Fact
ba
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se
Donald J. Trump
Remarks: Donald Trump Testimony to Congress - November 21, 1991
StressLens
1 Topic
Entities
Moderation
8 Speakers
Entities
No entities found
Moderation
No moderation found
Speakers
Donald Trump Donald Trump said 282 sentences of a total of 516 sentences.
55%
Donald Trump said 4584 words of a total of 8829 words.
52%
Donald Trump talked 1582 seconds of a total of 3268 seconds.
49%
Hal Thomas Hal Thomas said 63 sentences of a total of 516 sentences.
13%
Hal Thomas said 1311 words of a total of 8829 words.
15%
Hal Thomas talked 506 seconds of a total of 3268 seconds.
16%
Jim Hayes Jim Hayes said 39 sentences of a total of 516 sentences.
8%
Jim Hayes said 1059 words of a total of 8829 words.
12%
Jim Hayes talked 421 seconds of a total of 3268 seconds.
13%
Frank Guarini Frank Guarini said 63 sentences of a total of 516 sentences.
13%
Frank Guarini said 892 words of a total of 8829 words.
11%
Frank Guarini talked 354 seconds of a total of 3268 seconds.
11%
Jerry Huckaby Jerry Huckaby said 23 sentences of a total of 516 sentences.
5%
Jerry Huckaby said 341 words of a total of 8829 words.
4%
Jerry Huckaby talked 127 seconds of a total of 3268 seconds.
4%
Helen Bentley Helen Bentley said 21 sentences of a total of 516 sentences.
5%
Helen Bentley said 265 words of a total of 8829 words.
4%
Helen Bentley talked 123 seconds of a total of 3268 seconds.
4%
Hal Rogers Hal Rogers said 15 sentences of a total of 516 sentences.
3%
Hal Rogers said 209 words of a total of 8829 words.
3%
Hal Rogers talked 94 seconds of a total of 3268 seconds.
3%
John Spratt John Spratt said 10 sentences of a total of 516 sentences.
2%
John Spratt said 168 words of a total of 8829 words.
2%
John Spratt talked 60 seconds of a total of 3268 seconds.
2%
Full Transcript
Frank Guarini
00:00:00-00:00:10 (10 sec)No StressLens
I would like to call our next witness, Donald Trump, who certainly needs no introduction. Your fame and reputation precede you, Donald.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.6
Very Positive
Harvard-IV (Absolute)
0.6
Very Positive
Harvard-IV (Logit)
1.09861
VADER
0.681
Very Positive
Moderation
Harassment
0.9714419954
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0110876666
OpenAI Moderation v1 (007)
Violence
0.009724134
OpenAI Moderation v1 (007)
Hate
0.0034367946
OpenAI Moderation v1 (007)
Sexual
0.0019615451
OpenAI Moderation v1 (007)
Violence > Graphic
0.0004628087
OpenAI Moderation v1 (007)
Self-Harm
0.000302819
OpenAI Moderation v1 (007)
Sexual > Minors
4.57979E-5
OpenAI Moderation v1 (007)
Hate > Threatening
6.4269E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.9469E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
8.593E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Human Interest > People > Celebrity
Score:
100
Magnitude:
0.061
Code:
8003002
Url:
https://cv.iptc.org/newscodes/subjectcode/08003002
Wikidata_id:
Q211236
Wikidata_label:
celebrity
Source:
IPTC Subject
Topic:
Social Issue > People
Score:
93
Magnitude:
0.057
Code:
14024000
Url:
https://cv.iptc.org/newscodes/subjectcode/14024000
Wikidata_id:
Q1156970
Wikidata_label:
humanity
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
6.9
Flesch-Kincaid Ease
64.9
Gunning-Fog Score
9.9
Coleman-Liau Index
12
SMOG Index
10.3
Automated Readability Index
7.4
Dale-Chall Readability Score
6.3
Sprache Readability Score
2.6
Dale-Chall Difficult Word Score
8
Sprache Difficult Word Count
8
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.09861
VADER
0.361
Somewhat Positive
Moderation
Sexual
0.0497439352
OpenAI Moderation v1 (007)
Violence > Graphic
0.002004097
OpenAI Moderation v1 (007)
Violence
0.0019970666
OpenAI Moderation v1 (007)
Harassment
0.0017356702
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0011749923
OpenAI Moderation v1 (007)
Self-Harm
0.000585622
OpenAI Moderation v1 (007)
Sexual > Minors
0.0002996381
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0002440206
OpenAI Moderation v1 (007)
Harassment > Threatening
0.000176191
OpenAI Moderation v1 (007)
Hate
0.0001397834
OpenAI Moderation v1 (007)
Hate > Threatening
1.7837E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
0
Flesch-Kincaid Ease
100
Gunning-Fog Score
0.8
Coleman-Liau Index
7.6
SMOG Index
3.3
Automated Readability Index
0
Dale-Chall Readability Score
0.1
Sprache Readability Score
0.9
Dale-Chall Difficult Word Score
0
Sprache Difficult Word Count
0
Frank Guarini
00:00:10-00:00:49 (39 sec)No StressLens
We are very happy to have you here. We know you to be very frank and outspoken, and you have had extensive experience, not only in large real estate developments, but also in the sports, gaming, and entertainment industries. I am glad you were able to be here this morning and appreciate your waiting and being so patient as you have been. So we welcome you, especially, to listen and to learn from your experiences as we know you have been very much involved in regard to this credit crunch that we have before our Nation today. So you may proceed
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.09861
Harvard-IV (Relative)
0.875
Very Positive
Harvard-IV (Absolute)
0.875
Very Positive
Harvard-IV (Logit)
2.33537
VADER
0.959
Very Positive
Moderation
Violence
0.0051912546
OpenAI Moderation v1 (007)
Sexual
0.0044704771
OpenAI Moderation v1 (007)
Harassment
0.0044218279
OpenAI Moderation v1 (007)
Hate
0.0014661905
OpenAI Moderation v1 (007)
Harassment > Threatening
0.000816848
OpenAI Moderation v1 (007)
Self-Harm
0.0002526277
OpenAI Moderation v1 (007)
Violence > Graphic
0.0002494298
OpenAI Moderation v1 (007)
Self-Harm > Intent
8.48922E-5
OpenAI Moderation v1 (007)
Sexual > Minors
5.5585E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.23256E-5
OpenAI Moderation v1 (007)
Hate > Threatening
7.223E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance > Construction and Property
Score:
100
Magnitude:
0.323
Code:
4004000
Url:
https://cv.iptc.org/newscodes/subjectcode/04004000
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
9.6
Flesch-Kincaid Ease
62.4
Gunning-Fog Score
11.6
Coleman-Liau Index
9.7
SMOG Index
10.9
Automated Readability Index
9
Dale-Chall Readability Score
4.1
Sprache Readability Score
4.9
Dale-Chall Difficult Word Score
20
Sprache Difficult Word Count
22
Donald Trump
00:00:49-00:01:48 (59 sec)No StressLens
Thank you very much, sir. Well, first of all, I think I could say to Mr. Seidman, who I believe has done a really fantastic job while he was in government, that had the 1986 catastrophe of the Tax Reform Act not been passed, I am not sure that you would know Mr. Seidman in the capacity of RTC. You would know him in perhaps some more positive capacity, but not in the Resolution Trust. And I think in bringing that point up to Mr. Seidman before he tended to agree with me, I think? Seidman Yes.
Sentiment
Loughran McDonald (Relative)
0.33333
Somewhat Positive
Loughran McDonald (Absolute)
0.33333
Somewhat Positive
Loughran McDonald (Logit)
0.51083
Harvard-IV (Relative)
0.4
Somewhat Positive
Harvard-IV (Absolute)
0.4
Somewhat Positive
Harvard-IV (Logit)
0.76214
VADER
0.94
Very Positive
Moderation
Harassment
0.0448950857
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0221560622
OpenAI Moderation v1 (007)
Violence > Graphic
0.0206111523
OpenAI Moderation v1 (007)
Violence
0.0147958897
OpenAI Moderation v1 (007)
Sexual
0.0060851562
OpenAI Moderation v1 (007)
Hate
0.003077674
OpenAI Moderation v1 (007)
Self-Harm
0.0016317963
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001970513
OpenAI Moderation v1 (007)
Self-Harm > Intent
8.51707E-5
OpenAI Moderation v1 (007)
Hate > Threatening
5.35766E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.2195E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Government
Score:
100
Magnitude:
0.078
Code:
11006000
Url:
https://cv.iptc.org/newscodes/subjectcode/11006000
Wikidata_id:
Q7188
Wikidata_label:
government
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
4.7
Flesch-Kincaid Ease
82.9
Gunning-Fog Score
7.7
Coleman-Liau Index
7.2
SMOG Index
9
Automated Readability Index
3.1
Dale-Chall Readability Score
3.5
Sprache Readability Score
3.6
Dale-Chall Difficult Word Score
18
Sprache Difficult Word Count
18
Donald Trump
00:01:48-00:07:07 (319 sec)No StressLens
Good. So this taxability was just an absolute catastrophe for the country, for the real estate industry, and I really hope that something can be done, as Congressman Thomas recently said, that something can be done to change at least parts of it, because it has taken all incentive away from investing in real estate, and real estate really means so many jobs. I mean you have a city called New York City, you have a city called Boston, you have other cities and so many other cities. But I can tell you from very personal knowledge, New York City has virtually no construction right now. We are not only talking about office buildings, of which there are many, we are talking about housing, moderate-income housing, low-income housing, even highincome housing where you create jobs, you create so many other things. They buy carpet. They buy furniture. They buy refrigerators. They buy other things that fuel the economy. And incentive has to be put back into the construction of things that are needed, such as housing of all kinds. I heard this morning that we have had the lowest number of houses built in terms of housing since 1946 or 1947, and that is not much of a tribute to this group of folks that are representing the country, unfortunately. I feel very badly about it. Everybody feels very badly about it. The fact is that the one word that nobody up on the panel has mentioned is the word depression, and I truly feel that this count right now is in a depression. It is not a recession. People arW kidding themselves if they think it is a recession. You look at what is happening in the automobile business, in the retailing business. The retailing business in any part of the country virtually is a total disaster. But the real estate business, we are in an absolute depression. And one of the reasons we are there is what happened in 1986-in addition to what Mr. Seidman said, is what happened in 1986 with the changes. So I really came on the basis that I wanted to-I will answer questions on it, but I wanted to discuss the Tax Act of 1986. Active, assive, you are absolutely right, 100 percent right, and something as to be done. It has to be brought back. It has to be reformed. It has to be taken care of. I think for certain types of building, such as housing, depreciation schedules should be very severely limited, cut, so that people have incentive to build housing as opposed to commercial, which really again, the commercial is probably taken care of for a long while. The reason is, however, unfortunately, is the fact that the economy is so bad that there is no reason for the commercial. And I think that gets taken care of and gobbled up very quickly, if the economy improved. One of the big things that we don't have today that we used to have and that was a very good thing for real estate and that is the whole world of syndication and investment. And if you are a dentist and you are making $200,000 or $300,000 a year, and you can't invest now in real estate-the reason the stock market is artificially high, in my opinion, is that there is no other form of investment. I mean, you can't put it into real estate and you can't put it into bonds, so people are putting it into the stock market. All the companies in the stock market are doing lousy, but their stock is high. I think what we have is when the stock market goes down by, let's say, 1,000 points in two days, which perhaps it might, then we are in a full-scale depression, then everybody admits it. Then the politicians admit it. The President is going to admit it. Everybody is going to admit it. And right now the only thing that sort of keeps the word depression off their lips is the fact that we really have a 3,000 stock market, and people are surprised to see it, because the companies certainly aren't doing very well within the market itself. But the syndication of real estate was a very positive thing. And you can't syndicate, you can't have people putting up equity. That would take a lot of the strain off the banks, if people could put up equity in the form of equity money for syndication where you used to be able to go out and syndicate a piece of real estate. Today, you can't. A lot of the strain that we are talking about, liquidity crisis, a lot of the strain comes off the banks, and I think it could really open up a whole new market. And the other thing is, frankly, by having cut the high income tax rates to 25 percent, as an example, people don't have the incentive anymore to invest. They are saying, why should I take a chance on investing in low or moderate income housing? I might as well just pay the tax. But the fact is that 25 percent for high-income people-for highincome people, it should be raised substantially with the understanding that, if you invest, you can get it down and down substantially below that number. The incentive was taken away when the tax rates came down for high-income people. And I say leave the middle, leave the low, lower them. But peopl
Sentiment
Loughran McDonald (Relative)
-0.66667
Very Negative
Loughran McDonald (Absolute)
-0.66667
Very Negative
Loughran McDonald (Logit)
-1.51635
Harvard-IV (Relative)
0.16279
Leans Positive
Harvard-IV (Absolute)
0.16279
Leans Positive
Harvard-IV (Logit)
0.32466
VADER
-0.705
Very Negative
Moderation
Hate
0.5432396661
OpenAI Moderation v1 (007)
Harassment
0.1156592043
OpenAI Moderation v1 (007)
Violence > Graphic
0.0249783247
OpenAI Moderation v1 (007)
Sexual
0.0161009113
OpenAI Moderation v1 (007)
Violence
0.0134072208
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0056064277
OpenAI Moderation v1 (007)
Self-Harm
0.0027273436
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0014568826
OpenAI Moderation v1 (007)
Hate > Threatening
0.0003664478
OpenAI Moderation v1 (007)
Sexual > Minors
0.0003015472
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0001395647
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance > Construction and Property
Score:
100
Magnitude:
1
Code:
4004000
Url:
https://cv.iptc.org/newscodes/subjectcode/04004000
Source:
IPTC Subject
Topic:
Economy, Business and Finance > Market and Exchange > Securities
Score:
63
Magnitude:
0.629
Code:
4009003
Url:
https://cv.iptc.org/newscodes/subjectcode/04009003
Wikidata_id:
Q169489
Wikidata_label:
security
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
8.5
Flesch-Kincaid Ease
67.2
Gunning-Fog Score
11.4
Coleman-Liau Index
8.8
SMOG Index
11
Automated Readability Index
7.6
Dale-Chall Readability Score
3.6
Sprache Readability Score
5
Dale-Chall Difficult Word Score
155
Sprache Difficult Word Count
128
Frank Guarini
00:07:07-00:07:27 (20 sec)No StressLens
Well, let me ask you, If Congress does nothing, doesn't take any course of action whatsoever, how long do you think it would take our country to climb out of the economic crisis that it is in today?
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
-0.33333
Somewhat Negative
Harvard-IV (Absolute)
-0.33333
Somewhat Negative
Harvard-IV (Logit)
-0.51083
VADER
-0.459
Negative
Moderation
Harassment
0.0643751235
OpenAI Moderation v1 (007)
Violence
0.0466852711
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0114203271
OpenAI Moderation v1 (007)
Hate
0.0074308511
OpenAI Moderation v1 (007)
Hate > Threatening
0.002269801
OpenAI Moderation v1 (007)
Violence > Graphic
0.000796786
OpenAI Moderation v1 (007)
Sexual
0.0006869722
OpenAI Moderation v1 (007)
Sexual > Minors
0.0003826455
OpenAI Moderation v1 (007)
Self-Harm
7.69107E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
6.14057E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
5.53371E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance > Economy (General)
Score:
100
Magnitude:
0.229
Code:
4017000
Url:
https://cv.iptc.org/newscodes/subjectcode/04017000
Wikidata_id:
Q159810
Wikidata_label:
economy
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
56.9
Gunning-Fog Score
17.3
Coleman-Liau Index
8.2
SMOG Index
11.3
Automated Readability Index
12
Dale-Chall Readability Score
4
Sprache Readability Score
5
Dale-Chall Difficult Word Score
5
Sprache Difficult Word Count
6
Donald Trump
00:07:27-00:09:15 (108 sec)No StressLens
Well, I think if incentives aren't given through taxing and others means, I believe that this country could be in this deep recession/depression for years. For years. I see no-no sign of any kind of an upturn at all. There is no incentive to do anything. There is no incentive to invest. Everyone is doing badly, everyone. The wealthiest people are doing badly. Poor people are doing badly. Everybody is doing badly. I mean, you walk around the cities today, very, very few are doing well. And unless the incentive is given back to this country, and it has been taken away with 1986, unless it is given back, I really think you could-there is an expression that we are using, survive until 1995. I think it is maybe longer than that. Survive until 1995. I think we are being generous. It is really, really bad, and you folks are going to have to do something to fix it and to get people moving.
Sentiment
Loughran McDonald (Relative)
-0.5
Very Negative
Loughran McDonald (Absolute)
-0.5
Very Negative
Loughran McDonald (Logit)
-0.8473
Harvard-IV (Relative)
-0.28571
Slightly Negative
Harvard-IV (Absolute)
-0.28571
Slightly Negative
Harvard-IV (Logit)
-0.54654
VADER
-0.664
Very Negative
Moderation
Harassment
0.9661589749
OpenAI Moderation v1 (007)
Hate
0.1071747625
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0120240307
OpenAI Moderation v1 (007)
Violence
0.0056717858
OpenAI Moderation v1 (007)
Violence > Graphic
0.000474329
OpenAI Moderation v1 (007)
Sexual
0.0002092365
OpenAI Moderation v1 (007)
Self-Harm
0.000116606
OpenAI Moderation v1 (007)
Self-Harm > Intent
8.49607E-5
OpenAI Moderation v1 (007)
Hate > Threatening
4.76937E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
5.8704E-6
OpenAI Moderation v1 (007)
Sexual > Minors
4.7267E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Social Issue > Poverty
Score:
100
Magnitude:
0.124
Code:
14012000
Url:
https://cv.iptc.org/newscodes/subjectcode/14012000
Wikidata_id:
Q10294
Wikidata_label:
poverty
Source:
IPTC Subject
Topic:
Health > Disease
Score:
59
Magnitude:
0.074
Code:
7001000
Url:
https://cv.iptc.org/newscodes/subjectcode/07001000
Wikidata_id:
Q814207
Wikidata_label:
illness
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
5.7
Flesch-Kincaid Ease
74
Gunning-Fog Score
8.5
Coleman-Liau Index
8.4
SMOG Index
9.3
Automated Readability Index
3.5
Dale-Chall Readability Score
2.7
Sprache Readability Score
4.2
Dale-Chall Difficult Word Score
23
Sprache Difficult Word Count
27
Frank Guarini
00:09:15-00:09:47 (32 sec)No StressLens
How did we get here as we are? Has it been the mountain of debt that has been created in the public and private sector? Has it been the generosity, as Mr. Seidman said, of our tax laws, allowing interest payments to be deducted, so that it encourages a debt-driven economy?
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.09861
Harvard-IV (Relative)
0.42857
Positive
Harvard-IV (Absolute)
0.42857
Positive
Harvard-IV (Logit)
0.78846
VADER
0.86
Very Positive
Moderation
Harassment
0.056904729
OpenAI Moderation v1 (007)
Hate
0.0267599127
OpenAI Moderation v1 (007)
Violence
0.0172037922
OpenAI Moderation v1 (007)
Violence > Graphic
0.007341415
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0017292499
OpenAI Moderation v1 (007)
Hate > Threatening
0.0012266584
OpenAI Moderation v1 (007)
Sexual > Minors
0.0009576
OpenAI Moderation v1 (007)
Sexual
0.0009177073
OpenAI Moderation v1 (007)
Self-Harm
3.39119E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.03646E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
6.7521E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance
Score:
100
Magnitude:
0.216
Code:
4000000
Url:
https://cv.iptc.org/newscodes/subjectcode/04000000
Wikidata_id:
Q159810
Wikidata_label:
economy
Source:
IPTC Subject
Topic:
Economy, Business and Finance > Economy (General)
Score:
73
Magnitude:
0.158
Code:
4017000
Url:
https://cv.iptc.org/newscodes/subjectcode/04017000
Wikidata_id:
Q159810
Wikidata_label:
economy
Source:
IPTC Subject
Topic:
Crime, Law and Justice > Judiciary (System of Justice)
Score:
53
Magnitude:
0.115
Code:
2002000
Url:
https://cv.iptc.org/newscodes/subjectcode/02002000
Wikidata_id:
Q105985
Wikidata_label:
judiciary
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
6.7
Flesch-Kincaid Ease
70
Gunning-Fog Score
9.8
Coleman-Liau Index
8.4
SMOG Index
10.3
Automated Readability Index
4.5
Dale-Chall Readability Score
4.6
Sprache Readability Score
3.6
Dale-Chall Difficult Word Score
13
Sprache Difficult Word Count
17
Donald Trump
00:09:47-00:12:14 (147 sec)No StressLens
Well, I think we got here by the fact that at the time certain things were dono, I-can speak in terms of the real estate business, certain deals were made, predicated on a certain tax policy, and then that tax policy was changed. I mean, I truly believe that you wouldn't have had the savings and loan crisis-I mean you save minutia compared to the money that you have wasted on bailing out the savings and loans. Now, if your insurance companies are in deep trouble, and I think they are going to get much worse because some-much of their portfolio is in real estate, and I think you better save the real estate now. I can tell you, I bought things that were great deals in the middle 1980's and even the later 1980's, but when that tax law kicked in, you know, really kicked in, all of a sudden, those deals which were good economic deals were no longer good economic deals, because they changed the game on me, and they changed the game on everybody else. And it is pretty unfair. You make a deal predicated on a certain tax law, and then they change the rules. So a lot of the problems that you have experienced are because of the fact that some very foolish people, in order to save a small amount of money because they heard the word tax shelter, and they thought the word tax shelter was a bad thing as opposed to saying it is an investment in real estate-I mean, an investment in low income housing they call a tax shelter. And the word tax shelter is like the word junk bond. It is very bad-sounding word, even though it isn't necessarily a bad thing. So they heard the word tax shelter, and, politically, they didn't like that word, and they said let's get rid of tax shelters. When they got rid of tax shelters, they got rid of people investing in low and moderate income housing and lots of other good things. And I think you are going to have to go back. They could have corrected 1982, the law, 1982. They could have corrected it, gotten rid of the abuse and had a great situation today. You wouldn't have had the savings and loans problems. I don't think you would have had many of the banking problems. You wouldn't have had what is going to befall you now, I think. I think the insurance companies are going to be in very deep trouble because of the values of their real estate have been eroded because of what Congress has done. So you have some very deep problems that can be corrected fairly simply by putting the incentives back.
Sentiment
Loughran McDonald (Relative)
-0.73913
Very Negative
Loughran McDonald (Absolute)
-0.73913
Very Negative
Loughran McDonald (Logit)
-1.76766
Harvard-IV (Relative)
-0.02632
Neutral
Harvard-IV (Absolute)
-0.02632
Neutral
Harvard-IV (Logit)
-0.05196
VADER
0.264
Slightly Positive
Moderation
Hate
1.0239276104
OpenAI Moderation v1 (007)
Harassment
0.7746089716
OpenAI Moderation v1 (007)
Sexual
0.0146814084
OpenAI Moderation v1 (007)
Violence
0.012196949
OpenAI Moderation v1 (007)
Violence > Graphic
0.0008179667
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0003885978
OpenAI Moderation v1 (007)
Sexual > Minors
0.0002062116
OpenAI Moderation v1 (007)
Hate > Threatening
8.6472E-6
OpenAI Moderation v1 (007)
Self-Harm
5.1899E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.152E-7
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.77E-8
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance > Construction and Property
Score:
100
Magnitude:
1
Code:
4004000
Url:
https://cv.iptc.org/newscodes/subjectcode/04004000
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
9.7
Flesch-Kincaid Ease
69.2
Gunning-Fog Score
12.2
Coleman-Liau Index
8.5
SMOG Index
10.2
Automated Readability Index
10.2
Dale-Chall Readability Score
3.5
Sprache Readability Score
5
Dale-Chall Difficult Word Score
67
Sprache Difficult Word Count
63
Frank Guarini
00:12:14-00:12:45 (31 sec)No StressLens
Real estate has always been one of America's favorite industries. The Tax Code has long favored real estate to a great extent because the industry employs so many people and is so important for the welfare of our economy. In 1981, we became very generous with real estate. We cut depreciation schedules in half. We gave tax credits. Would you say that this is where we started to go wrong? Is that where the beginning of building shopping centers and commercial buildings that were not filled?
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.28571
Slightly Positive
Harvard-IV (Absolute)
0.28571
Slightly Positive
Harvard-IV (Logit)
0.54654
VADER
0.903
Very Positive
Moderation
Harassment
0.0161782737
OpenAI Moderation v1 (007)
Violence > Graphic
0.0117193362
OpenAI Moderation v1 (007)
Hate
0.0084888226
OpenAI Moderation v1 (007)
Violence
0.0041327989
OpenAI Moderation v1 (007)
Sexual
0.0003072189
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0002822552
OpenAI Moderation v1 (007)
Sexual > Minors
0.0002123688
OpenAI Moderation v1 (007)
Hate > Threatening
5.7985E-6
OpenAI Moderation v1 (007)
Self-Harm
2.9929E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
3.645E-7
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.936E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance > Construction and Property
Score:
100
Magnitude:
1
Code:
4004000
Url:
https://cv.iptc.org/newscodes/subjectcode/04004000
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
7.2
Flesch-Kincaid Ease
65.5
Gunning-Fog Score
9.1
Coleman-Liau Index
11.2
SMOG Index
10.1
Automated Readability Index
6.3
Dale-Chall Readability Score
4.1
Sprache Readability Score
3.9
Dale-Chall Difficult Word Score
19
Sprache Difficult Word Count
22
Donald Trump
00:12:45-00:13:01 (16 sec)Weak (1.194)
I think that is where you started to go right, but maybe there was an excess. I think if it was channeled more toward the housing, which has always been-I mean there has never been enough housing. You need it desperately, and I am talking all forms of housing. You need it desperately.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
-0.66667
Very Negative
Harvard-IV (Absolute)
-0.66667
Very Negative
Harvard-IV (Logit)
-1.29928
VADER
-0.778
Very Negative
Moderation
Harassment
0.0255015184
OpenAI Moderation v1 (007)
Violence
0.0043209089
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0041536292
OpenAI Moderation v1 (007)
Hate
0.0013678589
OpenAI Moderation v1 (007)
Sexual
0.0005132412
OpenAI Moderation v1 (007)
Violence > Graphic
0.0003045622
OpenAI Moderation v1 (007)
Self-Harm
0.0001136205
OpenAI Moderation v1 (007)
Sexual > Minors
9.83423E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
4.36921E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.37019E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
5.606E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
5.4
Flesch-Kincaid Ease
80.3
Gunning-Fog Score
6.9
Coleman-Liau Index
8.7
SMOG Index
7.3
Automated Readability Index
4.9
Dale-Chall Readability Score
3.3
Sprache Readability Score
2.9
Dale-Chall Difficult Word Score
9
Sprache Difficult Word Count
7
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
0.0081968712
OpenAI Moderation v1 (007)
Hate
0.0012767831
OpenAI Moderation v1 (007)
Sexual
0.000624093
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0005151704
OpenAI Moderation v1 (007)
Violence > Graphic
0.0004974756
OpenAI Moderation v1 (007)
Violence
0.0003307129
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001905888
OpenAI Moderation v1 (007)
Hate > Threatening
6.37149E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.33836E-5
OpenAI Moderation v1 (007)
Self-Harm
2.19193E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
5.479E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
9.6
Flesch-Kincaid Ease
33.6
Gunning-Fog Score
1.6
Coleman-Liau Index
12
SMOG Index
9
Automated Readability Index
10
Dale-Chall Readability Score
8.1
Sprache Readability Score
1.4
Dale-Chall Difficult Word Score
2
Sprache Difficult Word Count
3
Donald Trump
00:13:03-00:13:39 (36 sec)Weak (1.052)
Including low-income housing, absolutely, and including senior citizen housing and dormitory housing and other forms of housing. There has never been-it is an insatiable thing, and you could really get that going. But what you are also getting going is jobs. Because I tell you what-New York unemployment and other cities' unemployment is astronomical. I think it is much higher than the numbers are indicating. I just don't think it has been reflected yet. If you look at what is going to happen with the construction industry within the next few years, forget it. There is not going to be anybody working. So I really think you need that for a lot of reasons, but also to spur jobs.
Sentiment
Loughran McDonald (Relative)
-0.33333
Somewhat Negative
Loughran McDonald (Absolute)
-0.33333
Somewhat Negative
Loughran McDonald (Logit)
-0.51083
Harvard-IV (Relative)
-0.2
Slightly Negative
Harvard-IV (Absolute)
-0.2
Slightly Negative
Harvard-IV (Logit)
-0.36772
VADER
-0.519
Very Negative
Moderation
Harassment
0.6208755076
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0181908632
OpenAI Moderation v1 (007)
Hate
0.0089641886
OpenAI Moderation v1 (007)
Sexual
0.0078279925
OpenAI Moderation v1 (007)
Violence > Graphic
0.0072356386
OpenAI Moderation v1 (007)
Violence
0.0050865139
OpenAI Moderation v1 (007)
Sexual > Minors
0.0012703484
OpenAI Moderation v1 (007)
Self-Harm
0.0009033944
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0007974026
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0004474745
OpenAI Moderation v1 (007)
Hate > Threatening
6.24989E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Labor > Unemployment
Score:
100
Magnitude:
0.097
Code:
9009000
Url:
https://cv.iptc.org/newscodes/subjectcode/09009000
Wikidata_id:
Q41171
Wikidata_label:
unemployment
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
7.6
Flesch-Kincaid Ease
64.8
Gunning-Fog Score
10.7
Coleman-Liau Index
10.6
SMOG Index
11.1
Automated Readability Index
6.5
Dale-Chall Readability Score
3.6
Sprache Readability Score
4.4
Dale-Chall Difficult Word Score
23
Sprache Difficult Word Count
26
Frank Guarini
00:13:39-00:14:31 (52 sec)No StressLens
Passive losses, one thing that many people draw attention to, as Mr. Seidman did. Members of this committee did, when we passed it, and we had no hearings to my knowledge on it. It happened almost overnight, and it was a surprise, so that it was never given the full thought and attention it should have had before we made such a bold and important move. There is a bill now that Mike Andrews has with several hundred, I understand, cosponsors that hasn't moved through the Ways and Means Committee yet. It says that developers should, if their fulltime occupation is real estate development, be excluded from the passive law rules law. I assume you agree with this, and I am wondering whether or not you think it should even go beyond real estate developers.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
0.6
Very Positive
Harvard-IV (Absolute)
0.6
Very Positive
Harvard-IV (Logit)
1.22378
VADER
0.511
Very Positive
Moderation
Violence > Graphic
0.0034248398
OpenAI Moderation v1 (007)
Harassment
0.002642935
OpenAI Moderation v1 (007)
Violence
0.0021073698
OpenAI Moderation v1 (007)
Sexual
0.0014126927
OpenAI Moderation v1 (007)
Hate
0.0010996149
OpenAI Moderation v1 (007)
Self-Harm
0.0009324764
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0007974383
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0002060865
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0001379243
OpenAI Moderation v1 (007)
Sexual > Minors
4.20062E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.11476E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance > Construction and Property
Score:
100
Magnitude:
0.837
Code:
4004000
Url:
https://cv.iptc.org/newscodes/subjectcode/04004000
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
9
Flesch-Kincaid Ease
65.1
Gunning-Fog Score
11.9
Coleman-Liau Index
10.6
SMOG Index
11.6
Automated Readability Index
9.4
Dale-Chall Readability Score
3.9
Sprache Readability Score
5
Dale-Chall Difficult Word Score
25
Sprache Difficult Word Count
33
Donald Trump
00:14:31-00:14:55 (24 sec)No StressLens
I think it has to go beyond developers because we are going to get a lot of the liquidity from people outside that are making money and can invest in real estate. Right now they can't. As far as the passive laws, I did hear something about-in 1986passive laws, but nobody ever thought it would be possible for something like this to get passed. And all of a sudden it is passed, and everybody, including the U.S. Government, is left holding the bag, and a lot of other governments, by the way.
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
0.565
Very Positive
Moderation
Harassment
0.0361379323
OpenAI Moderation v1 (007)
Hate
0.0120152174
OpenAI Moderation v1 (007)
Violence
0.0026676671
OpenAI Moderation v1 (007)
Sexual
0.0024282032
OpenAI Moderation v1 (007)
Violence > Graphic
0.0014829725
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0007324769
OpenAI Moderation v1 (007)
Hate > Threatening
2.86523E-5
OpenAI Moderation v1 (007)
Sexual > Minors
2.02179E-5
OpenAI Moderation v1 (007)
Self-Harm
4.9487E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.0341E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
6.598E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance > Construction and Property
Score:
100
Magnitude:
0.906
Code:
4004000
Url:
https://cv.iptc.org/newscodes/subjectcode/04004000
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
7.3
Flesch-Kincaid Ease
70.3
Gunning-Fog Score
10.5
Coleman-Liau Index
8.2
SMOG Index
10.6
Automated Readability Index
5.6
Dale-Chall Readability Score
2.6
Sprache Readability Score
3.9
Dale-Chall Difficult Word Score
11
Sprache Difficult Word Count
16
Frank Guarini
00:14:55-00:15:08 (13 sec)No StressLens
And now it is very difficult to get rid of,because of the revenue loss that would ensue. The marginal rates of our income tax would have to go up so high. The passive loss deduction was eliminated so that they could bring the marginal rates down.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.94591
Harvard-IV (Relative)
-1
Very Negative
Harvard-IV (Absolute)
-1
Very Negative
Harvard-IV (Logit)
-2.94444
VADER
-0.645
Very Negative
Moderation
Violence
0.2440391108
OpenAI Moderation v1 (007)
Harassment
0.0454841735
OpenAI Moderation v1 (007)
Hate
0.0283469824
OpenAI Moderation v1 (007)
Violence > Graphic
0.0239151341
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0082947736
OpenAI Moderation v1 (007)
Self-Harm
0.001178697
OpenAI Moderation v1 (007)
Hate > Threatening
0.000499018
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0004645846
OpenAI Moderation v1 (007)
Sexual
0.000148952
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0001144742
OpenAI Moderation v1 (007)
Sexual > Minors
4.46892E-5
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
7.1
Flesch-Kincaid Ease
72.1
Gunning-Fog Score
11.4
Coleman-Liau Index
8.9
SMOG Index
11.3
Automated Readability Index
6.1
Dale-Chall Readability Score
4.1
Sprache Readability Score
3.5
Dale-Chall Difficult Word Score
10
Sprache Difficult Word Count
12
Donald Trump
00:15:08-00:15:24 (16 sec)No StressLens
I don't think they would go up. I think you would end up bringing much more money into the system so that you may look at a specific list. But I think the the incentives and everything else would bring so much money into the system that the numbers-and everybody that says that would just be far, far better than anybody really understands or knows.
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
0.637
Very Positive
Moderation
Harassment
0.2384028398
OpenAI Moderation v1 (007)
Violence
0.0280715816
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0240201611
OpenAI Moderation v1 (007)
Hate
0.0088752109
OpenAI Moderation v1 (007)
Violence > Graphic
0.0055169814
OpenAI Moderation v1 (007)
Sexual
0.0022312943
OpenAI Moderation v1 (007)
Hate > Threatening
0.001249228
OpenAI Moderation v1 (007)
Self-Harm
0.0011953054
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0009975918
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0003140769
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001033122
OpenAI Moderation v1 (007)
Topics
Topic:
Politics
Score:
100
Magnitude:
0.091
Code:
11000000
Url:
https://cv.iptc.org/newscodes/subjectcode/11000000
Wikidata_id:
Q7163
Wikidata_label:
politics
Source:
IPTC Subject
Topic:
Social Issue > People
Score:
94
Magnitude:
0.086
Code:
14024000
Url:
https://cv.iptc.org/newscodes/subjectcode/14024000
Wikidata_id:
Q1156970
Wikidata_label:
humanity
Source:
IPTC Subject
Topic:
Arts, Culture and Entertainment > Culture (General)
Score:
91
Magnitude:
0.083
Code:
1022000
Url:
https://cv.iptc.org/newscodes/subjectcode/01022000
Wikidata_id:
Q11042
Wikidata_label:
culture
Source:
IPTC Subject
Topic:
Arts, Culture and Entertainment > Mass Media > Reviews
Score:
89
Magnitude:
0.081
Code:
1026004
Url:
https://cv.iptc.org/newscodes/subjectcode/01026004
Wikidata_id:
Q2018526
Wikidata_label:
arts
Source:
IPTC Subject
Topic:
Social Issue
Score:
79
Magnitude:
0.072
Code:
14000000
Url:
https://cv.iptc.org/newscodes/subjectcode/14000000
Wikidata_id:
Q8425
Wikidata_label:
society
Source:
IPTC Subject
Topic:
Human Interest
Score:
67
Magnitude:
0.061
Code:
8000000
Url:
https://cv.iptc.org/newscodes/subjectcode/08000000
Wikidata_id:
Q361306
Wikidata_label:
human interest story
Source:
IPTC Subject
Topic:
Economy, Business and Finance > Financial and Business Service > Personal Income
Score:
56
Magnitude:
0.051
Code:
4006019
Url:
https://cv.iptc.org/newscodes/subjectcode/04006019
Wikidata_id:
Q7170591
Wikidata_label:
personal income
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
9.8
Flesch-Kincaid Ease
64
Gunning-Fog Score
13
Coleman-Liau Index
9.1
SMOG Index
12
Automated Readability Index
9.5
Dale-Chall Readability Score
2.3
Sprache Readability Score
4
Dale-Chall Difficult Word Score
5
Sprache Difficult Word Count
8
Frank Guarini
00:15:24-00:16:06 (42 sec)No StressLens
Hopefully, we can cure these excesses. Just let me, lastly, turn to capital gains. President Kennedy brought our capital gains tax down to 20 percent. Now, of course, it seems to be a bad word in certain corners of Capitol Hill. Would you say that we should go back to the traditional type of capital gains where all kinds of equities in real estate be given the normal deduction that we had pre-1986, or should we just target our capital gains to capital ventures, to resources that we need to have particular growth in?
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.60944
Harvard-IV (Relative)
0.33333
Somewhat Positive
Harvard-IV (Absolute)
0.33333
Somewhat Positive
Harvard-IV (Logit)
0.65393
VADER
0.889
Very Positive
Moderation
Harassment
0.0488153921
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0222954171
OpenAI Moderation v1 (007)
Hate
0.0097995253
OpenAI Moderation v1 (007)
Violence
0.0056201199
OpenAI Moderation v1 (007)
Violence > Graphic
0.0053693351
OpenAI Moderation v1 (007)
Sexual
0.0009247171
OpenAI Moderation v1 (007)
Hate > Threatening
0.0005299408
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001736152
OpenAI Moderation v1 (007)
Self-Harm > Intent
6.78099E-5
OpenAI Moderation v1 (007)
Self-Harm
4.70662E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.48117E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance > Construction and Property
Score:
100
Magnitude:
0.414
Code:
4004000
Url:
https://cv.iptc.org/newscodes/subjectcode/04004000
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
8.3
Flesch-Kincaid Ease
69.1
Gunning-Fog Score
11.8
Coleman-Liau Index
9.5
SMOG Index
12
Automated Readability Index
8.3
Dale-Chall Readability Score
4.1
Sprache Readability Score
4.9
Dale-Chall Difficult Word Score
19
Sprache Difficult Word Count
24
Donald Trump
00:16:06-00:16:23 (17 sec)No StressLens
I think it could be targeted, but I think that capital gains is important, and I think real estate in particular in this country really needs help, because it is such a dominant force. It just gets everything else going. And if you can get real estate going, if you can get construction going in the country, I think that is the way you get out of the recession or depression.
Sentiment
Loughran McDonald (Relative)
-0.5
Very Negative
Loughran McDonald (Absolute)
-0.5
Very Negative
Loughran McDonald (Logit)
-0.8473
Harvard-IV (Relative)
-0.23077
Slightly Negative
Harvard-IV (Absolute)
-0.23077
Slightly Negative
Harvard-IV (Logit)
-0.43532
VADER
-0.124
Leans Negative
Moderation
Harassment
0.0025082618
OpenAI Moderation v1 (007)
Violence
0.0016791719
OpenAI Moderation v1 (007)
Hate
0.0014781394
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0012653994
OpenAI Moderation v1 (007)
Sexual
0.0008819651
OpenAI Moderation v1 (007)
Violence > Graphic
0.0004131977
OpenAI Moderation v1 (007)
Hate > Threatening
6.02435E-5
OpenAI Moderation v1 (007)
Self-Harm
4.73649E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.05595E-5
OpenAI Moderation v1 (007)
Sexual > Minors
8.2724E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.3847E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance > Construction and Property
Score:
100
Magnitude:
1
Code:
4004000
Url:
https://cv.iptc.org/newscodes/subjectcode/04004000
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
10.8
Flesch-Kincaid Ease
60.1
Gunning-Fog Score
15.1
Coleman-Liau Index
8.9
SMOG Index
12
Automated Readability Index
10.2
Dale-Chall Readability Score
3.2
Sprache Readability Score
4.5
Dale-Chall Difficult Word Score
9
Sprache Difficult Word Count
12
Frank Guarini
00:16:23-00:16:29 (6 sec)No StressLens
And for savings, super-IRAs like Senator Bentsen has over in the Senate side, you are for that?
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
0.361
Somewhat Positive
Moderation
Harassment
0.0286010792
OpenAI Moderation v1 (007)
Violence
0.0081912993
OpenAI Moderation v1 (007)
Violence > Graphic
0.0073889212
OpenAI Moderation v1 (007)
Sexual
0.0010788209
OpenAI Moderation v1 (007)
Hate
0.0007635206
OpenAI Moderation v1 (007)
Self-Harm
0.0004419873
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0002881621
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0002452922
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001466508
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001433335
OpenAI Moderation v1 (007)
Hate > Threatening
5.16794E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Parliament > Upper House
Score:
100
Magnitude:
0.134
Code:
11009001
Url:
https://cv.iptc.org/newscodes/subjectcode/11009001
Wikidata_id:
Q637846
Wikidata_label:
upper house
Source:
IPTC Subject
Topic:
Politics > Parliament
Score:
90
Magnitude:
0.121
Code:
11009000
Url:
https://cv.iptc.org/newscodes/subjectcode/11009000
Wikidata_id:
Q35749
Wikidata_label:
parliament
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
8.5
Flesch-Kincaid Ease
66.4
Gunning-Fog Score
7.2
Coleman-Liau Index
8.7
SMOG Index
9
Automated Readability Index
7.2
Dale-Chall Readability Score
5.3
Sprache Readability Score
3.3
Dale-Chall Difficult Word Score
5
Sprache Difficult Word Count
6
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
Sexual
0.0933520088
OpenAI Moderation v1 (007)
Harassment
0.0378426426
OpenAI Moderation v1 (007)
Hate
0.0199876391
OpenAI Moderation v1 (007)
Sexual > Minors
0.0108610686
OpenAI Moderation v1 (007)
Violence
0.0073072464
OpenAI Moderation v1 (007)
Violence > Graphic
0.00686657
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0040750969
OpenAI Moderation v1 (007)
Self-Harm
0.0017335329
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0008221342
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0001742463
OpenAI Moderation v1 (007)
Hate > Threatening
9.82415E-5
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
0
Gunning-Fog Score
0.4
Coleman-Liau Index
12
SMOG Index
9
Automated Readability Index
12
Dale-Chall Readability Score
10
Sprache Readability Score
0.9
Dale-Chall Difficult Word Score
1
Sprache Difficult Word Count
1
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.09861
VADER
0.361
Somewhat Positive
Moderation
Harassment
0.118197978
OpenAI Moderation v1 (007)
Sexual
0.0119290831
OpenAI Moderation v1 (007)
Violence
0.0030446256
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0016441178
OpenAI Moderation v1 (007)
Hate
0.0004756381
OpenAI Moderation v1 (007)
Violence > Graphic
0.000269474
OpenAI Moderation v1 (007)
Sexual > Minors
5.3448E-5
OpenAI Moderation v1 (007)
Self-Harm
2.43269E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.40147E-5
OpenAI Moderation v1 (007)
Hate > Threatening
8.092E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
6.7038E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Human Interest > People > Celebrity
Score:
100
Magnitude:
0.1
Code:
8003002
Url:
https://cv.iptc.org/newscodes/subjectcode/08003002
Wikidata_id:
Q211236
Wikidata_label:
celebrity
Source:
IPTC Subject
Topic:
Social Issue > People
Score:
51
Magnitude:
0.052
Code:
14024000
Url:
https://cv.iptc.org/newscodes/subjectcode/14024000
Wikidata_id:
Q1156970
Wikidata_label:
humanity
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
0
Flesch-Kincaid Ease
100
Gunning-Fog Score
1.2
Coleman-Liau Index
6.7
SMOG Index
3.3
Automated Readability Index
0
Dale-Chall Readability Score
5.4
Sprache Readability Score
1.2
Dale-Chall Difficult Word Score
2
Sprache Difficult Word Count
2
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.09861
VADER
0.361
Somewhat Positive
Moderation
Sexual
0.0489557919
OpenAI Moderation v1 (007)
Violence > Graphic
0.0019747966
OpenAI Moderation v1 (007)
Violence
0.0019629879
OpenAI Moderation v1 (007)
Harassment
0.0017079501
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0011730073
OpenAI Moderation v1 (007)
Self-Harm
0.0005874214
OpenAI Moderation v1 (007)
Sexual > Minors
0.0002964425
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.000244584
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0001745214
OpenAI Moderation v1 (007)
Hate
0.0001373121
OpenAI Moderation v1 (007)
Hate > Threatening
1.7581E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
0
Flesch-Kincaid Ease
100
Gunning-Fog Score
0.8
Coleman-Liau Index
7.6
SMOG Index
3.3
Automated Readability Index
0
Dale-Chall Readability Score
0.1
Sprache Readability Score
0.9
Dale-Chall Difficult Word Score
0
Sprache Difficult Word Count
0
Sentiment
Loughran McDonald (Relative)
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
0.0215472886
OpenAI Moderation v1 (007)
Violence
0.0101752601
OpenAI Moderation v1 (007)
Sexual
0.002478452
OpenAI Moderation v1 (007)
Violence > Graphic
0.0006556844
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0005361931
OpenAI Moderation v1 (007)
Hate
0.0002312671
OpenAI Moderation v1 (007)
Sexual > Minors
7.26891E-5
OpenAI Moderation v1 (007)
Self-Harm
6.6301E-6
OpenAI Moderation v1 (007)
Hate > Threatening
5.637E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
8.32E-8
OpenAI Moderation v1 (007)
Self-Harm > Intent
7.74E-8
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
2.9
Flesch-Kincaid Ease
77.9
Gunning-Fog Score
0.8
Coleman-Liau Index
10.6
SMOG Index
3.3
Automated Readability Index
0.8
Dale-Chall Readability Score
10
Sprache Readability Score
1.1
Dale-Chall Difficult Word Score
2
Sprache Difficult Word Count
2
Hal Rogers
00:16:34-00:16:38 (4 sec)No StressLens
Thank you, Mr. Chairman, and thanks for being here, Mr. Trump.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.60944
VADER
0.66
Very Positive
Moderation
Sexual
0.0308907387
OpenAI Moderation v1 (007)
Harassment
0.0156477385
OpenAI Moderation v1 (007)
Violence
0.0056788216
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0012954209
OpenAI Moderation v1 (007)
Violence > Graphic
0.0011978091
OpenAI Moderation v1 (007)
Hate
0.0003655769
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001186616
OpenAI Moderation v1 (007)
Self-Harm
4.08911E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.18264E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.6813E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.4433E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Human Interest > People > Celebrity
Score:
100
Magnitude:
0.068
Code:
8003002
Url:
https://cv.iptc.org/newscodes/subjectcode/08003002
Wikidata_id:
Q211236
Wikidata_label:
celebrity
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
0
Flesch-Kincaid Ease
100
Gunning-Fog Score
1.5
Coleman-Liau Index
8.7
SMOG Index
3.3
Automated Readability Index
0.1
Dale-Chall Readability Score
5.9
Sprache Readability Score
1.4
Dale-Chall Difficult Word Score
4
Sprache Difficult Word Count
4
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.09861
VADER
0.361
Somewhat Positive
Moderation
Sexual
0.0501232338
OpenAI Moderation v1 (007)
Violence > Graphic
0.0020157875
OpenAI Moderation v1 (007)
Violence
0.0020100631
OpenAI Moderation v1 (007)
Harassment
0.0017470591
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0011883222
OpenAI Moderation v1 (007)
Self-Harm
0.0005948356
OpenAI Moderation v1 (007)
Sexual > Minors
0.00030497
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0002463495
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0001774458
OpenAI Moderation v1 (007)
Hate
0.0001405299
OpenAI Moderation v1 (007)
Hate > Threatening
1.8116E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
0
Flesch-Kincaid Ease
100
Gunning-Fog Score
0.8
Coleman-Liau Index
7.6
SMOG Index
3.3
Automated Readability Index
0
Dale-Chall Readability Score
0.1
Sprache Readability Score
0.9
Dale-Chall Difficult Word Score
0
Sprache Difficult Word Count
0
Hal Rogers
00:16:39-00:16:58 (19 sec)No StressLens
What would prevent-if we restored the loss provision of the 1986 Act, what would prevent excesses under a reinstated passive loss provision that led to over commercial building previous to 1986?
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-2.3979
Harvard-IV (Relative)
-0.2
Slightly Negative
Harvard-IV (Absolute)
-0.2
Slightly Negative
Harvard-IV (Logit)
-0.33647
VADER
-0.077
Neutral
Moderation
Violence
0.0248458586
OpenAI Moderation v1 (007)
Harassment
0.0040283023
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0026138068
OpenAI Moderation v1 (007)
Hate
0.0023367998
OpenAI Moderation v1 (007)
Violence > Graphic
0.0022701712
OpenAI Moderation v1 (007)
Sexual
0.0014490745
OpenAI Moderation v1 (007)
Sexual > Minors
0.0006756687
OpenAI Moderation v1 (007)
Hate > Threatening
0.0002103915
OpenAI Moderation v1 (007)
Self-Harm
0.000121416
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.20571E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
3.02986E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance > Construction and Property > Renovation
Score:
100
Magnitude:
0.139
Code:
4004006
Url:
https://cv.iptc.org/newscodes/subjectcode/04004006
Wikidata_id:
Q2144402
Wikidata_label:
renovation
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
47.5
Gunning-Fog Score
19
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
7.5
Sprache Readability Score
5
Dale-Chall Difficult Word Score
12
Sprache Difficult Word Count
11
Donald Trump
00:16:58-00:17:37 (39 sec)No StressLens
Well, I think one thing that could be done is you could re-examine this over the years, so that if in 2 or 3 or 4 years you saw a great deal of housing, and I think that would be unlikely, because it does seem to be insatiable, but if you saw, and I hope ou have this problem, frankly, but if you saw so much housing eing created by the reinstatement or the cessation, I think that you could probably take another look at it and maybe terminate it at that point for the future. 48-881 0 92 2 But I just feel that you really-I mean that that was a tremendously negative provision, and it really hurt this country. It truly hurt the country.
Sentiment
Loughran McDonald (Relative)
-0.2
Slightly Negative
Loughran McDonald (Absolute)
-0.2
Slightly Negative
Loughran McDonald (Logit)
-0.33647
Harvard-IV (Relative)
0.14286
Leans Positive
Harvard-IV (Absolute)
0.14286
Leans Positive
Harvard-IV (Logit)
0.25131
VADER
-0.578
Very Negative
Moderation
Harassment
0.184625946
OpenAI Moderation v1 (007)
Hate
0.0427767634
OpenAI Moderation v1 (007)
Violence
0.0215463617
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0208939848
OpenAI Moderation v1 (007)
Sexual
0.0148808118
OpenAI Moderation v1 (007)
Violence > Graphic
0.0047277408
OpenAI Moderation v1 (007)
Self-Harm
0.000367242
OpenAI Moderation v1 (007)
Hate > Threatening
0.0001925441
OpenAI Moderation v1 (007)
Self-Harm > Intent
6.97648E-5
OpenAI Moderation v1 (007)
Sexual > Minors
5.46881E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.6633E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
56.9
Gunning-Fog Score
19
Coleman-Liau Index
6.4
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
4.5
Sprache Readability Score
5
Dale-Chall Difficult Word Score
19
Sprache Difficult Word Count
20
Hal Rogers
00:17:37-00:17:41 (4 sec)No StressLens
Would you limit its reinstatement to residential properties?
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
Neutral
Moderation
Harassment > Threatening
0.034350084
OpenAI Moderation v1 (007)
Violence
0.0136479124
OpenAI Moderation v1 (007)
Harassment
0.003143202
OpenAI Moderation v1 (007)
Hate
0.0017223769
OpenAI Moderation v1 (007)
Hate > Threatening
0.0015264231
OpenAI Moderation v1 (007)
Sexual
0.000247387
OpenAI Moderation v1 (007)
Violence > Graphic
8.31802E-5
OpenAI Moderation v1 (007)
Self-Harm
3.90443E-5
OpenAI Moderation v1 (007)
Sexual > Minors
2.00678E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.28423E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
6.5079E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
11.1
Flesch-Kincaid Ease
29.5
Gunning-Fog Score
18.2
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
8.3
Sprache Readability Score
2
Dale-Chall Difficult Word Score
4
Sprache Difficult Word Count
4
Donald Trump
00:17:41-00:18:58 (77 sec)No StressLens
Well, it just seems that that is what is really needed now. I mean everyone agrees that you need housing, and you probably always will need vast amounts of housing, so it seems that that is what is needed. But you have to understand, when the economy comes up, you know, these buildings, many of the buildings built right now, when they were built it seemed like a good idea by a lot of people, a lot of honest people. The banks that loaned the money weren't all bad. And what happened to a lot of people is that the economy went bad. Now everyody says, how could they have built this much space. But the fact is, this space, if the economy had stayed like it was in 1986 and 1985, that space would have been gobbled up, and they would have been building more, and everybody would be happy right now. The economy went very, very bad. You look at various cities, they are cutting back on space. I am seeing things where they had less space this year than they had two years ago. It is unheard of statistics. So nobody could have predicted what was going to happen with the economy. So it would be nice to have it across the board. It would be nice to say that the banking system and various other controls will take care, but you, certainly, at a minimum, you should have it for the housing industry, in my opinion.
Sentiment
Loughran McDonald (Relative)
-0.6
Very Negative
Loughran McDonald (Absolute)
-0.6
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
0.21739
Slightly Positive
Harvard-IV (Absolute)
0.21739
Slightly Positive
Harvard-IV (Logit)
0.42286
VADER
0.905
Very Positive
Moderation
Hate
0.0105294435
OpenAI Moderation v1 (007)
Harassment
0.0104498227
OpenAI Moderation v1 (007)
Violence
0.0012470201
OpenAI Moderation v1 (007)
Sexual
0.0006249173
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0002110486
OpenAI Moderation v1 (007)
Violence > Graphic
0.0002081245
OpenAI Moderation v1 (007)
Self-Harm
1.38323E-5
OpenAI Moderation v1 (007)
Sexual > Minors
1.07037E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
3.6501E-6
OpenAI Moderation v1 (007)
Hate > Threatening
1.2416E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.137E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance > Economy (General)
Score:
100
Magnitude:
0.278
Code:
4017000
Url:
https://cv.iptc.org/newscodes/subjectcode/04017000
Wikidata_id:
Q159810
Wikidata_label:
economy
Source:
IPTC Subject
Topic:
Economy, Business and Finance
Score:
72
Magnitude:
0.201
Code:
4000000
Url:
https://cv.iptc.org/newscodes/subjectcode/04000000
Wikidata_id:
Q159810
Wikidata_label:
economy
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
7.1
Flesch-Kincaid Ease
76
Gunning-Fog Score
10.7
Coleman-Liau Index
8.2
SMOG Index
10.4
Automated Readability Index
6.7
Dale-Chall Readability Score
2.9
Sprache Readability Score
5
Dale-Chall Difficult Word Score
32
Sprache Difficult Word Count
38
Hal Rogers
00:18:58-00:19:25 (27 sec)No StressLens
Mr. Seidman seemed to say, and he is behind you and can correct me if I am misstating his testimony, or part of it, he, in essence, said that a recovery in the overall economy is the only way.to cure the real estate problem. You seem to say that the reinstatement of the passive loss provision of 1986 TEFRA would lead us out of the recession.
Sentiment
Loughran McDonald (Relative)
-0.66667
Very Negative
Loughran McDonald (Absolute)
-0.66667
Very Negative
Loughran McDonald (Logit)
-1.29928
Harvard-IV (Relative)
0.14286
Leans Positive
Harvard-IV (Absolute)
0.14286
Leans Positive
Harvard-IV (Logit)
0.25131
VADER
-0.718
Very Negative
Moderation
Violence
0.0469775579
OpenAI Moderation v1 (007)
Harassment
0.0208318816
OpenAI Moderation v1 (007)
Violence > Graphic
0.0129108026
OpenAI Moderation v1 (007)
Hate
0.011109023
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0109676097
OpenAI Moderation v1 (007)
Sexual
0.0055031727
OpenAI Moderation v1 (007)
Self-Harm
0.0011056486
OpenAI Moderation v1 (007)
Sexual > Minors
0.0010985332
OpenAI Moderation v1 (007)
Hate > Threatening
0.0010452096
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0004758414
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0003743067
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance > Construction and Property
Score:
100
Magnitude:
0.422
Code:
4004000
Url:
https://cv.iptc.org/newscodes/subjectcode/04004000
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
7.8
Flesch-Kincaid Ease
68.6
Gunning-Fog Score
11.5
Coleman-Liau Index
7.5
SMOG Index
11.3
Automated Readability Index
5.6
Dale-Chall Readability Score
4.8
Sprache Readability Score
4.2
Dale-Chall Difficult Word Score
17
Sprache Difficult Word Count
18
Donald Trump
00:19:25-00:20:42 (77 sec)No StressLens
No, I am not saying that alone. I am agreeing with Mr. Seidman, except I will take the word only out. I think that the Government can do quite a bit also, including the shortening of depreciation schedules, power to syndicate, the right to syndicate, which also hes to do with the active passive if we were able to syndicate development or able to syndicate even buildings that are built and successful and good that you can't get a mortgage on. I mean, I have a friend, he has got a building with an IBM Triple Net lease, he can't get a mortgage on the building. And it is a perfect1 beautiful, nice little building with IBM as a tenant, and he can t get a mortgage because it is real estate, because the banks are allowed a certain amount of real estate. And they want to cut down on the real estate. So even a good loan like that, they don't want to put it, because they don't want to be associated this year for real estate. This is a bad year. Hopefully, in 2 years from now everyone is going to want real estate. It runs in cycles. But you really can do things other than just economy, I mean I think you can-I would like to say that you can spur the economy through taxes so that the economy actually gets good.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
-0.04762
Neutral
Harvard-IV (Absolute)
-0.04762
Neutral
Harvard-IV (Logit)
-0.09097
VADER
0.984
Very Positive
Moderation
Hate
0.020188003
OpenAI Moderation v1 (007)
Harassment
0.0145689381
OpenAI Moderation v1 (007)
Violence
0.0079881378
OpenAI Moderation v1 (007)
Sexual
0.0057521334
OpenAI Moderation v1 (007)
Violence > Graphic
0.0036833972
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0022284212
OpenAI Moderation v1 (007)
Self-Harm
0.000491883
OpenAI Moderation v1 (007)
Hate > Threatening
0.0002743413
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001057792
OpenAI Moderation v1 (007)
Sexual > Minors
4.46158E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.23318E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance > Construction and Property
Score:
100
Magnitude:
1
Code:
4004000
Url:
https://cv.iptc.org/newscodes/subjectcode/04004000
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
8.6
Flesch-Kincaid Ease
68.6
Gunning-Fog Score
11.3
Coleman-Liau Index
7.9
SMOG Index
10.8
Automated Readability Index
7.3
Dale-Chall Readability Score
3.7
Sprache Readability Score
5
Dale-Chall Difficult Word Score
40
Sprache Difficult Word Count
37
Hal Rogers
00:20:42-00:21:18 (36 sec)No StressLens
Now, we are operating under the Budget Act, the budget agreement, which has a paygo provision, pay as you go. If you reduce taxes, you got to make up the revenue somewhere else, so that we have a revenue neutral action. Are you saying that if we reinstate the passive loss provision, we are going to have some lost revenues because of that? Am I hearing you say that you would increase the income tax rates of the higherincome people?
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
0.394
Somewhat Positive
Moderation
Harassment
0.0457236398
OpenAI Moderation v1 (007)
Violence > Graphic
0.019936134
OpenAI Moderation v1 (007)
Violence
0.018901666
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0056287823
OpenAI Moderation v1 (007)
Hate
0.0054860753
OpenAI Moderation v1 (007)
Sexual
0.0003176659
OpenAI Moderation v1 (007)
Hate > Threatening
0.00016798
OpenAI Moderation v1 (007)
Self-Harm
5.20849E-5
OpenAI Moderation v1 (007)
Sexual > Minors
2.0596E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
8.8099E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.6731E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
9.5
Flesch-Kincaid Ease
62.8
Gunning-Fog Score
12.5
Coleman-Liau Index
9.5
SMOG Index
11.8
Automated Readability Index
8.8
Dale-Chall Readability Score
4.9
Sprache Readability Score
4.9
Dale-Chall Difficult Word Score
20
Sprache Difficult Word Count
22
Donald Trump
00:21:18-00:22:14 (56 sec)No StressLens
Well, I would do that. Yes, sir. I would do that because I believe strongly that people don't have enough incentive to invest right now at 25 percent. I just don't believe they have enough incentive to take the risk of investment with recapture and all of the other problems of investing in real estate and other things. And I would absolutely do that with the understanding that, if they do make the investments, they can go down to the minimum level. And I feel very strongly about that. As far as the $5 billion that we are talking about, that $5 billion in loss of taxes may contribute $100 billion because of the incentives that it gives. See, I don't look at that as a loss in taxes. I think that so much work could bcreated by getting rid of that horror show that you may take in a hundred billion. Now an accountant will tell you, well, we are going to lose $5 billion. But in actuality it could spur hundreds of billons of dollars worth of work.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-2.19722
Harvard-IV (Relative)
-0.17647
Leans Negative
Harvard-IV (Absolute)
-0.17647
Leans Negative
Harvard-IV (Logit)
-0.33647
VADER
-0.045
Neutral
Moderation
Harassment
0.0425729319
OpenAI Moderation v1 (007)
Hate
0.0167158054
OpenAI Moderation v1 (007)
Violence
0.0160034251
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0079989317
OpenAI Moderation v1 (007)
Sexual
0.0035379457
OpenAI Moderation v1 (007)
Violence > Graphic
0.0017039887
OpenAI Moderation v1 (007)
Hate > Threatening
0.0002586037
OpenAI Moderation v1 (007)
Self-Harm
0.0001340063
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001300859
OpenAI Moderation v1 (007)
Self-Harm > Intent
8.7593E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.2456E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance > Construction and Property
Score:
100
Magnitude:
0.367
Code:
4004000
Url:
https://cv.iptc.org/newscodes/subjectcode/04004000
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
6.9
Flesch-Kincaid Ease
75.1
Gunning-Fog Score
10.5
Coleman-Liau Index
8.4
SMOG Index
10.6
Automated Readability Index
6.1
Dale-Chall Readability Score
3.8
Sprache Readability Score
5
Dale-Chall Difficult Word Score
34
Sprache Difficult Word Count
29
Hal Rogers
00:22:14-00:22:18 (4 sec)No StressLens
I thank you for your testimony. You have been very helpful.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.60944
VADER
0.677
Very Positive
Moderation
Sexual
0.0991466688
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0115705872
OpenAI Moderation v1 (007)
Self-Harm
0.0072426657
OpenAI Moderation v1 (007)
Violence
0.0055839326
OpenAI Moderation v1 (007)
Harassment
0.0013304624
OpenAI Moderation v1 (007)
Violence > Graphic
0.0009885325
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0008273158
OpenAI Moderation v1 (007)
Sexual > Minors
0.0007629594
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0003512318
OpenAI Moderation v1 (007)
Hate
0.0002054948
OpenAI Moderation v1 (007)
Hate > Threatening
1.88921E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Crime, Law and Justice > Prosecution > Witness
Score:
100
Magnitude:
0.052
Code:
2009002
Url:
https://cv.iptc.org/newscodes/subjectcode/02009002
Wikidata_id:
Q196939
Wikidata_label:
witness
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
3.7
Flesch-Kincaid Ease
78.2
Gunning-Fog Score
5.8
Coleman-Liau Index
9.3
SMOG Index
7.3
Automated Readability Index
1.4
Dale-Chall Readability Score
1.7
Sprache Readability Score
1.5
Dale-Chall Difficult Word Score
1
Sprache Difficult Word Count
2
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
0.1379658817
OpenAI Moderation v1 (007)
Violence
0.059951673
OpenAI Moderation v1 (007)
Sexual
0.0384916668
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0083454572
OpenAI Moderation v1 (007)
Violence > Graphic
0.0060987615
OpenAI Moderation v1 (007)
Hate
0.0048536291
OpenAI Moderation v1 (007)
Sexual > Minors
0.0040502851
OpenAI Moderation v1 (007)
Self-Harm
0.0003258799
OpenAI Moderation v1 (007)
Hate > Threatening
0.0003061344
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0002676287
OpenAI Moderation v1 (007)
Self-Harm > Intent
6.84582E-5
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
8.4
Flesch-Kincaid Ease
36.6
Gunning-Fog Score
19
Coleman-Liau Index
10.4
SMOG Index
7.3
Automated Readability Index
0.3
Dale-Chall Readability Score
10
Sprache Readability Score
0.9
Dale-Chall Difficult Word Score
2
Sprache Difficult Word Count
2
Jerry Huckaby
00:22:19-00:23:40 (81 sec)No StressLens
Thank you, Mr. Chairman. Mr. Trump, you mentioned the Soviet Union and no incentives there. You know, for the last 45 years we have been engaged in cold war with the Russians. Clearly, I think a year ago it became apparent that we had won that war. We spent tremendous dollars in the 1980's, as did the Russians in the military buildup. It broke their system, in my opinion, left us with a big debt. But, clearly, we are the surviving superpower today. And here we find ourselves taking a microlook at this economy. Inflation is very low, running around 3 percent, interest rates, lower than they have been in 19 years. No shortage of food, no shortage of oil, but things that have put us in recessions in our lifetime. And you seem to be saying, and I believe I agree with you, that you can trace this recession totally to the 1986 Tax Act and the devastating effect it had on real estate. But yet, prior to 1986, the tax laws were so generous that it seems to me that an awful lot of building was being driven by the Tax Code rather than a demand. What is your comment on this?
Sentiment
Loughran McDonald (Relative)
-0.42857
Negative
Loughran McDonald (Absolute)
-0.42857
Negative
Loughran McDonald (Logit)
-0.78846
Harvard-IV (Relative)
-0.33333
Somewhat Negative
Harvard-IV (Absolute)
-0.33333
Somewhat Negative
Harvard-IV (Logit)
-0.66329
VADER
-0.904
Very Negative
Moderation
Harassment
0.5472491961
OpenAI Moderation v1 (007)
Hate
0.1571333618
OpenAI Moderation v1 (007)
Violence
0.030393101
OpenAI Moderation v1 (007)
Sexual
0.0205800083
OpenAI Moderation v1 (007)
Harassment > Threatening
0.003381653
OpenAI Moderation v1 (007)
Violence > Graphic
0.0027510545
OpenAI Moderation v1 (007)
Sexual > Minors
0.001160877
OpenAI Moderation v1 (007)
Hate > Threatening
5.80205E-5
OpenAI Moderation v1 (007)
Self-Harm
2.56695E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
9.812E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
9.0354E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance > Construction and Property
Score:
100
Magnitude:
0.839
Code:
4004000
Url:
https://cv.iptc.org/newscodes/subjectcode/04004000
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
5.9
Flesch-Kincaid Ease
77.3
Gunning-Fog Score
8.8
Coleman-Liau Index
8
SMOG Index
9.7
Automated Readability Index
4.4
Dale-Chall Readability Score
4.2
Sprache Readability Score
5
Dale-Chall Difficult Word Score
46
Sprache Difficult Word Count
55
Donald Trump
00:23:40-00:25:16 (96 sec)No StressLens
I agree with that, and I agree that there was abuse, and there were openings in that law which could have easily been stopped and that could have been corrected. But what they did is they took an overall picture of the entire tax-with the new Tax Reform Act of 1986-and they totally destroyed the incentive that was proper in 1981. There were a lot of Mr.TRUMP. Thank you, sir. good things in 1981, and there were some bad ones, and the bad things should have been corrected. But they could have been corrected without having destroyed all of the incentive. For instance, we have had recessions before during my lifetime, which is now getting a little bit older and older, but in 1975 we had a recession, but that was a picnic compared to this. That was an absolute picnic. That was a question of some liquidity, some of this, some of that. Nobody knows when this is going to end. You know, you saw some smiles, when do you think it is going to end? Nobody has the faintest idea. There is absolutely no hope, insight, unless something is done by the government to spur the economy, because the economy is not going to spur itself. V. HUCKABY. I think all of the Members here have seemed to imply that they favor the changes in the passive losses. You mentioned a change in depreciation schedules, I guess reverting back to accelerated depreciation. I think that was one of the areas, looking back in the past, that was perhaps of greatest abuses where one could recover their entire investment, perhaps 3 years as a result of tax writeoffs. Which of these areas do you think would be more important?
Sentiment
Loughran McDonald (Relative)
-0.68421
Very Negative
Loughran McDonald (Absolute)
-0.68421
Very Negative
Loughran McDonald (Logit)
-1.5506
Harvard-IV (Relative)
-0.26667
Slightly Negative
Harvard-IV (Absolute)
-0.26667
Slightly Negative
Harvard-IV (Logit)
-0.52807
VADER
0.826
Very Positive
Moderation
Hate
0.1716913772
OpenAI Moderation v1 (007)
Violence
0.0858212996
OpenAI Moderation v1 (007)
Harassment
0.0591581804
OpenAI Moderation v1 (007)
Sexual
0.0345297623
OpenAI Moderation v1 (007)
Violence > Graphic
0.0342875428
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0042500415
OpenAI Moderation v1 (007)
Sexual > Minors
0.0013727687
OpenAI Moderation v1 (007)
Hate > Threatening
0.0004972897
OpenAI Moderation v1 (007)
Self-Harm
0.000151068
OpenAI Moderation v1 (007)
Self-Harm > Intent
4.42387E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.2079E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Social Issue > Abusive Behavior
Score:
100
Magnitude:
0.163
Code:
14022000
Url:
https://cv.iptc.org/newscodes/subjectcode/14022000
Wikidata_id:
Q600571
Wikidata_label:
abuse
Source:
IPTC Subject
Topic:
Economy, Business and Finance
Score:
67
Magnitude:
0.109
Code:
4000000
Url:
https://cv.iptc.org/newscodes/subjectcode/04000000
Wikidata_id:
Q159810
Wikidata_label:
economy
Source:
IPTC Subject
Topic:
Economy, Business and Finance > Economy (General)
Score:
67
Magnitude:
0.109
Code:
4017000
Url:
https://cv.iptc.org/newscodes/subjectcode/04017000
Wikidata_id:
Q159810
Wikidata_label:
economy
Source:
IPTC Subject
Topic:
Politics > Government
Score:
67
Magnitude:
0.109
Code:
11006000
Url:
https://cv.iptc.org/newscodes/subjectcode/11006000
Wikidata_id:
Q7188
Wikidata_label:
government
Source:
IPTC Subject
Topic:
Crime, Law and Justice > Justice and Rights
Score:
57
Magnitude:
0.092
Code:
2007000
Url:
https://cv.iptc.org/newscodes/subjectcode/02007000
Wikidata_id:
Q5167661
Wikidata_label:
justice
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
6.4
Flesch-Kincaid Ease
75.3
Gunning-Fog Score
10.2
Coleman-Liau Index
9.3
SMOG Index
10.5
Automated Readability Index
6
Dale-Chall Readability Score
3.6
Sprache Readability Score
5
Dale-Chall Difficult Word Score
53
Sprache Difficult Word Count
60
Donald Trump
00:25:16-00:25:39 (23 sec)No StressLens
Well, I think the accelerated depreciation and the shortening of schedules is very important in terms of getting something done. And, again, we really need something going now. You can come back in 2 or 3 years, if it starts moving, and you can terminate that. But you have to get something going. If it is not started soon, we are just going to be in a free-for-all.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
-0.33333
Somewhat Negative
Harvard-IV (Absolute)
-0.33333
Somewhat Negative
Harvard-IV (Logit)
-0.58779
VADER
0.488
Positive
Moderation
Violence
0.0282066583
OpenAI Moderation v1 (007)
Harassment
0.0060860264
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0060037397
OpenAI Moderation v1 (007)
Violence > Graphic
0.0033904616
OpenAI Moderation v1 (007)
Hate
0.0014804868
OpenAI Moderation v1 (007)
Self-Harm
0.0011026634
OpenAI Moderation v1 (007)
Sexual
0.0007791017
OpenAI Moderation v1 (007)
Hate > Threatening
7.02146E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
6.36712E-5
OpenAI Moderation v1 (007)
Sexual > Minors
4.20003E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.5598E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
5.9
Flesch-Kincaid Ease
77.8
Gunning-Fog Score
10.7
Coleman-Liau Index
8.2
SMOG Index
10.9
Automated Readability Index
4.7
Dale-Chall Readability Score
2
Sprache Readability Score
3.3
Dale-Chall Difficult Word Score
6
Sprache Difficult Word Count
12
Jerry Huckaby
00:25:39-00:26:17 (38 sec)No StressLens
I agree with you that there is probably an infinite demand for housing out there and that we certainly should change our tax laws to encourage investment there, from low-income housing all the way up the scale. But you have suggested a new twist here that is necessary to raise the top tax bracket from the 31 to 33 percent up to 40 or 50 percent, and in order to encourage people to invest in these areas. Is that really correct? If we had the passive losses and the accelerated depreciation and one could anticipate future increases in the value, do you think it is necessary to increase the tax rate?
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
-0.09091
Neutral
Harvard-IV (Absolute)
-0.09091
Neutral
Harvard-IV (Logit)
-0.16705
VADER
0.932
Very Positive
Moderation
Harassment
0.1342345844
OpenAI Moderation v1 (007)
Violence
0.0630811031
OpenAI Moderation v1 (007)
Hate
0.0134834278
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0114673596
OpenAI Moderation v1 (007)
Violence > Graphic
0.0074216739
OpenAI Moderation v1 (007)
Sexual
0.0007454278
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.000626807
OpenAI Moderation v1 (007)
Self-Harm
0.0004785815
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0003918968
OpenAI Moderation v1 (007)
Hate > Threatening
0.0002408024
OpenAI Moderation v1 (007)
Sexual > Minors
9.98065E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance
Score:
100
Magnitude:
0.146
Code:
4000000
Url:
https://cv.iptc.org/newscodes/subjectcode/04000000
Wikidata_id:
Q159810
Wikidata_label:
economy
Source:
IPTC Subject
Topic:
Crime, Law and Justice > Justice and Rights
Score:
61
Magnitude:
0.089
Code:
2007000
Url:
https://cv.iptc.org/newscodes/subjectcode/02007000
Wikidata_id:
Q5167661
Wikidata_label:
justice
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
58.3
Gunning-Fog Score
16.2
Coleman-Liau Index
9.3
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
4.8
Sprache Readability Score
5
Dale-Chall Difficult Word Score
24
Sprache Difficult Word Count
29
Donald Trump
00:26:17-00:27:14 (57 sec)No StressLens
I think it would be a big help for the upper-income taxpayer to have incentive rather than paying taxes to invest. I think that the accelerated depreciation, depreciation schedules being shortened, would be a tremendous help for the obvious reason, that you would be able to get, assuming the active passive and assuming the right to syndicate, you would be able to get investors to come into real estate transactions. And I am not talking about only new building. I am talking about existing. Because you have existing buildings with mortgages on them where the mortgages are coming due, and there is no bank in the world-I am talking good buildings that are making money-there is no bank in the world that will give you refinancin you could bring in equity money through syndication, that would be a great thing, that would be a really great thing, because you would open up the liquidity of the system so that banks can loan not only to real estate but to other things. If you brought in noninterest-bearing equity, that would be a tremendously positive boost for the economy. ,
Sentiment
Loughran McDonald (Relative)
0.71429
Very Positive
Loughran McDonald (Absolute)
0.71429
Very Positive
Loughran McDonald (Logit)
1.46634
Harvard-IV (Relative)
0.53846
Very Positive
Harvard-IV (Absolute)
0.53846
Very Positive
Harvard-IV (Logit)
1.14862
VADER
0.964
Very Positive
Moderation
Harassment
0.0041792446
OpenAI Moderation v1 (007)
Hate
0.003328532
OpenAI Moderation v1 (007)
Violence
0.0020048903
OpenAI Moderation v1 (007)
Violence > Graphic
0.0016525086
OpenAI Moderation v1 (007)
Sexual
0.0015674743
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0013615248
OpenAI Moderation v1 (007)
Self-Harm
0.000191253
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001141913
OpenAI Moderation v1 (007)
Hate > Threatening
4.27938E-5
OpenAI Moderation v1 (007)
Sexual > Minors
2.65647E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
7.1261E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance > Construction and Property
Score:
100
Magnitude:
1
Code:
4004000
Url:
https://cv.iptc.org/newscodes/subjectcode/04004000
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
43.9
Gunning-Fog Score
18.2
Coleman-Liau Index
11.1
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
4.9
Sprache Readability Score
5
Dale-Chall Difficult Word Score
40
Sprache Difficult Word Count
43
Jerry Huckaby
00:27:14-00:27:20 (6 sec)No StressLens
How high do you think you would have to take the top tax brackets in order to make this happrr.2?
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.33333
Somewhat Positive
Harvard-IV (Absolute)
0.33333
Somewhat Positive
Harvard-IV (Logit)
0.51083
VADER
0.202
Slightly Positive
Moderation
Violence
0.4732219037
OpenAI Moderation v1 (007)
Harassment
0.3049050923
OpenAI Moderation v1 (007)
Harassment > Threatening
0.1225369051
OpenAI Moderation v1 (007)
Sexual
0.0903071486
OpenAI Moderation v1 (007)
Violence > Graphic
0.0288161595
OpenAI Moderation v1 (007)
Hate
0.0207240504
OpenAI Moderation v1 (007)
Self-Harm
0.0132189118
OpenAI Moderation v1 (007)
Hate > Threatening
0.0094588366
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0071581497
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0043664819
OpenAI Moderation v1 (007)
Sexual > Minors
0.0039393119
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
0.9
Flesch-Kincaid Ease
100
Gunning-Fog Score
4.2
Coleman-Liau Index
5.2
SMOG Index
3.3
Automated Readability Index
0.6
Dale-Chall Readability Score
2
Sprache Readability Score
2.2
Dale-Chall Difficult Word Score
2
Sprache Difficult Word Count
3
Donald Trump
00:27:20-00:27:49 (29 sec)No StressLens
The higher it is, the more incentive there would be. I guess it was 50 and 60 at one point, and it ,. s, obviously, even higher than that. But the higher it is, the more incentive. I don't mean middle income or low income. Anybody that could stay the same would be lowered. I am talking about the people that are making a great deal of money should have an incentive to invest, and I know it was 50, and I am talking about a substantial increase, with the ability to get it down to the minimum number.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.09861
Harvard-IV (Relative)
0.42857
Positive
Harvard-IV (Absolute)
0.42857
Positive
Harvard-IV (Logit)
0.78846
VADER
0.935
Very Positive
Moderation
Harassment
0.3069088329
OpenAI Moderation v1 (007)
Hate
0.0266311283
OpenAI Moderation v1 (007)
Self-Harm
0.0126109808
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0090600945
OpenAI Moderation v1 (007)
Violence
0.0080380123
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0062087012
OpenAI Moderation v1 (007)
Sexual
0.004168637
OpenAI Moderation v1 (007)
Hate > Threatening
0.0010122285
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0006379115
OpenAI Moderation v1 (007)
Violence > Graphic
0.0006010197
OpenAI Moderation v1 (007)
Sexual > Minors
0.0003658776
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance
Score:
100
Magnitude:
0.129
Code:
4000000
Url:
https://cv.iptc.org/newscodes/subjectcode/04000000
Wikidata_id:
Q159810
Wikidata_label:
economy
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
5.8
Flesch-Kincaid Ease
78.7
Gunning-Fog Score
8.9
Coleman-Liau Index
7
SMOG Index
9.4
Automated Readability Index
3.8
Dale-Chall Readability Score
3.3
Sprache Readability Score
3.6
Dale-Chall Difficult Word Score
16
Sprache Difficult Word Count
15
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.60944
VADER
0.361
Somewhat Positive
Moderation
Sexual
0.1938713249
OpenAI Moderation v1 (007)
Violence
0.0150913809
OpenAI Moderation v1 (007)
Violence > Graphic
0.0081853257
OpenAI Moderation v1 (007)
Harassment
0.0039874292
OpenAI Moderation v1 (007)
Sexual > Minors
0.0035734884
OpenAI Moderation v1 (007)
Self-Harm
0.0024369025
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0010450142
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0007299644
OpenAI Moderation v1 (007)
Hate
0.0002498336
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0001573938
OpenAI Moderation v1 (007)
Hate > Threatening
2.71928E-5
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
0
Flesch-Kincaid Ease
100
Gunning-Fog Score
0.8
Coleman-Liau Index
7.6
SMOG Index
3.3
Automated Readability Index
0
Dale-Chall Readability Score
0.1
Sprache Readability Score
0.9
Dale-Chall Difficult Word Score
0
Sprache Difficult Word Count
0
Sentiment
Loughran McDonald (Relative)
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
0.273
Slightly Positive
Moderation
Harassment
0.1604915014
OpenAI Moderation v1 (007)
Violence
0.0601112435
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0598140992
OpenAI Moderation v1 (007)
Hate > Threatening
0.029586599
OpenAI Moderation v1 (007)
Hate
0.0222140006
OpenAI Moderation v1 (007)
Sexual
0.0033717217
OpenAI Moderation v1 (007)
Violence > Graphic
0.0001266578
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0001050229
OpenAI Moderation v1 (007)
Sexual > Minors
6.90198E-5
OpenAI Moderation v1 (007)
Self-Harm
3.71951E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.33418E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Labor > Employment > Occupations
Score:
100
Magnitude:
0.053
Code:
9003004
Url:
https://cv.iptc.org/newscodes/subjectcode/09003004
Wikidata_id:
Q12737077
Wikidata_label:
occupation
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
1
Flesch-Kincaid Ease
91.8
Gunning-Fog Score
5.3
Coleman-Liau Index
5.7
SMOG Index
6.1
Automated Readability Index
0
Dale-Chall Readability Score
8.9
Sprache Readability Score
1.3
Dale-Chall Difficult Word Score
5
Sprache Difficult Word Count
4
Hal Thomas
00:27:55-00:27:59 (4 sec)No StressLens
Thank you, Mr. Chairman. It is a pleasure to meet you, Mr. Trump.
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
0.735
Very Positive
Moderation
Sexual
0.0108194108
OpenAI Moderation v1 (007)
Harassment
0.0063367006
OpenAI Moderation v1 (007)
Violence
0.0044159537
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0011266676
OpenAI Moderation v1 (007)
Violence > Graphic
0.0003946222
OpenAI Moderation v1 (007)
Hate
0.0001281252
OpenAI Moderation v1 (007)
Sexual > Minors
9.30491E-5
OpenAI Moderation v1 (007)
Self-Harm
1.54903E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.9571E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.7555E-6
OpenAI Moderation v1 (007)
Hate > Threatening
2.3912E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Human Interest > People > Celebrity
Score:
100
Magnitude:
0.055
Code:
8003002
Url:
https://cv.iptc.org/newscodes/subjectcode/08003002
Wikidata_id:
Q211236
Wikidata_label:
celebrity
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
0
Flesch-Kincaid Ease
100
Gunning-Fog Score
1.3
Coleman-Liau Index
5.4
SMOG Index
3.3
Automated Readability Index
0
Dale-Chall Readability Score
5
Sprache Readability Score
1.4
Dale-Chall Difficult Word Score
4
Sprache Difficult Word Count
4
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.60944
VADER
0.422
Positive
Moderation
Sexual
0.0513187959
OpenAI Moderation v1 (007)
Violence
0.0175111287
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0049542927
OpenAI Moderation v1 (007)
Harassment
0.004698414
OpenAI Moderation v1 (007)
Violence > Graphic
0.0007398308
OpenAI Moderation v1 (007)
Sexual > Minors
0.0002003473
OpenAI Moderation v1 (007)
Hate
5.13249E-5
OpenAI Moderation v1 (007)
Self-Harm
2.42072E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.15102E-5
OpenAI Moderation v1 (007)
Hate > Threatening
6.7345E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
3.3951E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
0.7
Flesch-Kincaid Ease
97
Gunning-Fog Score
1.6
Coleman-Liau Index
9.2
SMOG Index
3.3
Automated Readability Index
0.6
Dale-Chall Readability Score
0.2
Sprache Readability Score
1.3
Dale-Chall Difficult Word Score
0
Sprache Difficult Word Count
2
Hal Thomas
00:28:02-00:28:53 (51 sec)No StressLens
I have never really heard you in terms of your professional expertise, I have only read about you in terms of other activities, and I have to say that I admire you in terms of your professional expertise. I have been fighting the 1986 tax bill ever since it was passed. I think there were three really pernicious provisions along with all of the other onerous ones. We have been talking about one in particular, changing of the rules, and I will spend some time talking about passive loss in a minute. The second one that we haven't dwelt on was the change which almost invited, literally invited, the American homeowner to exchange equity for debt, because we removed the tax deductibility of consumer debt, and then changed the rules to allow them to squander the equity in their homes.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.60944
Harvard-IV (Relative)
0.23077
Slightly Positive
Harvard-IV (Absolute)
0.23077
Slightly Positive
Harvard-IV (Logit)
0.43532
VADER
-0.459
Negative
Moderation
Harassment
0.3221394029
OpenAI Moderation v1 (007)
Hate
0.0245289004
OpenAI Moderation v1 (007)
Violence
0.0140427481
OpenAI Moderation v1 (007)
Self-Harm
0.0073125586
OpenAI Moderation v1 (007)
Sexual
0.0046586396
OpenAI Moderation v1 (007)
Violence > Graphic
0.0030161691
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0012209234
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0007520714
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0002990831
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001655331
OpenAI Moderation v1 (007)
Hate > Threatening
7.9731E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance
Score:
100
Magnitude:
0.06
Code:
4000000
Url:
https://cv.iptc.org/newscodes/subjectcode/04000000
Wikidata_id:
Q159810
Wikidata_label:
economy
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
47.3
Gunning-Fog Score
16.6
Coleman-Liau Index
10.7
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
4.8
Sprache Readability Score
5
Dale-Chall Difficult Word Score
30
Sprache Difficult Word Count
33
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
Sexual
0.0455828995
OpenAI Moderation v1 (007)
Violence
0.0073260853
OpenAI Moderation v1 (007)
Harassment
0.0059975831
OpenAI Moderation v1 (007)
Hate
0.0041539337
OpenAI Moderation v1 (007)
Violence > Graphic
0.003370468
OpenAI Moderation v1 (007)
Sexual > Minors
0.0016932763
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0015645683
OpenAI Moderation v1 (007)
Self-Harm
0.0002260499
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001055826
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.66909E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.94329E-5
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
0
Gunning-Fog Score
0.4
Coleman-Liau Index
12
SMOG Index
9
Automated Readability Index
12
Dale-Chall Readability Score
10
Sprache Readability Score
0.9
Dale-Chall Difficult Word Score
1
Sprache Difficult Word Count
1
Hal Thomas
00:28:53-00:30:22 (89 sec)No StressLens
And then, thirdly, a point that Mr. Seidman mentioned, that most people don't realize, was the retroactive aspect of that bill, where many people had made decisions about pensions and their retirement tied to real estate in which the Government changed the rules after the fact. You could not believe the decision that the Government made prospectively and, I think, psychologically that significantly damaged us. In terms of passive loss, I know there are a lot of people watching who don't really understand-what we are talking about. We are talking about the rules under which people make decisions to invest their money. There is no question that there were tax strategies built into the code that allowed people to take advantage of so-called shelters. We have talked about the excesses of the early 1980's. The cry for 1986 was, don't let the Tax Code dictate economic behavior. But I think you have quite rightly pointed out that one of the reasons the stock market is overly priced is that, because of the Tax Code, that is the only game in town, that we are dictating economic behavior today. The loss of equity in terms of the homeowner is the Tax Code structure. We are continuing to dictate economic behavior. And I think the thing you have to understand, which I 34 know you appreciate, is that the Tax Code is going to dictate economic behavior. There is no way for it not to, if you have a Tax Code.
Sentiment
Loughran McDonald (Relative)
-0.71429
Very Negative
Loughran McDonald (Absolute)
-0.71429
Very Negative
Loughran McDonald (Logit)
-1.46634
Harvard-IV (Relative)
-0.08108
Neutral
Harvard-IV (Absolute)
-0.08108
Neutral
Harvard-IV (Logit)
-0.15822
VADER
-0.818
Very Negative
Moderation
Hate
0.0981135527
OpenAI Moderation v1 (007)
Harassment
0.0754475768
OpenAI Moderation v1 (007)
Violence
0.018910518
OpenAI Moderation v1 (007)
Sexual
0.015541834
OpenAI Moderation v1 (007)
Violence > Graphic
0.014248048
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0004802238
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001627316
OpenAI Moderation v1 (007)
Self-Harm
5.24912E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.2985E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.8899E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
9.99E-8
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance > Construction and Property
Score:
100
Magnitude:
0.991
Code:
4004000
Url:
https://cv.iptc.org/newscodes/subjectcode/04004000
Source:
IPTC Subject
Topic:
Economy, Business and Finance > Market and Exchange > Securities
Score:
79
Magnitude:
0.787
Code:
4009003
Url:
https://cv.iptc.org/newscodes/subjectcode/04009003
Wikidata_id:
Q169489
Wikidata_label:
security
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
9.5
Flesch-Kincaid Ease
61.5
Gunning-Fog Score
12.5
Coleman-Liau Index
10.5
SMOG Index
12
Automated Readability Index
9.3
Dale-Chall Readability Score
4.9
Sprache Readability Score
5
Dale-Chall Difficult Word Score
62
Sprache Difficult Word Count
55
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
Neutral
Moderation
Sexual
0.0897253049
OpenAI Moderation v1 (007)
Violence
0.0189996019
OpenAI Moderation v1 (007)
Harassment
0.0105831263
OpenAI Moderation v1 (007)
Hate
0.0083685838
OpenAI Moderation v1 (007)
Violence > Graphic
0.0067114321
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0036372832
OpenAI Moderation v1 (007)
Sexual > Minors
0.0036163583
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0001691327
OpenAI Moderation v1 (007)
Self-Harm
0.0001417052
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001105165
OpenAI Moderation v1 (007)
Hate > Threatening
0.0001011134
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
0
Flesch-Kincaid Ease
100
Gunning-Fog Score
1.2
Coleman-Liau Index
5.7
SMOG Index
3.3
Automated Readability Index
0
Dale-Chall Readability Score
0.1
Sprache Readability Score
1
Dale-Chall Difficult Word Score
0
Sprache Difficult Word Count
0
Hal Thomas
00:30:22-00:33:44 (202 sec)No StressLens
And what you have asked for is the Tax Code to create incentives for behavior. I agree with you. The problem is, I think people are overstating the correction necessary for passive loss changes. The bill that I originally sponsored and that I agreed to join in a cosponsor shi with Mike Andrews of has been honed down to only cost about $2.8 billion over 5 problem with the passive loss rules changes, as you well was not just to get rid of tax shelters. That is people who were not materially participating in real estate, like the dentists and the doctors that you have suggested would reinvest, were investing for purposes of tax shelters. There is nothing wrong with allowing them to invest if they believe they can earn an economic gain. You don't have to tilt the Tax Code in their direction if there is an opportunity to make money in the real estate area. The problem with the passive loss rules changes was that people who were literally actively involved in real estate aren't allowed to take losses against their activities. And we railed long and hard-the Chairman is not here-behind closed doors in the committee, whether this provision was put in the bill. It was an attempt by people who did not understand the real world to take an academic definition and stick it into the Tax Code. We have lived under this academic definition, I think, far too long, and I really appreciate your real-world plea that we make the kinds of adjustments that won't lead us to the overexcesses of the early 1980's but will allow those who want to participate and to create an active real estate market to be able to do so. One last comment on depreciation. You need to know that the requirement under the 1986 tax bill was that it be revenue neutral, that we make these multi-billion dollar adjustments within the Tax Code, but that we come out even dollars. The depreciation schedule was literally an accordion that was squeezed or stretched to produce the dollar numbers necessary to make the package revenue neutral. It was not designed to create an honest return on investment in the real world. It was a political gimmick to fill revenue gaps. And I just, I just want to thank you. You have had to live with it. I think the American people have had to live with it far too long. We aren't talking about recreating 60 or 70 percent tax levels to fund a passive loss change. I agree with you. If people are going to have their money eaten up by the Tax Code, they are going to look for ways to invest and make money; incentives need to be built in, they don't need to be built that high. We could use some of that money to adjust the schedule so we don't create a massive tax loss. Your reaction?
Sentiment
Loughran McDonald (Relative)
-0.73333
Very Negative
Loughran McDonald (Absolute)
-0.73333
Very Negative
Loughran McDonald (Logit)
-1.6864
Harvard-IV (Relative)
0.13514
Leans Positive
Harvard-IV (Absolute)
0.13514
Leans Positive
Harvard-IV (Logit)
0.26826
VADER
0.975
Very Positive
Moderation
Hate
0.1015651156
OpenAI Moderation v1 (007)
Harassment
0.0362872757
OpenAI Moderation v1 (007)
Violence
0.0163856079
OpenAI Moderation v1 (007)
Sexual
0.0068379166
OpenAI Moderation v1 (007)
Violence > Graphic
0.0059465496
OpenAI Moderation v1 (007)
Self-Harm
0.0032709006
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0010628472
OpenAI Moderation v1 (007)
Hate > Threatening
0.0007660442
OpenAI Moderation v1 (007)
Sexual > Minors
0.0006867325
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001614159
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.99801E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance > Construction and Property
Score:
100
Magnitude:
1
Code:
4004000
Url:
https://cv.iptc.org/newscodes/subjectcode/04004000
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
9.4
Flesch-Kincaid Ease
64.6
Gunning-Fog Score
12.1
Coleman-Liau Index
9.6
SMOG Index
11.4
Automated Readability Index
9.2
Dale-Chall Readability Score
4.7
Sprache Readability Score
5
Dale-Chall Difficult Word Score
115
Sprache Difficult Word Count
98
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
0.361
Somewhat Positive
Moderation
Violence
0.0067828507
OpenAI Moderation v1 (007)
Harassment
0.0034347995
OpenAI Moderation v1 (007)
Sexual
0.0011406963
OpenAI Moderation v1 (007)
Hate
0.0011329847
OpenAI Moderation v1 (007)
Violence > Graphic
0.0007937145
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0006981725
OpenAI Moderation v1 (007)
Self-Harm
0.0005292383
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0004261014
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001083242
OpenAI Moderation v1 (007)
Self-Harm > Instructions
9.15868E-5
OpenAI Moderation v1 (007)
Hate > Threatening
6.1506E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
0.5
Flesch-Kincaid Ease
100
Gunning-Fog Score
2.4
Coleman-Liau Index
3.8
SMOG Index
3.3
Automated Readability Index
0
Dale-Chall Readability Score
2.9
Sprache Readability Score
1.5
Dale-Chall Difficult Word Score
1
Sprache Difficult Word Count
2
Hal Thomas
00:33:50-00:35:14 (84 sec)No StressLens
We have over 300 Members who have co-sponsored our passive loss legislation. It is not on the front burner in terms of tax changes. Texas years. The know, What is being contemplated by the committee are political responses of adjustments within brackets to create a, quote, unquote, tax break for the middle class, and if you would urge people who are in the private sector to contact the Chairman of the Ways and Means Committee, Dan Rostenkowski, contact myself-for $3 to $5 billion, I can think of no better immediate shot in the arm for our recovery. It is an enormous advantage, and I agree totally with you, that when you try to construct a model that says it will lose $3 billion to $5 billion in the Tax Code, yes, because we will change definitions in the code. But what we also change is behavior. When that behavior exhibits itself in the real estate market, I also agree with you, there will be billions of dollars of exchange, of circular flow of economic activity, of jobs, and there will be no loss of revenue to the government.
Sentiment
Loughran McDonald (Relative)
-0.14286
Leans Negative
Loughran McDonald (Absolute)
-0.14286
Leans Negative
Loughran McDonald (Logit)
-0.25131
Harvard-IV (Relative)
0.09091
Neutral
Harvard-IV (Absolute)
0.09091
Neutral
Harvard-IV (Logit)
0.17435
VADER
0.655
Very Positive
Moderation
Violence
0.0028910143
OpenAI Moderation v1 (007)
Harassment
0.0022137425
OpenAI Moderation v1 (007)
Sexual
0.0010190851
OpenAI Moderation v1 (007)
Hate
0.0007081404
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0006881079
OpenAI Moderation v1 (007)
Violence > Graphic
0.0003709849
OpenAI Moderation v1 (007)
Hate > Threatening
1.80436E-5
OpenAI Moderation v1 (007)
Sexual > Minors
5.647E-6
OpenAI Moderation v1 (007)
Self-Harm
5.1932E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
8.262E-7
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.674E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance > Construction and Property
Score:
100
Magnitude:
0.519
Code:
4004000
Url:
https://cv.iptc.org/newscodes/subjectcode/04004000
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
53.7
Gunning-Fog Score
15.9
Coleman-Liau Index
9.6
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
5.5
Sprache Readability Score
5
Dale-Chall Difficult Word Score
50
Sprache Difficult Word Count
53
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
Neutral
Moderation
Sexual
0.0200583163
OpenAI Moderation v1 (007)
Harassment
0.0124753846
OpenAI Moderation v1 (007)
Violence
0.0066757762
OpenAI Moderation v1 (007)
Violence > Graphic
0.0021804537
OpenAI Moderation v1 (007)
Sexual > Minors
0.0014748824
OpenAI Moderation v1 (007)
Hate
0.001347584
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0008395333
OpenAI Moderation v1 (007)
Self-Harm
0.0007485045
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0005384489
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0001815265
OpenAI Moderation v1 (007)
Hate > Threatening
9.4613E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
6.6
Flesch-Kincaid Ease
54.7
Gunning-Fog Score
11.6
Coleman-Liau Index
12
SMOG Index
9
Automated Readability Index
5.3
Dale-Chall Readability Score
4.1
Sprache Readability Score
1.2
Dale-Chall Difficult Word Score
1
Sprache Difficult Word Count
1
Hal Thomas
00:35:16-00:35:41 (25 sec)No StressLens
I wish I had a lot of questions for you. You already said everything for me that needed to be said. I just wanted to put it in the context of where we are; a relatively simple change to correct a serious error in the 1986 tax bill could go a long way structural, but I think also psychologically to indicate we are doing something, we do understand the problem, and we are responding.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-2.3979
Harvard-IV (Relative)
-0.11111
Leans Negative
Harvard-IV (Absolute)
-0.11111
Leans Negative
Harvard-IV (Logit)
-0.20067
VADER
-0.572
Very Negative
Moderation
Harassment
0.1223276835
OpenAI Moderation v1 (007)
Violence > Graphic
0.0116890922
OpenAI Moderation v1 (007)
Sexual
0.0105015475
OpenAI Moderation v1 (007)
Violence
0.0079150501
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0064457083
OpenAI Moderation v1 (007)
Self-Harm
0.0052560965
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0046875884
OpenAI Moderation v1 (007)
Hate
0.0017102842
OpenAI Moderation v1 (007)
Sexual > Minors
0.0013027066
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0005218488
OpenAI Moderation v1 (007)
Hate > Threatening
6.26892E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Human Interest > Curiosity
Score:
100
Magnitude:
0.077
Code:
8002000
Url:
https://cv.iptc.org/newscodes/subjectcode/08002000
Wikidata_id:
Q361306
Wikidata_label:
human interest story
Source:
IPTC Subject
Topic:
Sport > Soccer
Score:
98
Magnitude:
0.075
Code:
15054000
Url:
https://cv.iptc.org/newscodes/subjectcode/15054000
Wikidata_id:
Q2736
Wikidata_label:
association football
Source:
IPTC Subject
Topic:
Politics
Score:
75
Magnitude:
0.058
Code:
11000000
Url:
https://cv.iptc.org/newscodes/subjectcode/11000000
Wikidata_id:
Q7163
Wikidata_label:
politics
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
11.3
Flesch-Kincaid Ease
58.3
Gunning-Fog Score
15.8
Coleman-Liau Index
8.1
SMOG Index
12
Automated Readability Index
10
Dale-Chall Readability Score
3.8
Sprache Readability Score
5
Dale-Chall Difficult Word Score
12
Sprache Difficult Word Count
17
Donald Trump
00:35:41-00:36:16 (35 sec)No StressLens
Thank you, Congressman. It is a shame, Congressman, that this very powerful and important industry doesn't have a better lobby, because I watch legislation being lobbied that should never be passed, and it gets passed; and I look at things like this, and as you say, it is on the back burner. And you know how important it is, and the real estate industry is a group of thousands of people, some wealthy, some not wealthy, most not wealthy right now. And I tell you they have absolutely the most pathetic lobby in the history of the U.S. Congress. It is so bad, and I don't know how many of these people behind me are lobbyist, but they are not doing a very good job, I can tell you that.
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)
0.8473
VADER
-0.254
Slightly Negative
Moderation
Harassment
3.613583371
OpenAI Moderation v1 (007)
Hate
0.1548368833
OpenAI Moderation v1 (007)
Sexual
0.0460084353
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0024652629
OpenAI Moderation v1 (007)
Violence
0.0006214466
OpenAI Moderation v1 (007)
Violence > Graphic
0.0004753556
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001228266
OpenAI Moderation v1 (007)
Self-Harm
9.73114E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
4.62981E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.05299E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
5.1311E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance > Construction and Property
Score:
100
Magnitude:
0.227
Code:
4004000
Url:
https://cv.iptc.org/newscodes/subjectcode/04004000
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
7.7
Flesch-Kincaid Ease
73.5
Gunning-Fog Score
10.2
Coleman-Liau Index
8.2
SMOG Index
10.4
Automated Readability Index
7.2
Dale-Chall Readability Score
3.3
Sprache Readability Score
4.6
Dale-Chall Difficult Word Score
20
Sprache Difficult Word Count
20
Hal Thomas
00:36:16-00:36:27 (11 sec)No StressLens
I was just telling the gentleman that if he would appear before the committee, or several others like him, we wouldn't need lobbyists.
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
0.361
Somewhat Positive
Moderation
Harassment
0.4041383043
OpenAI Moderation v1 (007)
Harassment > Threatening
0.1611174084
OpenAI Moderation v1 (007)
Violence
0.0010037605
OpenAI Moderation v1 (007)
Hate
0.0007074829
OpenAI Moderation v1 (007)
Violence > Graphic
3.00773E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.86832E-5
OpenAI Moderation v1 (007)
Self-Harm
1.42015E-5
OpenAI Moderation v1 (007)
Sexual
5.147E-6
OpenAI Moderation v1 (007)
Sexual > Minors
3.3395E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
4.696E-7
OpenAI Moderation v1 (007)
Self-Harm > Instructions
6.26E-8
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
11.3
Flesch-Kincaid Ease
54.8
Gunning-Fog Score
14.4
Coleman-Liau Index
11.8
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
3.2
Sprache Readability Score
3.9
Dale-Chall Difficult Word Score
3
Sprache Difficult Word Count
5
Frank Guarini
00:36:27-00:36:39 (12 sec)No StressLens
The name of the game in Washington is to have an effective lobby, and then you get the laws passed that need to get passed for that particular industry. Mr. John Spratt?
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.09861
Harvard-IV (Relative)
0.14286
Leans Positive
Harvard-IV (Absolute)
0.14286
Leans Positive
Harvard-IV (Logit)
0.25131
VADER
0.494
Positive
Moderation
Harassment
0.0281886721
OpenAI Moderation v1 (007)
Violence
0.0080016631
OpenAI Moderation v1 (007)
Violence > Graphic
0.0026274949
OpenAI Moderation v1 (007)
Hate
0.0026145224
OpenAI Moderation v1 (007)
Sexual
0.0014305845
OpenAI Moderation v1 (007)
Hate > Threatening
0.0012469927
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0009992877
OpenAI Moderation v1 (007)
Sexual > Minors
7.24113E-5
OpenAI Moderation v1 (007)
Self-Harm
4.93649E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.58769E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
3.3109E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Crime, Law and Justice > Justice and Rights
Score:
100
Magnitude:
0.152
Code:
2007000
Url:
https://cv.iptc.org/newscodes/subjectcode/02007000
Wikidata_id:
Q5167661
Wikidata_label:
justice
Source:
IPTC Subject
Topic:
Lifestyle and Leisure > Game
Score:
61
Magnitude:
0.093
Code:
10001000
Url:
https://cv.iptc.org/newscodes/subjectcode/10001000
Wikidata_id:
Q11410
Wikidata_label:
game
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
4.1
Flesch-Kincaid Ease
85
Gunning-Fog Score
8
Coleman-Liau Index
8.8
SMOG Index
9.9
Automated Readability Index
3.6
Dale-Chall Readability Score
5.5
Sprache Readability Score
2.8
Dale-Chall Difficult Word Score
10
Sprache Difficult Word Count
10
John Spratt
00:36:39-00:37:12 (33 sec)No StressLens
Thank you for your testimony. In the interests of time, I have but one question to you. Obviously, you operate on a scale vastly higher than I did when I was involved in real estate investment. When we syndicated a project, what drew the participants and limited partners to the syndication was not just the pass through of losses, but the fact that they could leverage their returns by writing off losses below the actual cash investment. Do you think that is a good rule and should continue?
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-2.19722
Harvard-IV (Relative)
0.16667
Leans Positive
Harvard-IV (Absolute)
0.16667
Leans Positive
Harvard-IV (Logit)
0.31015
VADER
-0.519
Very Negative
Moderation
Violence
0.0182105956
OpenAI Moderation v1 (007)
Hate
0.0076392877
OpenAI Moderation v1 (007)
Harassment
0.0041528801
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0033002685
OpenAI Moderation v1 (007)
Violence > Graphic
0.0028111186
OpenAI Moderation v1 (007)
Sexual
0.0020710813
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0018292374
OpenAI Moderation v1 (007)
Self-Harm
0.0015991884
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0007020161
OpenAI Moderation v1 (007)
Hate > Threatening
0.0002069311
OpenAI Moderation v1 (007)
Sexual > Minors
7.95687E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance > Construction and Property
Score:
100
Magnitude:
0.637
Code:
4004000
Url:
https://cv.iptc.org/newscodes/subjectcode/04004000
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
8.7
Flesch-Kincaid Ease
64
Gunning-Fog Score
12.9
Coleman-Liau Index
10.8
SMOG Index
12
Automated Readability Index
8.6
Dale-Chall Readability Score
4.3
Sprache Readability Score
4.8
Dale-Chall Difficult Word Score
19
Sprache Difficult Word Count
25
Donald Trump
00:37:12-00:38:01 (49 sec)No StressLens
I think it is a rule that works in terms of getting people started, and it certainly had an effect, and it can be limited to an extent if need be, but right now we don't need limits, we need action. If there is no action we are not going to have a real estate industry. I am really talking, to a large extent, because we talked about overbuilding done during the 1980's, but I am really talking about things that are existing, not just for new construction, but things that are existing, because you cannot get financing for any building, now matter how good it is or how good your tenant is, you cannot get financing for it under any circumstances, anybody. If it has real estate associated with, it can you not get financing. And that is a pretty pathetic situation. Maybe that changes, but I think you people are going to be the ones that have to make a change.
Sentiment
Loughran McDonald (Relative)
-0.2
Slightly Negative
Loughran McDonald (Absolute)
-0.2
Slightly Negative
Loughran McDonald (Logit)
-0.33647
Harvard-IV (Relative)
-0.11111
Leans Negative
Harvard-IV (Absolute)
-0.11111
Leans Negative
Harvard-IV (Logit)
-0.21131
VADER
0.676
Very Positive
Moderation
Harassment
0.1973583596
OpenAI Moderation v1 (007)
Hate
0.0401200232
OpenAI Moderation v1 (007)
Violence
0.0174154644
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0062257765
OpenAI Moderation v1 (007)
Sexual
0.0028118508
OpenAI Moderation v1 (007)
Self-Harm
0.000458838
OpenAI Moderation v1 (007)
Violence > Graphic
0.0003866781
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001792047
OpenAI Moderation v1 (007)
Hate > Threatening
7.21404E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.88862E-5
OpenAI Moderation v1 (007)
Sexual > Minors
1.65368E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance > Construction and Property
Score:
100
Magnitude:
1
Code:
4004000
Url:
https://cv.iptc.org/newscodes/subjectcode/04004000
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
56.3
Gunning-Fog Score
15
Coleman-Liau Index
8.6
SMOG Index
12
Automated Readability Index
11.7
Dale-Chall Readability Score
4
Sprache Readability Score
5
Dale-Chall Difficult Word Score
27
Sprache Difficult Word Count
28
John Spratt
00:38:01-00:38:09 (8 sec)No StressLens
The point was, when you described the syndication, you were talking about nearly an all-equity syndication, and I rarely saw an all-equity syndication.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.33333
Somewhat Positive
Harvard-IV (Absolute)
0.33333
Somewhat Positive
Harvard-IV (Logit)
0.51083
VADER
0
Neutral
Moderation
Harassment
0.0102148275
OpenAI Moderation v1 (007)
Hate
0.0101929632
OpenAI Moderation v1 (007)
Violence
0.0021747821
OpenAI Moderation v1 (007)
Self-Harm
0.0013143669
OpenAI Moderation v1 (007)
Violence > Graphic
0.0012016304
OpenAI Moderation v1 (007)
Sexual
0.00028389
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0002198572
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.000189116
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0001609319
OpenAI Moderation v1 (007)
Hate > Threatening
0.0001604799
OpenAI Moderation v1 (007)
Sexual > Minors
7.8425E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
29.2
Gunning-Fog Score
18
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
6.3
Sprache Readability Score
4.2
Dale-Chall Difficult Word Score
8
Sprache Difficult Word Count
6
Donald Trump
00:38:09-00:38:51 (42 sec)No StressLens
I am sorry. I meant there would be a mortgage and a certain amount of debt and there may be 20 or 25 percent of debt infusion. You would have a lower rate of mortgage and 25 percent of essentially interest-free equity. That is a real positive. The bank could make up the other 75 percent, or again, it varies. You could have from 50 to almost a 100 percent, but you could have a large amount of equity infusion, and I think that is a real positive thing. But right now, under the existing laws, you can't do that.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.60944
Harvard-IV (Relative)
0.77778
Very Positive
Harvard-IV (Absolute)
0.77778
Very Positive
Harvard-IV (Logit)
1.7346
VADER
0.671
Very Positive
Moderation
Violence > Graphic
0.0015794893
OpenAI Moderation v1 (007)
Violence
0.0008704025
OpenAI Moderation v1 (007)
Harassment
0.0004175894
OpenAI Moderation v1 (007)
Hate
0.0003162443
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0002348452
OpenAI Moderation v1 (007)
Sexual
0.0001809469
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001753949
OpenAI Moderation v1 (007)
Self-Harm
0.000114144
OpenAI Moderation v1 (007)
Sexual > Minors
4.68704E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.43467E-5
OpenAI Moderation v1 (007)
Hate > Threatening
2.6793E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance > Macro Economics > Interest Rate
Score:
100
Magnitude:
0.269
Code:
4008009
Url:
https://cv.iptc.org/newscodes/subjectcode/04008009
Wikidata_id:
Q179179
Wikidata_label:
interest rate
Source:
IPTC Subject
Topic:
Economy, Business and Finance > Macro Economics > Mortgage
Score:
93
Magnitude:
0.249
Code:
4008022
Url:
https://cv.iptc.org/newscodes/subjectcode/04008022
Wikidata_id:
Q1210094
Wikidata_label:
mortgage loan
Source:
IPTC Subject
Topic:
Economy, Business and Finance > Financial and Business Service > Banking
Score:
68
Magnitude:
0.182
Code:
4006002
Url:
https://cv.iptc.org/newscodes/subjectcode/04006002
Wikidata_id:
Q806718
Wikidata_label:
banking industry
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
5.8
Flesch-Kincaid Ease
79.1
Gunning-Fog Score
9.3
Coleman-Liau Index
6.7
SMOG Index
9.7
Automated Readability Index
3.8
Dale-Chall Readability Score
3.7
Sprache Readability Score
3.6
Dale-Chall Difficult Word Score
19
Sprache Difficult Word Count
15
John Spratt
00:38:51-00:39:10 (19 sec)No StressLens
I have got developer clients who still survived, they think this has been a shakeout and the fit have survived. They look back on the period from 1981 to 1986 who say there are a lot of characters in business who shouldn't have been. They had no economic reality. Would you agree with that assessment?
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)
2.19722
VADER
0.796
Very Positive
Moderation
Harassment
0.3772385418
OpenAI Moderation v1 (007)
Hate
0.1215575496
OpenAI Moderation v1 (007)
Violence
0.0164395824
OpenAI Moderation v1 (007)
Violence > Graphic
0.0045649704
OpenAI Moderation v1 (007)
Sexual
0.0036730289
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0031712694
OpenAI Moderation v1 (007)
Self-Harm
0.0029895828
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0010212567
OpenAI Moderation v1 (007)
Hate > Threatening
0.0002842848
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001347231
OpenAI Moderation v1 (007)
Self-Harm > Instructions
8.69821E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance > Economy (General)
Score:
100
Magnitude:
0.084
Code:
4017000
Url:
https://cv.iptc.org/newscodes/subjectcode/04017000
Wikidata_id:
Q159810
Wikidata_label:
economy
Source:
IPTC Subject
Topic:
Economy, Business and Finance > Macro Economics > Business Enterprises
Score:
64
Magnitude:
0.054
Code:
4008034
Url:
https://cv.iptc.org/newscodes/subjectcode/04008034
Wikidata_id:
Q4830453
Wikidata_label:
business
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
6.1
Flesch-Kincaid Ease
76
Gunning-Fog Score
10.6
Coleman-Liau Index
9.1
SMOG Index
10.8
Automated Readability Index
5.4
Dale-Chall Readability Score
3.8
Sprache Readability Score
3.4
Dale-Chall Difficult Word Score
11
Sprache Difficult Word Count
13
Donald Trump
00:39:10-00:39:24 (14 sec)No StressLens
I would partially. I think there were a lot of good people in the market who got whacked and a lot of bad people who deserved to get whacked.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
-0.6
Very Negative
Harvard-IV (Absolute)
-0.6
Very Negative
Harvard-IV (Logit)
-1.09861
VADER
-0.153
Leans Negative
Moderation
Violence
87.1792137623
OpenAI Moderation v1 (007)
Harassment
7.1293525398
OpenAI Moderation v1 (007)
Harassment > Threatening
4.6273030341
OpenAI Moderation v1 (007)
Hate
0.9871854447
OpenAI Moderation v1 (007)
Violence > Graphic
0.7275812328
OpenAI Moderation v1 (007)
Hate > Threatening
0.3037388669
OpenAI Moderation v1 (007)
Self-Harm
0.0037638027
OpenAI Moderation v1 (007)
Sexual
0.00117563
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0004913485
OpenAI Moderation v1 (007)
Sexual > Minors
1.05658E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.5976E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Social Issue
Score:
100
Magnitude:
0.073
Code:
14000000
Url:
https://cv.iptc.org/newscodes/subjectcode/14000000
Wikidata_id:
Q8425
Wikidata_label:
society
Source:
IPTC Subject
Topic:
Social Issue > People
Score:
96
Magnitude:
0.071
Code:
14024000
Url:
https://cv.iptc.org/newscodes/subjectcode/14024000
Wikidata_id:
Q1156970
Wikidata_label:
humanity
Source:
IPTC Subject
Topic:
Politics
Score:
95
Magnitude:
0.069
Code:
11000000
Url:
https://cv.iptc.org/newscodes/subjectcode/11000000
Wikidata_id:
Q7163
Wikidata_label:
politics
Source:
IPTC Subject
Topic:
Arts, Culture and Entertainment > Mass Media > News Media
Score:
73
Magnitude:
0.054
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 > Culture (General)
Score:
72
Magnitude:
0.053
Code:
1022000
Url:
https://cv.iptc.org/newscodes/subjectcode/01022000
Wikidata_id:
Q11042
Wikidata_label:
culture
Source:
IPTC Subject
Topic:
Sport > Soccer
Score:
72
Magnitude:
0.053
Code:
15054000
Url:
https://cv.iptc.org/newscodes/subjectcode/15054000
Wikidata_id:
Q2736
Wikidata_label:
association football
Source:
IPTC Subject
Topic:
Arts, Culture and Entertainment > Mass Media > Reviews
Score:
70
Magnitude:
0.051
Code:
1026004
Url:
https://cv.iptc.org/newscodes/subjectcode/01026004
Wikidata_id:
Q2018526
Wikidata_label:
arts
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
4.7
Flesch-Kincaid Ease
87.1
Gunning-Fog Score
7.2
Coleman-Liau Index
6.7
SMOG Index
7.3
Automated Readability Index
3.8
Dale-Chall Readability Score
2.9
Sprache Readability Score
2.7
Dale-Chall Difficult Word Score
4
Sprache Difficult Word Count
3
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.09861
VADER
0.361
Somewhat Positive
Moderation
Sexual
0.0809460063
OpenAI Moderation v1 (007)
Harassment
0.0091318449
OpenAI Moderation v1 (007)
Violence
0.0058009009
OpenAI Moderation v1 (007)
Sexual > Minors
0.0014501211
OpenAI Moderation v1 (007)
Violence > Graphic
0.0004753447
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0003459323
OpenAI Moderation v1 (007)
Hate
0.000105318
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.55267E-5
OpenAI Moderation v1 (007)
Self-Harm
1.59198E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.44906E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.5903E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
0
Flesch-Kincaid Ease
99.7
Gunning-Fog Score
0.5
Coleman-Liau Index
10.5
SMOG Index
3.3
Automated Readability Index
0.4
Dale-Chall Readability Score
8
Sprache Readability Score
1
Dale-Chall Difficult Word Score
2
Sprache Difficult Word Count
2
Helen Bentley
00:39:27-00:39:56 (29 sec)No StressLens
Thank you, Mr. Chairman. Mr. Trump, I want to thank you for being here today and for your stand on American manufacturing over the years. I was one of those with Mr. Thomas who early on when the 1986 Tax Act~was under consideration, opposed it. In fact, I described it as, it stinks
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
0.14286
Leans Positive
Harvard-IV (Absolute)
0.14286
Leans Positive
Harvard-IV (Logit)
0.25131
VADER
0.511
Very Positive
Moderation
Harassment
0.8494414389
OpenAI Moderation v1 (007)
Hate
0.0483607
OpenAI Moderation v1 (007)
Violence
0.0043064494
OpenAI Moderation v1 (007)
Sexual
0.0029183124
OpenAI Moderation v1 (007)
Violence > Graphic
0.0020270107
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0011619436
OpenAI Moderation v1 (007)
Sexual > Minors
4.85305E-5
OpenAI Moderation v1 (007)
Self-Harm
2.04346E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.7679E-6
OpenAI Moderation v1 (007)
Hate > Threatening
2.5182E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
9.88E-8
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
3.8
Flesch-Kincaid Ease
81
Gunning-Fog Score
5.3
Coleman-Liau Index
7.9
SMOG Index
7.6
Automated Readability Index
1.4
Dale-Chall Readability Score
4.2
Sprache Readability Score
2.6
Dale-Chall Difficult Word Score
13
Sprache Difficult Word Count
13
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
0.402
Positive
Moderation
Sexual
0.0296391139
OpenAI Moderation v1 (007)
Hate
0.0040291859
OpenAI Moderation v1 (007)
Violence
0.0025166861
OpenAI Moderation v1 (007)
Harassment
0.0016254455
OpenAI Moderation v1 (007)
Violence > Graphic
0.0013355563
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0004342751
OpenAI Moderation v1 (007)
Sexual > Minors
0.0003963514
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0002366772
OpenAI Moderation v1 (007)
Self-Harm
0.0002343076
OpenAI Moderation v1 (007)
Self-Harm > Instructions
9.39255E-5
OpenAI Moderation v1 (007)
Hate > Threatening
2.17331E-5
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
0
Flesch-Kincaid Ease
100
Gunning-Fog Score
0.4
Coleman-Liau Index
1.6
SMOG Index
3.3
Automated Readability Index
0
Dale-Chall Readability Score
0
Sprache Readability Score
0.8
Dale-Chall Difficult Word Score
0
Sprache Difficult Word Count
0
Helen Bentley
00:39:57-00:40:48 (51 sec)No StressLens
It eliminated interest deductions on the purchase of items. And we have a little bank in my area which just this past week has reduced by 1 percent the interest on anybody who wants to buy an American car. The number of phone calls that that bank had had since that ad was put in has been phenomenal. What do you think would happen if efforts were made to push manufacturing upward and which then would help your real estate, et cetera, if we would give some inducements to investment tax credits on American manufactured products?
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.45455
Positive
Harvard-IV (Absolute)
0.45455
Positive
Harvard-IV (Logit)
0.8873
VADER
0.889
Very Positive
Moderation
Harassment
0.0110379908
OpenAI Moderation v1 (007)
Violence
0.0093197639
OpenAI Moderation v1 (007)
Hate
0.0023465922
OpenAI Moderation v1 (007)
Harassment > Threatening
0.002104446
OpenAI Moderation v1 (007)
Violence > Graphic
0.0015708938
OpenAI Moderation v1 (007)
Sexual
0.0003420534
OpenAI Moderation v1 (007)
Self-Harm
7.75151E-5
OpenAI Moderation v1 (007)
Hate > Threatening
5.23242E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
4.41797E-5
OpenAI Moderation v1 (007)
Sexual > Minors
4.02809E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.27354E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance > Construction and Property
Score:
100
Magnitude:
0.676
Code:
4004000
Url:
https://cv.iptc.org/newscodes/subjectcode/04004000
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
11.6
Flesch-Kincaid Ease
54.7
Gunning-Fog Score
14.2
Coleman-Liau Index
10.5
SMOG Index
12
Automated Readability Index
11.6
Dale-Chall Readability Score
5
Sprache Readability Score
5
Dale-Chall Difficult Word Score
23
Sprache Difficult Word Count
25
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.09861
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.09861
VADER
0.44
Positive
Moderation
Sexual
0.0111432499
OpenAI Moderation v1 (007)
Violence > Graphic
0.0068203335
OpenAI Moderation v1 (007)
Violence
0.0058402766
OpenAI Moderation v1 (007)
Harassment
0.0019609653
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0006297838
OpenAI Moderation v1 (007)
Self-Harm
0.0003934659
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001117081
OpenAI Moderation v1 (007)
Hate
0.0001089282
OpenAI Moderation v1 (007)
Sexual > Minors
9.63649E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.08219E-5
OpenAI Moderation v1 (007)
Hate > Threatening
3.7742E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
8.2
Flesch-Kincaid Ease
50.7
Gunning-Fog Score
13.2
Coleman-Liau Index
7
SMOG Index
11.3
Automated Readability Index
0.8
Dale-Chall Readability Score
2.4
Sprache Readability Score
1.8
Dale-Chall Difficult Word Score
1
Sprache Difficult Word Count
2
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
0.296
Slightly Positive
Moderation
Harassment
0.114236353
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0590209325
OpenAI Moderation v1 (007)
Violence
0.0375970296
OpenAI Moderation v1 (007)
Sexual
0.0284121896
OpenAI Moderation v1 (007)
Hate
0.0032485405
OpenAI Moderation v1 (007)
Violence > Graphic
0.000852197
OpenAI Moderation v1 (007)
Sexual > Minors
0.0003240054
OpenAI Moderation v1 (007)
Self-Harm
0.0001818493
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0001422342
OpenAI Moderation v1 (007)
Self-Harm > Intent
5.53528E-5
OpenAI Moderation v1 (007)
Hate > Threatening
5.40709E-5
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
0
Flesch-Kincaid Ease
100
Gunning-Fog Score
1.6
Coleman-Liau Index
4
SMOG Index
3.3
Automated Readability Index
0
Dale-Chall Readability Score
4.1
Sprache Readability Score
1.4
Dale-Chall Difficult Word Score
2
Sprache Difficult Word Count
3
Frank Guarini
00:41:01-00:41:06 (5 sec)No StressLens
I already have a bill in for tax credits, so I agree with you.
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
0.361
Somewhat Positive
Moderation
Violence
0.014524399
OpenAI Moderation v1 (007)
Self-Harm
0.0034733777
OpenAI Moderation v1 (007)
Harassment
0.0029269249
OpenAI Moderation v1 (007)
Violence > Graphic
0.0014672633
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0007959218
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0003317753
OpenAI Moderation v1 (007)
Self-Harm > Instructions
9.96E-5
OpenAI Moderation v1 (007)
Sexual
7.50048E-5
OpenAI Moderation v1 (007)
Sexual > Minors
3.49517E-5
OpenAI Moderation v1 (007)
Hate
3.20797E-5
OpenAI Moderation v1 (007)
Hate > Threatening
6.284E-7
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
5
Flesch-Kincaid Ease
83.9
Gunning-Fog Score
8.5
Coleman-Liau Index
4
SMOG Index
9
Automated Readability Index
1.4
Dale-Chall Readability Score
1.8
Sprache Readability Score
2.7
Dale-Chall Difficult Word Score
1
Sprache Difficult Word Count
4
Helen Bentley
00:41:06-00:41:42 (36 sec)No StressLens
Very good. I need to persuade some of my good Republicans to agree with me on that, too. But I think what one of our problems has been that we talk far too much about free trade instead of fair trade. And as a result, we are all suffering from the negative effects of such free trade. I think some of those behind you are some of the people who have been hurt from the result of one-way free trade, that of exporting jobs overseas. Again, Mr. Trump, thank you for being here today. * I would some day like to pursue your thoughts on manufacturing further.
Sentiment
Loughran McDonald (Relative)
-0.5
Very Negative
Loughran McDonald (Absolute)
-0.5
Very Negative
Loughran McDonald (Logit)
-0.8473
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
0.897
Very Positive
Moderation
Harassment
0.0530214107
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0077695091
OpenAI Moderation v1 (007)
Hate
0.0063692452
OpenAI Moderation v1 (007)
Violence
0.0062783438
OpenAI Moderation v1 (007)
Sexual
0.00409557
OpenAI Moderation v1 (007)
Violence > Graphic
0.0002046498
OpenAI Moderation v1 (007)
Hate > Threatening
7.70289E-5
OpenAI Moderation v1 (007)
Sexual > Minors
4.58463E-5
OpenAI Moderation v1 (007)
Self-Harm
1.67616E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
9.5541E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.622E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance > Economy (General)
Score:
100
Magnitude:
0.093
Code:
4017000
Url:
https://cv.iptc.org/newscodes/subjectcode/04017000
Wikidata_id:
Q159810
Wikidata_label:
economy
Source:
IPTC Subject
Topic:
Social Issue > People
Score:
68
Magnitude:
0.063
Code:
14024000
Url:
https://cv.iptc.org/newscodes/subjectcode/14024000
Wikidata_id:
Q1156970
Wikidata_label:
humanity
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
4.9
Flesch-Kincaid Ease
84.2
Gunning-Fog Score
7.6
Coleman-Liau Index
7.8
SMOG Index
8.6
Automated Readability Index
4.2
Dale-Chall Readability Score
2.7
Sprache Readability Score
3.7
Dale-Chall Difficult Word Score
14
Sprache Difficult Word Count
17
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.09861
VADER
0.361
Somewhat Positive
Moderation
Sexual
0.0924148655
OpenAI Moderation v1 (007)
Harassment
0.0129610315
OpenAI Moderation v1 (007)
Violence
0.0055122749
OpenAI Moderation v1 (007)
Violence > Graphic
0.0006331422
OpenAI Moderation v1 (007)
Sexual > Minors
0.0004808489
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0004280625
OpenAI Moderation v1 (007)
Hate
0.0001729838
OpenAI Moderation v1 (007)
Self-Harm
0.0001506674
OpenAI Moderation v1 (007)
Self-Harm > Intent
4.08508E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.82249E-5
OpenAI Moderation v1 (007)
Hate > Threatening
9.043E-7
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
0
Flesch-Kincaid Ease
100
Gunning-Fog Score
1.2
Coleman-Liau Index
7.7
SMOG Index
3.3
Automated Readability Index
0
Dale-Chall Readability Score
5.4
Sprache Readability Score
1.1
Dale-Chall Difficult Word Score
1
Sprache Difficult Word Count
1
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.09861
VADER
0.361
Somewhat Positive
Moderation
Harassment
0.1183260581
OpenAI Moderation v1 (007)
Violence
0.0146308885
OpenAI Moderation v1 (007)
Violence > Graphic
0.009763884
OpenAI Moderation v1 (007)
Hate
0.0075412354
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0042037871
OpenAI Moderation v1 (007)
Sexual
0.0037036363
OpenAI Moderation v1 (007)
Self-Harm
0.0004216717
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0002880668
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001157534
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001106667
OpenAI Moderation v1 (007)
Hate > Threatening
5.86609E-5
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
0
Flesch-Kincaid Ease
100
Gunning-Fog Score
1
Coleman-Liau Index
8.8
SMOG Index
3.3
Automated Readability Index
0
Dale-Chall Readability Score
9.6
Sprache Readability Score
1.2
Dale-Chall Difficult Word Score
3
Sprache Difficult Word Count
3
Jim Hayes
00:41:47-00:42:36 (49 sec)No StressLens
Thank you, Mr. Trump. I want to take this opportunity to perhaps outline things in a way that might seem sohomoric, but realizing this is an opportunity because of someone with your high profile, to have people who do not deal with financial markets to understand some of the dilemmas we find ourselves in and some of the ways we get out of it. Explain in very simple terms how, an developer, such as yourself, with an idea for a project takes the cost of the project prior to 1986-.-and the impact of that act, takes that project cost, proposes a financing mechanism, and goes about getting investors. Just briefly outline anything, whether it is commercial or residential real estate.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.60944
Harvard-IV (Relative)
-0.11111
Leans Negative
Harvard-IV (Absolute)
-0.11111
Leans Negative
Harvard-IV (Logit)
-0.20067
VADER
0.681
Very Positive
Moderation
Sexual
0.01271441
OpenAI Moderation v1 (007)
Harassment
0.0063328036
OpenAI Moderation v1 (007)
Hate
0.006027651
OpenAI Moderation v1 (007)
Violence
0.0013119249
OpenAI Moderation v1 (007)
Sexual > Minors
0.0003032843
OpenAI Moderation v1 (007)
Harassment > Threatening
0.000219926
OpenAI Moderation v1 (007)
Self-Harm
0.0001689689
OpenAI Moderation v1 (007)
Violence > Graphic
0.0001339561
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001302186
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.84064E-5
OpenAI Moderation v1 (007)
Hate > Threatening
2.83178E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance > Construction and Property
Score:
100
Magnitude:
0.972
Code:
4004000
Url:
https://cv.iptc.org/newscodes/subjectcode/04004000
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
10.4
Flesch-Kincaid Ease
56.3
Gunning-Fog Score
13.7
Coleman-Liau Index
10.7
SMOG Index
12
Automated Readability Index
9.9
Dale-Chall Readability Score
4.1
Sprache Readability Score
5
Dale-Chall Difficult Word Score
24
Sprache Difficult Word Count
32
Donald Trump
00:42:36-00:43:28 (52 sec)No StressLens
That could be a pretty long answer, but just briefly, you conceive of a development on a site. It usually starts with a piece of land. You conceive of this, you go and get your zoning or you have your zoning, you get your architects, your engineers, your planners, you design something you think is going to be nice and economic and all of the things it is supposed to be. You then go out Andget your financing. Ideally, you used to go out and get your financing. Today you don't even think about it. You then go out and get your financing, you build your job, hopefully have your success. You have created a lot of jobs for people that are buying lots of things for their families, including other homes, et cetera, et cetera. That really is the process, but that process is now circumvented because it is impossible to get financing for any development in this country, I would say, right now.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.25
Slightly Positive
Harvard-IV (Absolute)
0.25
Slightly Positive
Harvard-IV (Logit)
0.47957
VADER
0.967
Very Positive
Moderation
Hate
0.0070986083
OpenAI Moderation v1 (007)
Violence
0.0059577993
OpenAI Moderation v1 (007)
Violence > Graphic
0.003681505
OpenAI Moderation v1 (007)
Harassment
0.0020185691
OpenAI Moderation v1 (007)
Sexual
0.0008070251
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0003353764
OpenAI Moderation v1 (007)
Self-Harm
6.68079E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
9.5715E-6
OpenAI Moderation v1 (007)
Sexual > Minors
8.8974E-6
OpenAI Moderation v1 (007)
Hate > Threatening
4.475E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.0788E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance > Economy (General)
Score:
100
Magnitude:
0.133
Code:
4017000
Url:
https://cv.iptc.org/newscodes/subjectcode/04017000
Wikidata_id:
Q159810
Wikidata_label:
economy
Source:
IPTC Subject
Topic:
Economy, Business and Finance > Construction and Property > Design and Engineering
Score:
82
Magnitude:
0.109
Code:
4004007
Url:
https://cv.iptc.org/newscodes/subjectcode/04004007
Wikidata_id:
Q11023
Wikidata_label:
engineering
Source:
IPTC Subject
Topic:
Arts, Culture and Entertainment > Fashion
Score:
79
Magnitude:
0.105
Code:
1007000
Url:
https://cv.iptc.org/newscodes/subjectcode/01007000
Wikidata_id:
Q12684
Wikidata_label:
fashion
Source:
IPTC Subject
Topic:
Crime, Law and Justice > Justice and Rights
Score:
68
Magnitude:
0.091
Code:
2007000
Url:
https://cv.iptc.org/newscodes/subjectcode/02007000
Wikidata_id:
Q5167661
Wikidata_label:
justice
Source:
IPTC Subject
Topic:
Lifestyle and Leisure > Lifestyle (House and Home)
Score:
62
Magnitude:
0.082
Code:
10009000
Url:
https://cv.iptc.org/newscodes/subjectcode/10009000
Source:
IPTC Subject
Topic:
Social Issue > Family
Score:
61
Magnitude:
0.081
Code:
14006000
Url:
https://cv.iptc.org/newscodes/subjectcode/14006000
Wikidata_id:
Q8436
Wikidata_label:
family
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
8.5
Flesch-Kincaid Ease
66.7
Gunning-Fog Score
12.4
Coleman-Liau Index
9.4
SMOG Index
12
Automated Readability Index
7.9
Dale-Chall Readability Score
4
Sprache Readability Score
5
Dale-Chall Difficult Word Score
32
Sprache Difficult Word Count
28
Jim Hayes
00:43:28-00:44:13 (45 sec)No StressLens
Explain to them also that at the end of the trail, when you have an interim lender, someone who gave you a construction loan, and a permanent lender who looked at the project long term, that projects that you did prior to 1986 that were either in the stage of an interim lender or had been completed, that even -though those had been completed and conceived under tax laws that then allowed for depreciation, that it would appear that the loan was economically viable by a loan officer who looked at it, it made sense to them. Explain how even though it was done under previous rules, the subsequent rules were applied to you and the kind of economic impact they had for a completed transaction.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.09861
Harvard-IV (Relative)
0.66667
Very Positive
Harvard-IV (Absolute)
0.66667
Very Positive
Harvard-IV (Logit)
1.43508
VADER
0
Neutral
Moderation
Violence
0.0051934585
OpenAI Moderation v1 (007)
Sexual
0.0015169876
OpenAI Moderation v1 (007)
Violence > Graphic
0.0011212395
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0003335732
OpenAI Moderation v1 (007)
Sexual > Minors
0.0002256084
OpenAI Moderation v1 (007)
Harassment
0.0001956128
OpenAI Moderation v1 (007)
Hate
0.0001443619
OpenAI Moderation v1 (007)
Self-Harm
6.41255E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.60867E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.21578E-5
OpenAI Moderation v1 (007)
Hate > Threatening
6.6122E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance > Macro Economics > Loans
Score:
100
Magnitude:
0.135
Code:
4008021
Url:
https://cv.iptc.org/newscodes/subjectcode/04008021
Wikidata_id:
Q189539
Wikidata_label:
loan
Source:
IPTC Subject
Topic:
Economy, Business and Finance
Score:
50
Magnitude:
0.068
Code:
4000000
Url:
https://cv.iptc.org/newscodes/subjectcode/04000000
Wikidata_id:
Q159810
Wikidata_label:
economy
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
19.3
Gunning-Fog Score
19
Coleman-Liau Index
10.1
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
6.5
Sprache Readability Score
5
Dale-Chall Difficult Word Score
27
Sprache Difficult Word Count
28
Donald Trump
00:44:13-00:45:41 (88 sec)No StressLens
They weren't grandfathered, essentially. You bring up a great point. Because I have never understood how this is possible. I have never understood how somebody throughout this country didn't sue the United States Government and have that overturned. You bhd people, investors, investing over a 10-year period for a set of-under a set of conditions, and this is, as I was talking about, playing the game. We are all playing by a certain set of rules. The rules were changed for the Government but not for us. It was an incredible circumstance that happened. People went bust by the hundreds of thousands. I hope you weren t one of them in terms of that, but obviously you know people who were, they changed the rules on taxes. And you have some incredible situations. People guaranteed personally a stream of payments paid over a 10-year period for perhaps a very good job, like a low income housing development. Nothing wrong with. That is a very positive thing. And after 2 years they got wiped out on the taxes, yet they still owed all of this money, and all of these people had to declare bankruptcy, they couldn't pay it. How it wasn't grandfathered for those people, I have never understood. How it wasn't overturned by the courts-and I am sure many people must have brought lawsuits-is just beyond me, because it is probably the most unfair thing I have seen in terms of business and government. Great point.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.12
Leans Positive
Harvard-IV (Absolute)
0.12
Leans Positive
Harvard-IV (Logit)
0.2318
VADER
0.978
Very Positive
Moderation
Harassment
4.256657511
OpenAI Moderation v1 (007)
Hate
0.3821978811
OpenAI Moderation v1 (007)
Violence
0.0117966207
OpenAI Moderation v1 (007)
Violence > Graphic
0.0061671184
OpenAI Moderation v1 (007)
Sexual
0.0049156275
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0029474677
OpenAI Moderation v1 (007)
Sexual > Minors
0.0002008024
OpenAI Moderation v1 (007)
Self-Harm
5.19786E-5
OpenAI Moderation v1 (007)
Hate > Threatening
2.79309E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
8.1697E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
7.609E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Sport > Tennis
Score:
100
Magnitude:
0.21
Code:
15065000
Url:
https://cv.iptc.org/newscodes/subjectcode/15065000
Wikidata_id:
Q847
Wikidata_label:
tennis
Source:
IPTC Subject
Topic:
Politics > Government
Score:
67
Magnitude:
0.141
Code:
11006000
Url:
https://cv.iptc.org/newscodes/subjectcode/11006000
Wikidata_id:
Q7188
Wikidata_label:
government
Source:
IPTC Subject
Topic:
Economy, Business and Finance
Score:
57
Magnitude:
0.119
Code:
4000000
Url:
https://cv.iptc.org/newscodes/subjectcode/04000000
Wikidata_id:
Q159810
Wikidata_label:
economy
Source:
IPTC Subject
Topic:
Economy, Business and Finance > Company Information > Bankruptcy
Score:
53
Magnitude:
0.112
Code:
4016007
Url:
https://cv.iptc.org/newscodes/subjectcode/04016007
Wikidata_id:
Q152074
Wikidata_label:
bankruptcy
Source:
IPTC Subject
Topic:
Crime, Law and Justice > Judiciary (System of Justice)
Score:
51
Magnitude:
0.108
Code:
2002000
Url:
https://cv.iptc.org/newscodes/subjectcode/02002000
Wikidata_id:
Q105985
Wikidata_label:
judiciary
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
6.8
Flesch-Kincaid Ease
71.1
Gunning-Fog Score
9.6
Coleman-Liau Index
10.4
SMOG Index
10.4
Automated Readability Index
6.5
Dale-Chall Readability Score
3.6
Sprache Readability Score
5
Dale-Chall Difficult Word Score
47
Sprache Difficult Word Count
51
Jim Hayes
00:45:41-00:46:51 (70 sec)No StressLens
And another point, I will be specific and use an office building that I am familiar with, unfortunately, but to make the point with the change in configuration of interest deductions. There was a building in my home town that generated $242,000 in rentals. It had been done through a partnership, not a leverage deal, fully collateralized, 100 percent occupied, not outside investors, only two partners, but because of the change in the 1986 code-the building was completed prior to the 1986 code-the $246,000 was treated all as personal income to the taxpayer, but the interest deduction to the insurance company that financed it was allowed only at $10,000. Whereas the actual economic activity was a slight gain of 10 to $10,000 between rent and debt service. But the tax impact of $240,000, with only a $10,000 deduction, gave an income tax bill of $60,000 or $70,000. And that is what took them down, not a dishonesty, not a deduction, not a building that fell down or one that wasn't occupied.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.60944
Harvard-IV (Relative)
0.27273
Slightly Positive
Harvard-IV (Absolute)
0.27273
Slightly Positive
Harvard-IV (Logit)
0.53408
VADER
0.864
Very Positive
Moderation
Harassment
0.1513620606
OpenAI Moderation v1 (007)
Hate
0.021135206
OpenAI Moderation v1 (007)
Violence
0.0077347351
OpenAI Moderation v1 (007)
Sexual
0.0011606368
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0008117538
OpenAI Moderation v1 (007)
Self-Harm
0.0002503501
OpenAI Moderation v1 (007)
Violence > Graphic
0.0001326685
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.4485E-5
OpenAI Moderation v1 (007)
Sexual > Minors
1.06838E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
8.3499E-6
OpenAI Moderation v1 (007)
Hate > Threatening
3.036E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance
Score:
100
Magnitude:
0.205
Code:
4000000
Url:
https://cv.iptc.org/newscodes/subjectcode/04000000
Wikidata_id:
Q159810
Wikidata_label:
economy
Source:
IPTC Subject
Topic:
Economy, Business and Finance > Economy (General)
Score:
61
Magnitude:
0.125
Code:
4017000
Url:
https://cv.iptc.org/newscodes/subjectcode/04017000
Wikidata_id:
Q159810
Wikidata_label:
economy
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
58.4
Gunning-Fog Score
18.3
Coleman-Liau Index
8
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
4.7
Sprache Readability Score
5
Dale-Chall Difficult Word Score
37
Sprache Difficult Word Count
43
Donald Trump
00:46:51-00:46:59 (8 sec)No StressLens
He did a beautiful job. They did everything right, and they got wiped out.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.09861
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.60944
VADER
0.599
Very Positive
Moderation
Violence
11.8883796036
OpenAI Moderation v1 (007)
Harassment > Threatening
0.5490685813
OpenAI Moderation v1 (007)
Harassment
0.4176831804
OpenAI Moderation v1 (007)
Hate
0.2337663434
OpenAI Moderation v1 (007)
Violence > Graphic
0.2198049799
OpenAI Moderation v1 (007)
Hate > Threatening
0.0113372356
OpenAI Moderation v1 (007)
Sexual
0.0109853929
OpenAI Moderation v1 (007)
Self-Harm
0.0002572933
OpenAI Moderation v1 (007)
Sexual > Minors
4.91364E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
4.20397E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.34201E-5
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
3.2
Flesch-Kincaid Ease
84.9
Gunning-Fog Score
8.5
Coleman-Liau Index
8.6
SMOG Index
9
Automated Readability Index
1.6
Dale-Chall Readability Score
1.5
Sprache Readability Score
1.6
Dale-Chall Difficult Word Score
1
Sprache Difficult Word Count
1
Jim Hayes
00:46:59-00:47:29 (30 sec)No StressLens
That would explain your previous comment about good buildings that had good tenants but lenders don't want them for two reasons. One is because of uncertainty, since people who did good planning and fair planning got killed retroactively, they are not trusting of a government that might not, in search of revenues, do something in addition, even on new buildings coming in, because the rules apply retroactively.
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
-0.367
Somewhat Negative
Moderation
Harassment
0.4849416669
OpenAI Moderation v1 (007)
Violence
0.3886814928
OpenAI Moderation v1 (007)
Hate
0.0677881588
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0276036822
OpenAI Moderation v1 (007)
Violence > Graphic
0.0043375796
OpenAI Moderation v1 (007)
Self-Harm
0.0008998458
OpenAI Moderation v1 (007)
Hate > Threatening
0.0004559217
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0003979703
OpenAI Moderation v1 (007)
Self-Harm > Instructions
9.87679E-5
OpenAI Moderation v1 (007)
Sexual
8.97749E-5
OpenAI Moderation v1 (007)
Sexual > Minors
4.3132E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Social Issue > Missing Person
Score:
100
Magnitude:
0.085
Code:
14017000
Url:
https://cv.iptc.org/newscodes/subjectcode/14017000
Wikidata_id:
Q388505
Wikidata_label:
missing person
Source:
IPTC Subject
Topic:
Politics > Government
Score:
69
Magnitude:
0.058
Code:
11006000
Url:
https://cv.iptc.org/newscodes/subjectcode/11006000
Wikidata_id:
Q7188
Wikidata_label:
government
Source:
IPTC Subject
Topic:
Economy, Business and Finance > Financial and Business Service > Rental Service
Score:
65
Magnitude:
0.055
Code:
4006016
Url:
https://cv.iptc.org/newscodes/subjectcode/04006016
Source:
IPTC Subject
Topic:
Crime, Law and Justice > Crime
Score:
64
Magnitude:
0.054
Code:
2001000
Url:
https://cv.iptc.org/newscodes/subjectcode/02001000
Wikidata_id:
Q83267
Wikidata_label:
crime
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
42.8
Gunning-Fog Score
18.2
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
4.7
Sprache Readability Score
5
Dale-Chall Difficult Word Score
13
Sprache Difficult Word Count
17
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.09861
VADER
0
Neutral
Moderation
Harassment
0.0137786337
OpenAI Moderation v1 (007)
Hate
0.0118557116
OpenAI Moderation v1 (007)
Violence
0.0112435584
OpenAI Moderation v1 (007)
Sexual
0.0068653186
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0031448904
OpenAI Moderation v1 (007)
Violence > Graphic
0.0017489994
OpenAI Moderation v1 (007)
Sexual > Minors
0.001081953
OpenAI Moderation v1 (007)
Self-Harm > Intent
9.61386E-5
OpenAI Moderation v1 (007)
Self-Harm
9.20144E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
8.69719E-5
OpenAI Moderation v1 (007)
Hate > Threatening
3.34296E-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
12
Dale-Chall Readability Score
8
Sprache Readability Score
1.1
Dale-Chall Difficult Word Score
1
Sprache Difficult Word Count
2
Jim Hayes
00:47:31-00:48:15 (44 sec)No StressLens
And secondly, because it doesn't have a collateral value under that circumstance, since it is uncertainty. I will make three points. One is, at no cost to taxpayers. If we do some of the things you have outlined, collateral value will be improved. If a bank is carrying a building such as the one I have described, whether it is interim or permanent, if it is set at a value of $1 million, because of current tax law, if tax law were changed, that building alone might be $3 billion or $4 billion, which on their collateral carried by the bank gives them less pressure from regulators, because asset values would increase, but it doesn't cost the taxpayer or revenue payer one cent.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.09861
Harvard-IV (Relative)
0.23077
Slightly Positive
Harvard-IV (Absolute)
0.23077
Slightly Positive
Harvard-IV (Logit)
0.43532
VADER
0.498
Positive
Moderation
Violence
0.0068303831
OpenAI Moderation v1 (007)
Harassment > Threatening
0.003168446
OpenAI Moderation v1 (007)
Hate
0.0029853489
OpenAI Moderation v1 (007)
Harassment
0.0023741437
OpenAI Moderation v1 (007)
Violence > Graphic
0.0017388229
OpenAI Moderation v1 (007)
Sexual
0.00163933
OpenAI Moderation v1 (007)
Self-Harm
0.0006052675
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0003951674
OpenAI Moderation v1 (007)
Sexual > Minors
0.0003574249
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0001751087
OpenAI Moderation v1 (007)
Hate > Threatening
6.49818E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance > Financial and Business Service > Banking
Score:
100
Magnitude:
0.158
Code:
4006002
Url:
https://cv.iptc.org/newscodes/subjectcode/04006002
Wikidata_id:
Q806718
Wikidata_label:
banking industry
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
11
Flesch-Kincaid Ease
60.1
Gunning-Fog Score
14.7
Coleman-Liau Index
9.8
SMOG Index
12
Automated Readability Index
11.4
Dale-Chall Readability Score
4.7
Sprache Readability Score
5
Dale-Chall Difficult Word Score
27
Sprache Difficult Word Count
31
Donald Trump
00:48:15-00:48:44 (29 sec)No StressLens
You might even make aprofit on RTC after all. You could probably take RTC and end up starting to make some real sales instead of taking away for 5 cents on the dollar. You are selling property that is much better than that. If you made the proper changes in the tax law
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.09861
Harvard-IV (Relative)
0.6
Very Positive
Harvard-IV (Absolute)
0.6
Very Positive
Harvard-IV (Logit)
1.09861
VADER
0.44
Positive
Moderation
Harassment
0.0197092537
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0084683517
OpenAI Moderation v1 (007)
Violence
0.0081511091
OpenAI Moderation v1 (007)
Violence > Graphic
0.003802967
OpenAI Moderation v1 (007)
Hate
0.0030884468
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0005875879
OpenAI Moderation v1 (007)
Sexual
0.0004898751
OpenAI Moderation v1 (007)
Sexual > Minors
0.0002035493
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001278107
OpenAI Moderation v1 (007)
Self-Harm
6.47345E-5
OpenAI Moderation v1 (007)
Hate > Threatening
3.06874E-5
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
Readability
Flesch-Kincaid Grade
5.2
Flesch-Kincaid Ease
81.7
Gunning-Fog Score
7.6
Coleman-Liau Index
7.8
SMOG Index
8.2
Automated Readability Index
4.1
Dale-Chall Readability Score
2.7
Sprache Readability Score
3
Dale-Chall Difficult Word Score
7
Sprache Difficult Word Count
9
Jim Hayes
00:48:44-00:49:24 (40 sec)No StressLens
Secondly, I represent people who are being foreclosed on, who never missed a payment. They have made every monthly payment through other income and this were able to do so, but because the collateral value was depressed, even though they never missed bank payments, those loans are being called because the regulatory scheme is saying, this property is worthless, therefore we are demanding $3 million or $4 million in additional collateral they don't have. And they are being placed either into bankruptcy or tremendous economic adversity, having never missed one monthly or one quarterly payment.
Sentiment
Loughran McDonald (Relative)
-0.66667
Very Negative
Loughran McDonald (Absolute)
-0.66667
Very Negative
Loughran McDonald (Logit)
-1.29928
Harvard-IV (Relative)
-0.25
Slightly Negative
Harvard-IV (Absolute)
-0.25
Slightly Negative
Harvard-IV (Logit)
-0.45199
VADER
-0.887
Very Negative
Moderation
Harassment
0.0475566601
OpenAI Moderation v1 (007)
Hate
0.0401138066
OpenAI Moderation v1 (007)
Violence
0.0110654328
OpenAI Moderation v1 (007)
Violence > Graphic
0.0079060126
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0024518518
OpenAI Moderation v1 (007)
Self-Harm
0.0006395988
OpenAI Moderation v1 (007)
Sexual
0.0006094286
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.00015054
OpenAI Moderation v1 (007)
Hate > Threatening
3.29988E-5
OpenAI Moderation v1 (007)
Sexual > Minors
1.03924E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.00266E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance > Construction and Property
Score:
100
Magnitude:
0.137
Code:
4004000
Url:
https://cv.iptc.org/newscodes/subjectcode/04004000
Source:
IPTC Subject
Topic:
Economy, Business and Finance > Financial and Business Service > Banking
Score:
87
Magnitude:
0.119
Code:
4006002
Url:
https://cv.iptc.org/newscodes/subjectcode/04006002
Wikidata_id:
Q806718
Wikidata_label:
banking industry
Source:
IPTC Subject
Topic:
Economy, Business and Finance > Macro Economics > Loans
Score:
68
Magnitude:
0.093
Code:
4008021
Url:
https://cv.iptc.org/newscodes/subjectcode/04008021
Wikidata_id:
Q189539
Wikidata_label:
loan
Source:
IPTC Subject
Topic:
Economy, Business and Finance > Economy (General)
Score:
51
Magnitude:
0.07
Code:
4017000
Url:
https://cv.iptc.org/newscodes/subjectcode/04017000
Wikidata_id:
Q159810
Wikidata_label:
economy
Source:
IPTC Subject
Topic:
Economy, Business and Finance
Score:
50
Magnitude:
0.069
Code:
4000000
Url:
https://cv.iptc.org/newscodes/subjectcode/04000000
Wikidata_id:
Q159810
Wikidata_label:
economy
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
31.3
Gunning-Fog Score
19
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
5.9
Sprache Readability Score
5
Dale-Chall Difficult Word Score
26
Sprache Difficult Word Count
29
Donald Trump
00:49:24-00:49:33 (9 sec)No StressLens
It is a very unfair circumstance. There are hundreds of thousands-and I guess beyond that-people exactly in that circumstance.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
-1
Very Negative
Harvard-IV (Absolute)
-1
Very Negative
Harvard-IV (Logit)
-1.09861
VADER
-0.521
Very Negative
Moderation
Harassment
0.2494219691
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0766809622
OpenAI Moderation v1 (007)
Violence
0.020420822
OpenAI Moderation v1 (007)
Self-Harm
0.0135852519
OpenAI Moderation v1 (007)
Hate
0.0105919404
OpenAI Moderation v1 (007)
Sexual
0.0054969358
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0023291619
OpenAI Moderation v1 (007)
Violence > Graphic
0.0020627122
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.000310478
OpenAI Moderation v1 (007)
Sexual > Minors
7.26192E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.97093E-5
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
7
Flesch-Kincaid Ease
63.2
Gunning-Fog Score
9.9
Coleman-Liau Index
12
SMOG Index
10.3
Automated Readability Index
7.1
Dale-Chall Readability Score
4.3
Sprache Readability Score
2.4
Dale-Chall Difficult Word Score
5
Sprache Difficult Word Count
6
Jim Hayes
00:49:33-00:50:15 (42 sec)No StressLens
And the second point is on property tax. If we keep current law, we are just not having enough years passed where corporations and individuals are recognizing that if their property is lower because of changes in the tax code, they should go to their assessors, because it lowers the tax receipts and makes them suddenly have to come up with alternative tax packages for their own revenue measures. Is that not--in New York, for example, are there not people trying to get property tax adjusted automatically because of the impact on real estate ventures?
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
-0.23077
Slightly Negative
Harvard-IV (Absolute)
-0.23077
Slightly Negative
Harvard-IV (Logit)
-0.43532
VADER
-0.402
Negative
Moderation
Harassment
0.0323211774
OpenAI Moderation v1 (007)
Hate
0.0068869776
OpenAI Moderation v1 (007)
Violence
0.0043369055
OpenAI Moderation v1 (007)
Violence > Graphic
0.0021174928
OpenAI Moderation v1 (007)
Sexual
0.0006919931
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0005752851
OpenAI Moderation v1 (007)
Self-Harm
0.0005596793
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0002742728
OpenAI Moderation v1 (007)
Sexual > Minors
9.10402E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
5.12324E-5
OpenAI Moderation v1 (007)
Hate > Threatening
3.8012E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance > Construction and Property
Score:
100
Magnitude:
0.994
Code:
4004000
Url:
https://cv.iptc.org/newscodes/subjectcode/04004000
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
43
Gunning-Fog Score
18.6
Coleman-Liau Index
11.9
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
5.5
Sprache Readability Score
5
Dale-Chall Difficult Word Score
24
Sprache Difficult Word Count
26
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
0.0933025265
OpenAI Moderation v1 (007)
Sexual
0.0431814435
OpenAI Moderation v1 (007)
Hate
0.0284891459
OpenAI Moderation v1 (007)
Violence
0.0271088182
OpenAI Moderation v1 (007)
Violence > Graphic
0.0234620064
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0117522046
OpenAI Moderation v1 (007)
Self-Harm
0.0073184812
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0038395352
OpenAI Moderation v1 (007)
Sexual > Minors
0.0038393555
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0029363631
OpenAI Moderation v1 (007)
Hate > Threatening
0.0017381682
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
1.3
Flesch-Kincaid Ease
91
Gunning-Fog Score
1.2
Coleman-Liau Index
11.6
SMOG Index
3.3
Automated Readability Index
2.1
Dale-Chall Readability Score
0.1
Sprache Readability Score
1
Dale-Chall Difficult Word Score
0
Sprache Difficult Word Count
0
Jim Hayes
00:50:17-00:50:50 (33 sec)No StressLens
On economic activity-I come from southwest Louisiana which people refer to as oil and gas community. I used to hear people say constantly we were recession-proof, which I thought was an interesting phrase. I used to hear constantly, I am not in the oil and gas business." Well
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
0.75
Very Positive
Harvard-IV (Absolute)
0.75
Very Positive
Harvard-IV (Logit)
1.60944
VADER
0.586
Very Positive
Moderation
Harassment
0.1157391584
OpenAI Moderation v1 (007)
Hate
0.0094409756
OpenAI Moderation v1 (007)
Violence
0.0016489807
OpenAI Moderation v1 (007)
Violence > Graphic
0.0003919543
OpenAI Moderation v1 (007)
Self-Harm
0.0003623451
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001866257
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0001564627
OpenAI Moderation v1 (007)
Sexual
0.0001001517
OpenAI Moderation v1 (007)
Sexual > Minors
1.47886E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.6642E-6
OpenAI Moderation v1 (007)
Hate > Threatening
9.397E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance > Energy and Resource > Diesel Fuel
Score:
100
Magnitude:
0.323
Code:
4005013
Url:
https://cv.iptc.org/newscodes/subjectcode/04005013
Wikidata_id:
Q38423
Wikidata_label:
diesel
Source:
IPTC Subject
Topic:
Economy, Business and Finance > Energy and Resource > Oil and Gas (Upstream Activities)
Score:
81
Magnitude:
0.26
Code:
4005004
Url:
https://cv.iptc.org/newscodes/subjectcode/04005004
Wikidata_id:
Q2542096
Wikidata_label:
upstream
Source:
IPTC Subject
Topic:
Economy, Business and Finance > Energy and Resource > Oil and Gas (Downstream Activities)
Score:
64
Magnitude:
0.205
Code:
4005003
Url:
https://cv.iptc.org/newscodes/subjectcode/04005003
Wikidata_id:
Q3444730
Wikidata_label:
downstream
Source:
IPTC Subject
Topic:
Economy, Business and Finance > Energy and Resource > Gasoline
Score:
61
Magnitude:
0.196
Code:
4005012
Url:
https://cv.iptc.org/newscodes/subjectcode/04005012
Wikidata_id:
Q39558
Wikidata_label:
gasoline
Source:
IPTC Subject
Topic:
Economy, Business and Finance > Energy and Resource
Score:
59
Magnitude:
0.189
Code:
4005000
Url:
https://cv.iptc.org/newscodes/subjectcode/04005000
Wikidata_id:
Q2151621
Wikidata_label:
energy industry
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
8.2
Flesch-Kincaid Ease
58.8
Gunning-Fog Score
10.6
Coleman-Liau Index
10.2
SMOG Index
11.3
Automated Readability Index
5.6
Dale-Chall Readability Score
4.4
Sprache Readability Score
3.4
Dale-Chall Difficult Word Score
12
Sprache Difficult Word Count
15
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
0.422
Positive
Moderation
Harassment
0.0915028562
OpenAI Moderation v1 (007)
Sexual
0.0593931705
OpenAI Moderation v1 (007)
Violence
0.0111430156
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0027278536
OpenAI Moderation v1 (007)
Violence > Graphic
0.0006923568
OpenAI Moderation v1 (007)
Hate
0.0006544793
OpenAI Moderation v1 (007)
Sexual > Minors
0.0003529291
OpenAI Moderation v1 (007)
Self-Harm
0.0003195427
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001681761
OpenAI Moderation v1 (007)
Self-Harm > Instructions
6.3674E-5
OpenAI Moderation v1 (007)
Hate > Threatening
4.672E-7
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
1.3
Flesch-Kincaid Ease
91
Gunning-Fog Score
1.2
Coleman-Liau Index
5.7
SMOG Index
3.3
Automated Readability Index
0
Dale-Chall Readability Score
0.1
Sprache Readability Score
1.1
Dale-Chall Difficult Word Score
0
Sprache Difficult Word Count
1
Jim Hayes
00:50:52-00:52:00 (68 sec)No StressLens
I am not in the real estate business can't be said, because it is such a large segment that fuels the economy. If you are a shop owner, if you are in medical practice, if you are an attorney, you are in the real estate business, because if your community asn't collapsed, as mine did, it didn't just take down real estate developers, it took down everyone. Three out of four of the kids that go out with graduate degrees from my university leave the State for employment. They didn't have the oil and gas industry either. They weren't realtors, but they can't stay and get a job. For those who think it goes away cyclically, my community has been in the grips of a deep depression for 9 years. It doesn't have a term limitation on depression, and we had better have an affirmative action from Congress or I guarantee you there is no guarantee that New York City won't have 9 years or 19 years or that we will ever turn it around. I would ask if you wouldn't agree with that, and then I will be quiet and hope this time I haven t been too strident.
Sentiment
Loughran McDonald (Relative)
-0.6
Very Negative
Loughran McDonald (Absolute)
-0.6
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
0.17647
Leans Positive
Harvard-IV (Absolute)
0.17647
Leans Positive
Harvard-IV (Logit)
0.33647
VADER
-0.312
Somewhat Negative
Moderation
Harassment
1.818979159
OpenAI Moderation v1 (007)
Hate
0.2306791488
OpenAI Moderation v1 (007)
Violence
0.0148304112
OpenAI Moderation v1 (007)
Sexual
0.0130154745
OpenAI Moderation v1 (007)
Self-Harm
0.0121941113
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0079825943
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0061117455
OpenAI Moderation v1 (007)
Violence > Graphic
0.0045202218
OpenAI Moderation v1 (007)
Sexual > Minors
0.0019674257
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0012148234
OpenAI Moderation v1 (007)
Hate > Threatening
0.0003841065
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance > Construction and Property
Score:
100
Magnitude:
1
Code:
4004000
Url:
https://cv.iptc.org/newscodes/subjectcode/04004000
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
10.6
Flesch-Kincaid Ease
63.9
Gunning-Fog Score
13.8
Coleman-Liau Index
8.2
SMOG Index
12
Automated Readability Index
10.3
Dale-Chall Readability Score
4
Sprache Readability Score
5
Dale-Chall Difficult Word Score
35
Sprache Difficult Word Count
40
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.09861
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.09861
VADER
0.735
Very Positive
Moderation
Violence
0.0236320746
OpenAI Moderation v1 (007)
Sexual
0.0110662229
OpenAI Moderation v1 (007)
Harassment
0.0081193488
OpenAI Moderation v1 (007)
Violence > Graphic
0.0039413331
OpenAI Moderation v1 (007)
Hate
0.0033434968
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0031708187
OpenAI Moderation v1 (007)
Self-Harm
0.0012805816
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0009729247
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001950841
OpenAI Moderation v1 (007)
Self-Harm > Instructions
9.72271E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.83257E-5
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
5.2
Flesch-Kincaid Ease
62.8
Gunning-Fog Score
1.2
Coleman-Liau Index
11.6
SMOG Index
7.3
Automated Readability Index
2.1
Dale-Chall Readability Score
5.4
Sprache Readability Score
1.3
Dale-Chall Difficult Word Score
2
Sprache Difficult Word Count
3
Frank Guarini
00:52:05-00:52:25 (20 sec)No StressLens
I thank the gentleman from Louisiana for the many suggestions he made. Perhaps you would be a great candidate for the Ways and Means Committee. With regard to nonperforming loans, the value to loan ratio should be changed, and many people get trapped because of the banking regulations. They are unfair and unjust. Mr. Thomas.
Sentiment
Loughran McDonald (Relative)
-0.5
Very Negative
Loughran McDonald (Absolute)
-0.5
Very Negative
Loughran McDonald (Logit)
-0.8473
Harvard-IV (Relative)
0.11111
Leans Positive
Harvard-IV (Absolute)
0.11111
Leans Positive
Harvard-IV (Logit)
0.20067
VADER
-0.202
Slightly Negative
Moderation
Harassment
0.0485186814
OpenAI Moderation v1 (007)
Violence > Graphic
0.0245353556
OpenAI Moderation v1 (007)
Sexual
0.0187948608
OpenAI Moderation v1 (007)
Hate
0.012328061
OpenAI Moderation v1 (007)
Violence
0.0094469273
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0042219865
OpenAI Moderation v1 (007)
Sexual > Minors
0.0007539542
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0006406978
OpenAI Moderation v1 (007)
Self-Harm
0.0005845512
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0002311857
OpenAI Moderation v1 (007)
Hate > Threatening
0.0001209987
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance > Macro Economics > Loans
Score:
100
Magnitude:
0.117
Code:
4008021
Url:
https://cv.iptc.org/newscodes/subjectcode/04008021
Wikidata_id:
Q189539
Wikidata_label:
loan
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
6.4
Flesch-Kincaid Ease
65.2
Gunning-Fog Score
8
Coleman-Liau Index
12
SMOG Index
9.9
Automated Readability Index
5.8
Dale-Chall Readability Score
4.5
Sprache Readability Score
3.2
Dale-Chall Difficult Word Score
14
Sprache Difficult Word Count
18
Hal Thomas
00:52:25-00:53:01 (36 sec)No StressLens
Just briefly, a question, Mr. Trump. We have all been wringing our hands about the RTC and the property it has on hand and the inability to move it, taking 5 cents on the dollar. As an investor, what would your opinion be of the Congress making those kinds of changes in the tax code, as you have indicated, passive loss, modified depreciation, and so on, and having the RTC simply batch properties on the basis of some criteria, chronological listing or whatever, some good with the bad, and put them out there, and see what would happen in terms of the market? I think you would move a lot of property that way.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-2.19722
Harvard-IV (Relative)
-0.4
Negative
Harvard-IV (Absolute)
-0.4
Negative
Harvard-IV (Logit)
-0.76214
VADER
-0.153
Leans Negative
Moderation
Harassment
0.0370920141
OpenAI Moderation v1 (007)
Violence
0.0224987554
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0207977864
OpenAI Moderation v1 (007)
Hate
0.0072177143
OpenAI Moderation v1 (007)
Sexual
0.0057832756
OpenAI Moderation v1 (007)
Violence > Graphic
0.0050587762
OpenAI Moderation v1 (007)
Sexual > Minors
0.0004159991
OpenAI Moderation v1 (007)
Hate > Threatening
0.0001406774
OpenAI Moderation v1 (007)
Self-Harm
6.98081E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.44087E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.0505E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance > Construction and Property
Score:
100
Magnitude:
0.193
Code:
4004000
Url:
https://cv.iptc.org/newscodes/subjectcode/04004000
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
9.9
Flesch-Kincaid Ease
65
Gunning-Fog Score
13.3
Coleman-Liau Index
9
SMOG Index
12
Automated Readability Index
9.8
Dale-Chall Readability Score
4.6
Sprache Readability Score
5
Dale-Chall Difficult Word Score
25
Sprache Difficult Word Count
29
Donald Trump
00:53:01-00:53:10 (9 sec)No StressLens
I agree. I think you should make the changes. You shouldn't sell another property. You should make the changes and then sell the property, and then you would get money like you wouldn't believe.
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
0.612
Very Positive
Moderation
Violence
0.0392463029
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0149137093
OpenAI Moderation v1 (007)
Harassment
0.0076531127
OpenAI Moderation v1 (007)
Self-Harm
0.0035353118
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0024247947
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0015118087
OpenAI Moderation v1 (007)
Violence > Graphic
0.0005681508
OpenAI Moderation v1 (007)
Hate
0.0003083328
OpenAI Moderation v1 (007)
Sexual
0.0001324741
OpenAI Moderation v1 (007)
Hate > Threatening
1.39474E-5
OpenAI Moderation v1 (007)
Sexual > Minors
8.0835E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance > Construction and Property
Score:
100
Magnitude:
0.093
Code:
4004000
Url:
https://cv.iptc.org/newscodes/subjectcode/04004000
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
4
Flesch-Kincaid Ease
81.3
Gunning-Fog Score
6.9
Coleman-Liau Index
10.8
SMOG Index
8.2
Automated Readability Index
4.2
Dale-Chall Readability Score
1.4
Sprache Readability Score
2
Dale-Chall Difficult Word Score
2
Sprache Difficult Word Count
4
Hal Thomas
00:53:10-00:53:14 (4 sec)No StressLens
Batch them and let the private sector sort it out.
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)
-1.60944
VADER
0
Neutral
Moderation
Violence
0.0327562739
OpenAI Moderation v1 (007)
Harassment
0.0222420393
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0099637153
OpenAI Moderation v1 (007)
Hate
0.0090586007
OpenAI Moderation v1 (007)
Violence > Graphic
0.0039649327
OpenAI Moderation v1 (007)
Sexual
0.000281723
OpenAI Moderation v1 (007)
Hate > Threatening
8.26477E-5
OpenAI Moderation v1 (007)
Sexual > Minors
3.14402E-5
OpenAI Moderation v1 (007)
Self-Harm
3.03421E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.4818E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
3.8456E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
2.5
Flesch-Kincaid Ease
95.2
Gunning-Fog Score
4
Coleman-Liau Index
7.7
SMOG Index
3.3
Automated Readability Index
2.4
Dale-Chall Readability Score
3.7
Sprache Readability Score
2.2
Dale-Chall Difficult Word Score
2
Sprache Difficult Word Count
4
Donald Trump
00:53:14-00:53:24 (10 sec)No StressLens
I agree with what you just said. But I think you should stop selling property until such time as you straighten out the tax code, because properties are being sold at an artificially low rate because of the tax code.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.60944
Harvard-IV (Relative)
-1
Very Negative
Harvard-IV (Absolute)
-1
Very Negative
Harvard-IV (Logit)
-1.94591
VADER
-0.202
Slightly Negative
Moderation
Violence
0.0063953732
OpenAI Moderation v1 (007)
Harassment
0.0037332818
OpenAI Moderation v1 (007)
Hate
0.0026157995
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0008243781
OpenAI Moderation v1 (007)
Violence > Graphic
0.0007540514
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0002952631
OpenAI Moderation v1 (007)
Self-Harm
0.0002652655
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0001654788
OpenAI Moderation v1 (007)
Sexual
4.62997E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.09096E-5
OpenAI Moderation v1 (007)
Sexual > Minors
1.07804E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance > Construction and Property
Score:
100
Magnitude:
0.189
Code:
4004000
Url:
https://cv.iptc.org/newscodes/subjectcode/04004000
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
8.4
Flesch-Kincaid Ease
70.2
Gunning-Fog Score
11
Coleman-Liau Index
9.8
SMOG Index
10.3
Automated Readability Index
9.1
Dale-Chall Readability Score
3.8
Sprache Readability Score
3.8
Dale-Chall Difficult Word Score
7
Sprache Difficult Word Count
9
Frank Guarini
00:53:24-00:54:23 (59 sec)No StressLens
Donald, the real estate industry is 20 percent of our GNP, employs 8 million people, and I understand, according to a statement you filed contributes $200 billion in tax revenues that's realized nationally. You have spoken up for a very important sector of our economy, and the sector that took the biggest hit in the Tax Reform of 1986, and there are a number of corrections that should be made for the sake of the growth of our economy. Otherwise, it will be too late if we don't move soon. I want to thank you for your insights. I thank you for being here. I hope sometime soon we will have the advantage of your thoughts and your suggestions and your contributions before the Ways and Means Committee, because I think some of the tax suggestions you make have a great deal of validity to them, so I thank you for the hour or so you have spent with us and I wish you well on your way back to New York.
Sentiment
Loughran McDonald (Relative)
0.2
Leans Positive
Loughran McDonald (Absolute)
0.2
Leans Positive
Loughran McDonald (Logit)
0.33647
Harvard-IV (Relative)
0.7
Very Positive
Harvard-IV (Absolute)
0.7
Very Positive
Harvard-IV (Logit)
1.60944
VADER
0.967
Very Positive
Moderation
Sexual
0.0180908683
OpenAI Moderation v1 (007)
Harassment
0.0124407554
OpenAI Moderation v1 (007)
Violence
0.007537561
OpenAI Moderation v1 (007)
Violence > Graphic
0.00223239
OpenAI Moderation v1 (007)
Hate
0.0015798027
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0011406561
OpenAI Moderation v1 (007)
Sexual > Minors
6.80395E-5
OpenAI Moderation v1 (007)
Hate > Threatening
4.45385E-5
OpenAI Moderation v1 (007)
Self-Harm
5.2572E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.2131E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.024E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance > Construction and Property
Score:
100
Magnitude:
0.522
Code:
4004000
Url:
https://cv.iptc.org/newscodes/subjectcode/04004000
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
11.8
Flesch-Kincaid Ease
61.7
Gunning-Fog Score
16.1
Coleman-Liau Index
8.3
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
4.5
Sprache Readability Score
5
Dale-Chall Difficult Word Score
33
Sprache Difficult Word Count
37
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
0.801
Very Positive
Moderation
Sexual
0.1075943001
OpenAI Moderation v1 (007)
Harassment
0.0038866048
OpenAI Moderation v1 (007)
Violence
0.0022318773
OpenAI Moderation v1 (007)
Self-Harm
0.0017161643
OpenAI Moderation v1 (007)
Violence > Graphic
0.0014961905
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0009575899
OpenAI Moderation v1 (007)
Sexual > Minors
0.0008800655
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0002467887
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0002092593
OpenAI Moderation v1 (007)
Hate
6.4965E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.5863E-6
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
1.1
Coleman-Liau Index
8.4
SMOG Index
3.3
Automated Readability Index
0
Dale-Chall Readability Score
0.1
Sprache Readability Score
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 Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.09861
VADER
0.361
Somewhat Positive
Moderation
Sexual
0.0502426992
OpenAI Moderation v1 (007)
Violence > Graphic
0.0020263342
OpenAI Moderation v1 (007)
Violence
0.0020143349
OpenAI Moderation v1 (007)
Harassment
0.0017415612
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0011888629
OpenAI Moderation v1 (007)
Self-Harm
0.000595531
OpenAI Moderation v1 (007)
Sexual > Minors
0.0003046503
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0002463417
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0001769467
OpenAI Moderation v1 (007)
Hate
0.0001406181
OpenAI Moderation v1 (007)
Hate > Threatening
1.801E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
0
Flesch-Kincaid Ease
100
Gunning-Fog Score
0.8
Coleman-Liau Index
7.6
SMOG Index
3.3
Automated Readability Index
0
Dale-Chall Readability Score
0.1
Sprache Readability Score
0.9
Dale-Chall Difficult Word Score
0
Sprache Difficult Word Count
0