words.
100%
Donald Trump talked 42 seconds of a total of 42 seconds.
100%
Full Transcript
Donald Trump
00:00:00-00:00:19 (19 sec)No Signal (0.689)
The other day I gave a speech in front of thousands of people having to do with success and I started talking about employees. I said you know the worst employee is a good employee, a bad employee is fine because you fire that person right away. A great employee is phenomenal.
Sentiment
Loughran McDonald (Relative)
-0.2
Slightly Negative
Loughran McDonald (Absolute)
-0.2
Slightly Negative
Loughran McDonald (Logit)
-0.33647
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
0.361
Somewhat Positive
Moderation
Harassment
0.0411107496
OpenAI Moderation v1 (007)
Violence
0.0296744809
OpenAI Moderation v1 (007)
Hate
0.0113862923
OpenAI Moderation v1 (007)
Harassment > Threatening
0.003508426
OpenAI Moderation v1 (007)
Violence > Graphic
0.0001931479
OpenAI Moderation v1 (007)
Sexual
2.50069E-5
OpenAI Moderation v1 (007)
Self-Harm
4.2156E-6
OpenAI Moderation v1 (007)
Hate > Threatening
2.8204E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
6.907E-7
OpenAI Moderation v1 (007)
Sexual > Minors
3.859E-7
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.042E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance > Company Information > Layoffs and Downsizing
Score:
100
Magnitude:
0.469
Code:
4016025
Url:
https://cv.iptc.org/newscodes/subjectcode/04016025
Wikidata_id:
Q13634065
Wikidata_label:
layoff
Source:
IPTC Subject
Topic:
Labor
Score:
90.597
Magnitude:
52
Code:
5
Url:
https://fsc.al/cap-mc#5
Source:
Comparative Agendas
Topic:
Labor > Employment
Score:
89
Magnitude:
0.417
Code:
9003000
Url:
https://cv.iptc.org/newscodes/subjectcode/09003000
Wikidata_id:
Q656365
Wikidata_label:
employment
Source:
IPTC Subject
Topic:
Labor > Employee
Score:
87
Magnitude:
0.41
Code:
9016000
Url:
https://cv.iptc.org/newscodes/subjectcode/09016000
Wikidata_id:
Q703534
Wikidata_label:
employee
Source:
IPTC Subject
Topic:
Labor > Employment > Job Layoffs
Score:
75
Magnitude:
0.351
Code:
9003002
Url:
https://cv.iptc.org/newscodes/subjectcode/09003002
Wikidata_id:
Q1462531
Wikidata_label:
layoff
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
8.4
Flesch-Kincaid Ease
65.6
Gunning-Fog Score
11.5
Coleman-Liau Index
9.3
SMOG Index
11.3
Automated Readability Index
7.3
Dale-Chall Readability Score
3.6
Sprache Readability Score
3.5
Dale-Chall Difficult Word Score
9
Sprache Difficult Word Count
9
Donald Trump
00:00:19-00:00:30 (11 sec)Medium (1.51)
You want to keep them and cherish them, they're fantastic, but a good employee. You never sort of fire them, but they never lead you to the next level. They just keep their job.
Sentiment
Loughran McDonald (Relative)
0.33333
Somewhat Positive
Loughran McDonald (Absolute)
0.33333
Somewhat Positive
Loughran McDonald (Logit)
0.51083
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
0.672
Very Positive
Moderation
Harassment
0.0869563723
OpenAI Moderation v1 (007)
Hate
0.0104045524
OpenAI Moderation v1 (007)
Violence
0.0026052885
OpenAI Moderation v1 (007)
Sexual
0.0019161069
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0004661571
OpenAI Moderation v1 (007)
Violence > Graphic
0.0002734994
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001569737
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.9372E-5
OpenAI Moderation v1 (007)
Self-Harm
1.72143E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.44623E-5
OpenAI Moderation v1 (007)
Hate > Threatening
2.7979E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance > Company Information > Layoffs and Downsizing
Score:
100
Magnitude:
0.165
Code:
4016025
Url:
https://cv.iptc.org/newscodes/subjectcode/04016025
Wikidata_id:
Q13634065
Wikidata_label:
layoff
Source:
IPTC Subject
Topic:
Disaster and Accident > Fire
Score:
86
Magnitude:
0.141
Code:
3004000
Url:
https://cv.iptc.org/newscodes/subjectcode/03004000
Wikidata_id:
Q3196
Wikidata_label:
fire
Source:
IPTC Subject
Topic:
Labor > Employment
Score:
80
Magnitude:
0.133
Code:
9003000
Url:
https://cv.iptc.org/newscodes/subjectcode/09003000
Wikidata_id:
Q656365
Wikidata_label:
employment
Source:
IPTC Subject
Topic:
Labor
Score:
78.345
Magnitude:
34
Code:
5
Url:
https://fsc.al/cap-mc#5
Source:
Comparative Agendas
Topic:
Labor > Employment > Job Layoffs
Score:
68
Magnitude:
0.112
Code:
9003002
Url:
https://cv.iptc.org/newscodes/subjectcode/09003002
Wikidata_id:
Q1462531
Wikidata_label:
layoff
Source:
IPTC Subject
Topic:
Labor > Employment > Occupations
Score:
67
Magnitude:
0.111
Code:
9003004
Url:
https://cv.iptc.org/newscodes/subjectcode/09003004
Wikidata_id:
Q12737077
Wikidata_label:
occupation
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
3.4
Flesch-Kincaid Ease
90.8
Gunning-Fog Score
6.9
Coleman-Liau Index
7.9
SMOG Index
7.9
Automated Readability Index
3.2
Dale-Chall Readability Score
2
Sprache Readability Score
2.5
Dale-Chall Difficult Word Score
3
Sprache Difficult Word Count
6
Donald Trump
00:00:30-00:00:40 (10 sec)Medium (1.548)
They're sort of too good to be fired, but they're not good enough. You're never going to do great. So I always say the worst employee isn't a bad employee.
Sentiment
Loughran McDonald (Relative)
-0.5
Very Negative
Loughran McDonald (Absolute)
-0.5
Very Negative
Loughran McDonald (Logit)
-0.8473
Harvard-IV (Relative)
-0.6
Very Negative
Harvard-IV (Absolute)
-0.6
Very Negative
Harvard-IV (Logit)
-1.09861
VADER
-0.207
Slightly Negative
Moderation
Harassment
1.4785505831
OpenAI Moderation v1 (007)
Hate
0.3981248941
OpenAI Moderation v1 (007)
Violence
0.0363879604
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0041358071
OpenAI Moderation v1 (007)
Violence > Graphic
0.0007939947
OpenAI Moderation v1 (007)
Sexual
0.0004248418
OpenAI Moderation v1 (007)
Self-Harm
6.32433E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.32229E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
3.27476E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.23909E-5
OpenAI Moderation v1 (007)
Sexual > Minors
8.2052E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Labor
Score:
85.012
Magnitude:
30
Code:
5
Url:
https://fsc.al/cap-mc#5
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
2.9
Flesch-Kincaid Ease
92.3
Gunning-Fog Score
6.7
Coleman-Liau Index
7.3
SMOG Index
7.9
Automated Readability Index
2.1
Dale-Chall Readability Score
2.1
Sprache Readability Score
2.5
Dale-Chall Difficult Word Score
3
Sprache Difficult Word Count
8
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
0.44
Positive
Moderation
Sexual
0.0407330954
OpenAI Moderation v1 (007)
Violence
0.0166104175
OpenAI Moderation v1 (007)
Harassment
0.0107425134
OpenAI Moderation v1 (007)
Violence > Graphic
0.0047551552
OpenAI Moderation v1 (007)
Hate
0.0023579092
OpenAI Moderation v1 (007)
Sexual > Minors
0.0014685497
OpenAI Moderation v1 (007)
Self-Harm
0.0010176215
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0005953396
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0005138681
OpenAI Moderation v1 (007)
Self-Harm > Instructions
8.29364E-5
OpenAI Moderation v1 (007)
Hate > Threatening
7.6973E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Arts, Culture and Entertainment > Mass Media > News Media
Score:
100
Magnitude:
0.095
Code:
1026002
Url:
https://cv.iptc.org/newscodes/subjectcode/01026002
Wikidata_id:
Q1193236
Wikidata_label:
news media
Source:
IPTC Subject
Topic:
Arts, Culture and Entertainment > Mass Media > Periodicals
Score:
86
Magnitude:
0.082
Code:
1026001
Url:
https://cv.iptc.org/newscodes/subjectcode/01026001
Wikidata_id:
Q1002697
Wikidata_label:
periodical
Source:
IPTC Subject
Topic:
Social Issue
Score:
72
Magnitude:
0.068
Code:
14000000
Url:
https://cv.iptc.org/newscodes/subjectcode/14000000
Wikidata_id:
Q8425
Wikidata_label:
society
Source:
IPTC Subject
Topic:
Arts, Culture and Entertainment > Mass Media
Score:
71
Magnitude:
0.068
Code:
1026000
Url:
https://cv.iptc.org/newscodes/subjectcode/01026000
Wikidata_id:
Q11033
Wikidata_label:
mass media
Source:
IPTC Subject
Topic:
Arts, Culture and Entertainment > Mass Media > Newspapers
Score:
71
Magnitude:
0.068
Code:
1026003
Url:
https://cv.iptc.org/newscodes/subjectcode/01026003
Wikidata_id:
Q11032
Wikidata_label:
newspaper
Source:
IPTC Subject
Topic:
Human Interest
Score:
66
Magnitude:
0.063
Code:
8000000
Url:
https://cv.iptc.org/newscodes/subjectcode/08000000
Wikidata_id:
Q361306
Wikidata_label:
human interest story
Source:
IPTC Subject
Topic:
Arts, Culture and Entertainment > Culture (General)
Score:
65
Magnitude:
0.062
Code:
1022000
Url:
https://cv.iptc.org/newscodes/subjectcode/01022000
Wikidata_id:
Q11042
Wikidata_label:
culture
Source:
IPTC Subject
Topic:
Social Issue > People
Score:
64
Magnitude:
0.06
Code:
14024000
Url:
https://cv.iptc.org/newscodes/subjectcode/14024000
Wikidata_id:
Q1156970
Wikidata_label:
humanity
Source:
IPTC Subject
Topic:
Politics
Score:
58
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
2.3
Flesch-Kincaid Ease
91
Gunning-Fog Score
8.5
Coleman-Liau Index
3.5
SMOG Index
9
Automated Readability Index
0
Dale-Chall Readability Score
2.6
Sprache Readability Score
1.6
Dale-Chall Difficult Word Score
1
Sprache Difficult Word Count
1