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Senate Floor: DEPARTMENTS OF COMMERCE, JUSTICE, AND STATE, THE JUDICIARY AND RELATED AGENCIES APPROPRIATIONS ACT, 2000--Continued

Topics
Entities
Moderation
6 Speakers
Topics
No topics found
Entities
No entities found
Moderation
No moderation found
Speakers
Joe Biden
Joe Biden said 67 sentences of a total of 212 sentences.
32%
Joe Biden said 1391 words of a total of 3522 words.
40%
Jeff Bingaman
Jeff Bingaman said 61 sentences of a total of 212 sentences.
29%
Jeff Bingaman said 1057 words of a total of 3522 words.
31%
Dianne Feinstein
Dianne Feinstein said 38 sentences of a total of 212 sentences.
18%
Dianne Feinstein said 772 words of a total of 3522 words.
22%
Judd Gregg
Judd Gregg said 12 sentences of a total of 212 sentences.
6%
Judd Gregg said 154 words of a total of 3522 words.
5%
The Presiding Officer
The Presiding Officer said 25 sentences of a total of 212 sentences.
12%
The Presiding Officer said 104 words of a total of 3522 words.
3%
Trent Lott
Trent Lott said 2 sentences of a total of 212 sentences.
1%
Trent Lott said 15 words of a total of 3522 words.
1%
Full Transcript

The Presiding Officer

The PRESIDING OFFICER.
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
Violence
0.4146627616
OpenAI Moderation v1 (007)
Violence > Graphic
0.3067676444
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0194025284
OpenAI Moderation v1 (007)
Hate
0.0156123278
OpenAI Moderation v1 (007)
Sexual
0.0122601952
OpenAI Moderation v1 (007)
Harassment
0.0087557004
OpenAI Moderation v1 (007)
Sexual > Minors
0.0030910691
OpenAI Moderation v1 (007)
Self-Harm
0.0019076015
OpenAI Moderation v1 (007)
Hate > Threatening
0.0003502203
OpenAI Moderation v1 (007)
Self-Harm > Intent
3.49441E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.073E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
11.1
Flesch-Kincaid Ease
22
Gunning-Fog Score
1.4
Coleman-Liau Index
12
SMOG Index
11.3
Automated Readability Index
7.9
Dale-Chall Readability Score
6.9
Sprache Readability Score
1.4
Dale-Chall Difficult Word Score
3
Sprache Difficult Word Count
4

Joe Biden

What is the business of the Senate now?
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
Violence
0.4463522695
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0331854535
OpenAI Moderation v1 (007)
Harassment
0.0291817909
OpenAI Moderation v1 (007)
Violence > Graphic
0.0204185621
OpenAI Moderation v1 (007)
Hate
0.0056233421
OpenAI Moderation v1 (007)
Sexual
0.0005374029
OpenAI Moderation v1 (007)
Self-Harm
9.35097E-5
OpenAI Moderation v1 (007)
Hate > Threatening
8.68948E-5
OpenAI Moderation v1 (007)
Sexual > Minors
6.83942E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
7.3458E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.0684E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
2.3
Flesch-Kincaid Ease
93
Gunning-Fog Score
3.2
Coleman-Liau Index
7
SMOG Index
3.3
Automated Readability Index
0.8
Dale-Chall Readability Score
4.3
Sprache Readability Score
1.8
Dale-Chall Difficult Word Score
2
Sprache Difficult Word Count
2

The Presiding Officer

The PRESIDING OFFICER.
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 Negative
Moderation
Harassment
2.251685597
OpenAI Moderation v1 (007)
Violence
0.3443038091
OpenAI Moderation v1 (007)
Hate
0.2834022278
OpenAI Moderation v1 (007)
Violence > Graphic
0.1952946419
OpenAI Moderation v1 (007)
Harassment > Threatening
0.106608693
OpenAI Moderation v1 (007)
Sexual
0.0081991384
OpenAI Moderation v1 (007)
Hate > Threatening
0.000347534
OpenAI Moderation v1 (007)
Self-Harm
0.0001935318
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001569783
OpenAI Moderation v1 (007)
Self-Harm > Instructions
9.8209E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
4.3231E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Law and Crime
Score:
97.654
Magnitude:
76
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
5.6
Flesch-Kincaid Ease
61.8
Gunning-Fog Score
8.3
Coleman-Liau Index
11.1
SMOG Index
9.9
Automated Readability Index
2.2
Dale-Chall Readability Score
5.5
Sprache Readability Score
1.6
Dale-Chall Difficult Word Score
4
Sprache Difficult Word Count
5

Joe Biden

Mr. President, I understand I have a few minutes to speak, and I will take only a few minutes right now and reserve the remainder of the time when I have completed.
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
Neutral
Moderation
Violence
0.0925297558
OpenAI Moderation v1 (007)
Violence > Graphic
0.0235732019
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0074863434
OpenAI Moderation v1 (007)
Harassment
0.0030214429
OpenAI Moderation v1 (007)
Self-Harm
0.0016287024
OpenAI Moderation v1 (007)
Sexual
0.0008635854
OpenAI Moderation v1 (007)
Hate
0.0007283483
OpenAI Moderation v1 (007)
Hate > Threatening
0.0001949981
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001179997
OpenAI Moderation v1 (007)
Sexual > Minors
4.63552E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.24415E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Law and Crime
Score:
98.116
Magnitude:
93
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
6.5
Flesch-Kincaid Ease
76.9
Gunning-Fog Score
10.2
Coleman-Liau Index
7.9
SMOG Index
10.3
Automated Readability Index
5.6
Dale-Chall Readability Score
3.3
Sprache Readability Score
3.1
Dale-Chall Difficult Word Score
5
Sprache Difficult Word Count
6

Joe Biden

I want to be very brief at this point. Mr. President, I want to separate out two aspects of the Gregg amendment: One I wish to compliment him on, and one I am going to remain silent on. The one part I want to compliment him on is that I think the reauthorization of the violent crime trust fund for another 5 years is the single-most significant thing we could do to continue the war on crime.
Sentiment
Loughran McDonald (Relative)
-0.2
Slightly Negative
Loughran McDonald (Absolute)
-0.2
Slightly Negative
Loughran McDonald (Logit)
-0.33647
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
-0.226
Slightly Negative
Moderation
Harassment
29.6688050032
OpenAI Moderation v1 (007)
Violence
4.3797813356
OpenAI Moderation v1 (007)
Harassment > Threatening
2.472249791
OpenAI Moderation v1 (007)
Hate
0.825412292
OpenAI Moderation v1 (007)
Violence > Graphic
0.3355417168
OpenAI Moderation v1 (007)
Hate > Threatening
0.0022959714
OpenAI Moderation v1 (007)
Sexual
0.0017787439
OpenAI Moderation v1 (007)
Sexual > Minors
0.0004407128
OpenAI Moderation v1 (007)
Self-Harm
0.0003792266
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.0381E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
8.3426E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Law and Crime
Score:
97.994
Magnitude:
93
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
7.7
Flesch-Kincaid Ease
74.2
Gunning-Fog Score
12.4
Coleman-Liau Index
7.4
SMOG Index
11.8
Automated Readability Index
6.9
Dale-Chall Readability Score
4
Sprache Readability Score
4.4
Dale-Chall Difficult Word Score
15
Sprache Difficult Word Count
17

Joe Biden

In 1994, when we introduced the Biden crime bill, which eventually became the crime bill of 1994 which had the 100,000 cops in it, the Violence Against Women Act, and many other things, toward the end of that debate, with the significant help of the senior Senator from Texas, Mr. Gramm, who didn't like many aspects of my bill, and the senior Senator from West Virginia, Mr. Byrd, who did like the bill, we all agreed on what was viewed as sort of a revolutionary idea -- that crime control was the single-most undisputable responsibility of the Federal Government domestically. We can argue about whether there should be welfare. We can argue about whether we should be involved in education. But no one can argue about the requirement of the Government of the United States to make the streets safe. That is the starting point for all ordered society.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-2.70805
Harvard-IV (Relative)
-0.04762
Neutral
Harvard-IV (Absolute)
-0.04762
Neutral
Harvard-IV (Logit)
-0.09097
VADER
-0.892
Very Negative
Moderation
Violence
0.0979283941
OpenAI Moderation v1 (007)
Harassment
0.0245350529
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0066657827
OpenAI Moderation v1 (007)
Violence > Graphic
0.0055985471
OpenAI Moderation v1 (007)
Hate
0.0049171649
OpenAI Moderation v1 (007)
Sexual
0.001023103
OpenAI Moderation v1 (007)
Self-Harm
0.0002999294
OpenAI Moderation v1 (007)
Sexual > Minors
5.83239E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
4.24382E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.30664E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.08343E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Labor
Score:
43.293
Magnitude:
67
Code:
5
Url:
https://fsc.al/cap-mc#5
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
10.9
Flesch-Kincaid Ease
54.8
Gunning-Fog Score
12
Coleman-Liau Index
10.4
SMOG Index
12
Automated Readability Index
10.3
Dale-Chall Readability Score
5.5
Sprache Readability Score
5
Dale-Chall Difficult Word Score
42
Sprache Difficult Word Count
40

Joe Biden

So we had an idea, and the three of us joined together to set up a violent crime trust fund. The way we did that was not to raise taxes for America because everybody kept saying: Biden, your bill, over the next 5 years, is going to cost over $30 billion. They were right. Putting 100,000 cops on the street costs a lot. Building thousands of new prison cells costs a lot. Spending money on prevention costs a lot. The total of the Biden crime bill was about $30 billion over 5 years in 1994 when I introduced it.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-2.19722
Harvard-IV (Relative)
-0.53846
Very Negative
Harvard-IV (Absolute)
-0.53846
Very Negative
Harvard-IV (Logit)
-1.09861
VADER
-0.898
Very Negative
Moderation
Harassment
1.3145015575
OpenAI Moderation v1 (007)
Harassment > Threatening
0.3074125852
OpenAI Moderation v1 (007)
Violence
0.1889794017
OpenAI Moderation v1 (007)
Violence > Graphic
0.065878476
OpenAI Moderation v1 (007)
Hate
0.015046967
OpenAI Moderation v1 (007)
Sexual
0.0084956984
OpenAI Moderation v1 (007)
Self-Harm
0.0056236695
OpenAI Moderation v1 (007)
Sexual > Minors
0.0003846299
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001711924
OpenAI Moderation v1 (007)
Hate > Threatening
0.0001145504
OpenAI Moderation v1 (007)
Self-Harm > Instructions
5.81687E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Law and Crime
Score:
98.014
Magnitude:
106
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
5.3
Flesch-Kincaid Ease
82.4
Gunning-Fog Score
8.9
Coleman-Liau Index
6.7
SMOG Index
9.7
Automated Readability Index
3.8
Dale-Chall Readability Score
3.6
Sprache Readability Score
4.4
Dale-Chall Difficult Word Score
18
Sprache Difficult Word Count
25

Joe Biden

They said: How are we going to pay for it? None of us likes telling the citizens the truth. We all like lying to you, telling you we are going to find a magic way to do this that is not going to cost you any money. The American public wants safer streets, and they have gotten them, I might add. Crime has gone down significantly every year since the crime bill was introduced. I am not claiming it is only because of that, but it is in large part because of that.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-2.19722
Harvard-IV (Relative)
0.11111
Leans Positive
Harvard-IV (Absolute)
0.11111
Leans Positive
Harvard-IV (Logit)
0.20067
VADER
-0.434
Negative
Moderation
Harassment
0.0714703987
OpenAI Moderation v1 (007)
Violence
0.0608839735
OpenAI Moderation v1 (007)
Violence > Graphic
0.0061890583
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0051670537
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0023284134
OpenAI Moderation v1 (007)
Hate
0.0016241376
OpenAI Moderation v1 (007)
Self-Harm
0.0013398172
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0011981484
OpenAI Moderation v1 (007)
Sexual > Minors
0.0002119884
OpenAI Moderation v1 (007)
Sexual
0.0001229744
OpenAI Moderation v1 (007)
Hate > Threatening
8.55992E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Law and Crime
Score:
74.796
Magnitude:
133
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
5.6
Flesch-Kincaid Ease
82.9
Gunning-Fog Score
7.9
Coleman-Liau Index
7
SMOG Index
8.5
Automated Readability Index
4.6
Dale-Chall Readability Score
2.6
Sprache Readability Score
3.8
Dale-Chall Difficult Word Score
11
Sprache Difficult Word Count
15

Joe Biden

So the way we reached this accord was Senator Gramm, who wanted to see the size of the Federal Government cut even more urgently than -- I will speak for myself -- even more urgently than I did -- we codified, as part of this deal, the agreement that we would let 250,000 Federal employees go. We would shrink the size of the Federal Government. And we did.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.94591
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
0.361
Somewhat Positive
Moderation
Harassment
0.0367455359
OpenAI Moderation v1 (007)
Violence
0.019029445
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0098722325
OpenAI Moderation v1 (007)
Sexual
0.0025585759
OpenAI Moderation v1 (007)
Violence > Graphic
0.001960655
OpenAI Moderation v1 (007)
Sexual > Minors
0.0002949248
OpenAI Moderation v1 (007)
Hate
0.0002920952
OpenAI Moderation v1 (007)
Self-Harm
6.4039E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.08113E-5
OpenAI Moderation v1 (007)
Hate > Threatening
7.4017E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.6405E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Macroeconomics
Score:
89.6
Magnitude:
90
Code:
1
Url:
https://fsc.al/cap-mc#1
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
9.3
Flesch-Kincaid Ease
67.9
Gunning-Fog Score
11.8
Coleman-Liau Index
8.4
SMOG Index
12
Automated Readability Index
8.9
Dale-Chall Readability Score
4.4
Sprache Readability Score
4.5
Dale-Chall Difficult Word Score
14
Sprache Difficult Word Count
14

Joe Biden

The second part of the agreement I wanted was that the paycheck we used to pay the person working in the Justice Department or in the Defense Department or at IRS, who was not going to be rehired, we take John Jones' paycheck and put it into a trust fund to do nothing but deal with violent crime in America. Not an innovative notion -- that concept of a trust fund -- but it is fairly radical in terms of applying a Social Security-type trust fund -- only this does have a lockbox -- a trust fund of dedicated revenues to deal with nothing but crime.
Sentiment
Loughran McDonald (Relative)
-0.6
Very Negative
Loughran McDonald (Absolute)
-0.6
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
0.46667
Positive
Harvard-IV (Absolute)
0.46667
Positive
Harvard-IV (Logit)
0.93827
VADER
0.919
Very Positive
Moderation
Harassment
0.1249281573
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0293262943
OpenAI Moderation v1 (007)
Violence
0.02101891
OpenAI Moderation v1 (007)
Hate
0.0052371943
OpenAI Moderation v1 (007)
Violence > Graphic
0.0021998905
OpenAI Moderation v1 (007)
Sexual
0.001709438
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001872964
OpenAI Moderation v1 (007)
Self-Harm
0.0001172926
OpenAI Moderation v1 (007)
Hate > Threatening
5.57495E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
3.2456E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.28E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Transportation
Score:
34.56
Magnitude:
20
Code:
10
Url:
https://fsc.al/cap-mc#10
Source:
Comparative Agendas
Topic:
Macroeconomics
Score:
22.617
Magnitude:
20
Code:
1
Url:
https://fsc.al/cap-mc#1
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
33
Gunning-Fog Score
19
Coleman-Liau Index
8.9
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
7.5
Sprache Readability Score
5
Dale-Chall Difficult Word Score
32
Sprache Difficult Word Count
32

Joe Biden

The good news about that and the reason I felt so strongly about that at the time I wrote the bill was it is the one place no one can compete. If it is in general funds -- and to people who don't share my view about the single-most important responsibility of Government is to maintain order -- it is in competition. If it is general revenues, the COPS Program or the prevention programs or building prisons is in competition with money for education, money for the space program, money for the Defense Department, and money for every other function of the Government. By having this trust fund, though, it is not in competition with anything. It is there. It is set aside. It is similar to a savings account to fight crime.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.94591
Harvard-IV (Relative)
0.33333
Somewhat Positive
Harvard-IV (Absolute)
0.33333
Somewhat Positive
Harvard-IV (Logit)
0.65393
VADER
-0.535
Very Negative
Moderation
Violence
0.0818924862
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0195413115
OpenAI Moderation v1 (007)
Harassment
0.010833978
OpenAI Moderation v1 (007)
Violence > Graphic
0.0037377275
OpenAI Moderation v1 (007)
Sexual
0.0020993006
OpenAI Moderation v1 (007)
Self-Harm
0.0008673913
OpenAI Moderation v1 (007)
Hate
0.0005634231
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001197987
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.000102342
OpenAI Moderation v1 (007)
Hate > Threatening
2.12253E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.816E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Government Operations
Score:
49.116
Magnitude:
93
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
9.5
Flesch-Kincaid Ease
60.8
Gunning-Fog Score
11.5
Coleman-Liau Index
9.8
SMOG Index
12
Automated Readability Index
8.4
Dale-Chall Readability Score
3.3
Sprache Readability Score
5
Dale-Chall Difficult Word Score
20
Sprache Difficult Word Count
35

Joe Biden

I respectfully suggest that it worked. Now, under the Biden crime bill, which is due to expire this year, the trust fund will end. This special, dedicated pot of money that nobody can compete for, which is not paid for by raising taxes, is paid for by not lowering taxes because it is legitimate to say: Biden, if you eliminate the trust funds, you can take John Jones' paycheck, the guy who left the Treasury Department in 1997, and you can give it back to the taxpayers as a tax cut.
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
0.888
Very Positive
Moderation
Harassment
0.2768380335
OpenAI Moderation v1 (007)
Violence
0.1114363782
OpenAI Moderation v1 (007)
Harassment > Threatening
0.046606391
OpenAI Moderation v1 (007)
Hate
0.0330848445
OpenAI Moderation v1 (007)
Violence > Graphic
0.0039226263
OpenAI Moderation v1 (007)
Sexual
0.00165767
OpenAI Moderation v1 (007)
Self-Harm
0.0001334212
OpenAI Moderation v1 (007)
Hate > Threatening
7.29556E-5
OpenAI Moderation v1 (007)
Sexual > Minors
3.65447E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.52124E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
5.173E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Law and Crime
Score:
78.239
Magnitude:
95
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
59.8
Gunning-Fog Score
15.2
Coleman-Liau Index
8.5
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
5.7
Sprache Readability Score
5
Dale-Chall Difficult Word Score
24
Sprache Difficult Word Count
26

Joe Biden

That is true. But I choose safe streets over tax cuts. The tax cut would be minuscule, I might add.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.60944
Harvard-IV (Relative)
-0.6
Very Negative
Harvard-IV (Absolute)
-0.6
Very Negative
Harvard-IV (Logit)
-1.09861
VADER
0.34
Somewhat Positive
Moderation
Sexual
0.0288259413
OpenAI Moderation v1 (007)
Violence > Graphic
0.021622346
OpenAI Moderation v1 (007)
Violence
0.0054442149
OpenAI Moderation v1 (007)
Sexual > Minors
0.0046553138
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0020431149
OpenAI Moderation v1 (007)
Harassment
0.0015764013
OpenAI Moderation v1 (007)
Self-Harm
0.0004893928
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0003763397
OpenAI Moderation v1 (007)
Hate > Threatening
2.96843E-5
OpenAI Moderation v1 (007)
Hate
2.70472E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.4884E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Law and Crime
Score:
97.278
Magnitude:
95
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
0.6
Flesch-Kincaid Ease
100
Gunning-Fog Score
4.7
Coleman-Liau Index
6.5
SMOG Index
6.6
Automated Readability Index
0
Dale-Chall Readability Score
1.1
Sprache Readability Score
1.7
Dale-Chall Difficult Word Score
1
Sprache Difficult Word Count
3

Joe Biden

So when I heard that my friend from New Hampshire was taking language essentially the same as the Hatch-Biden bill that passed out of here in juvenile justice, the same as the language I have been reintroducing everywhere I can and in every bill I can in the last 4 years, I thought not only is he an enlightened fellow but there has been a bit of an epiphany, that, my Lord, the powerful chairman of the subcommittee of the Appropriations Committee has seen the Lord, has seen the light, and I was overjoyed.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.66667
Very Positive
Harvard-IV (Absolute)
0.66667
Very Positive
Harvard-IV (Logit)
1.29928
VADER
0.934
Very Positive
Moderation
Violence
0.0274860824
OpenAI Moderation v1 (007)
Harassment
0.0079170044
OpenAI Moderation v1 (007)
Violence > Graphic
0.0056529618
OpenAI Moderation v1 (007)
Sexual
0.0046422927
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0019644298
OpenAI Moderation v1 (007)
Hate
0.0007639831
OpenAI Moderation v1 (007)
Self-Harm
9.0542E-5
OpenAI Moderation v1 (007)
Sexual > Minors
3.7021E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.07099E-5
OpenAI Moderation v1 (007)
Hate > Threatening
7.059E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.712E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Law and Crime
Score:
98.161
Magnitude:
116
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
0
Gunning-Fog Score
19
Coleman-Liau Index
9.4
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
7
Sprache Readability Score
5
Dale-Chall Difficult Word Score
14
Sprache Difficult Word Count
21

Joe Biden

So I said to my staff: I am going to go up there and compliment him. Literally, I said this this morning. They said: Don't be so quick. I said: Why? They said: There is a little kicker here. The kicker is once this amendment that you, Biden, have fought so hard for over the last 12 years, even before the crime bill was passed -- once it is adopted, there will be a little amendment attached to it that has to do with the way this place functions procedurally, affecting how we can move substantively.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.2
Leans Positive
Harvard-IV (Absolute)
0.2
Leans Positive
Harvard-IV (Logit)
0.33647
VADER
-0.402
Negative
Moderation
Violence
0.0372550101
OpenAI Moderation v1 (007)
Harassment
0.0102719787
OpenAI Moderation v1 (007)
Sexual
0.009456103
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0076226606
OpenAI Moderation v1 (007)
Violence > Graphic
0.002698834
OpenAI Moderation v1 (007)
Sexual > Minors
0.0014631538
OpenAI Moderation v1 (007)
Hate
0.0007675228
OpenAI Moderation v1 (007)
Self-Harm
0.0001782541
OpenAI Moderation v1 (007)
Hate > Threatening
0.0001278859
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.40867E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.606E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Government Operations
Score:
61.224
Magnitude:
67
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
6.2
Flesch-Kincaid Ease
78.6
Gunning-Fog Score
10.1
Coleman-Liau Index
8.1
SMOG Index
10.3
Automated Readability Index
5.6
Dale-Chall Readability Score
3.4
Sprache Readability Score
4
Dale-Chall Difficult Word Score
16
Sprache Difficult Word Count
17

Joe Biden

I will not speak to that. I will only say and plead with my friend from New Hampshire, if and when the second issue is resolved, however it is resolved, that he not walk away from the substantive beauty of his amendment as it relates to the trust fund. I don't want to get into a fight with him about legislating on appropriations and second amendments and the rest. I want to say to him publicly that I truly appreciate the practical impact of reestablishing the violent crime trust fund, if we can do it.
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
0.896
Very Positive
Moderation
Violence
0.2089858986
OpenAI Moderation v1 (007)
Violence > Graphic
0.1552508445
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0336820813
OpenAI Moderation v1 (007)
Harassment
0.014815641
OpenAI Moderation v1 (007)
Sexual
0.0100941099
OpenAI Moderation v1 (007)
Hate
0.0075967328
OpenAI Moderation v1 (007)
Self-Harm
0.0019641246
OpenAI Moderation v1 (007)
Hate > Threatening
0.000986757
OpenAI Moderation v1 (007)
Sexual > Minors
0.0004097926
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001077922
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.78851E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Law and Crime
Score:
97.004
Magnitude:
112
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
10.6
Flesch-Kincaid Ease
61.6
Gunning-Fog Score
14.1
Coleman-Liau Index
9.2
SMOG Index
12
Automated Readability Index
10.4
Dale-Chall Readability Score
4.5
Sprache Readability Score
5
Dale-Chall Difficult Word Score
20
Sprache Difficult Word Count
21

Joe Biden

I hope in this procedural fight that is above my pay grade right now, which is about to take place, that a casualty of this fight will not end up being us committing for another 5 years to do what we did in the last 5 years -- bringing crime in America down. The way to do that is to guarantee that the law enforcement agencies of the United States for 5 years do not have to compete with anybody, and we don't have to raise anybody's taxes. We are taking those old paychecks, and we are going to continue to make a deposit, similar to a trust fund in a family, for cops, for prisons, and for prevention.
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
0.459
Positive
Moderation
Violence
0.4601612687
OpenAI Moderation v1 (007)
Harassment > Threatening
0.1793481992
OpenAI Moderation v1 (007)
Violence > Graphic
0.1425444614
OpenAI Moderation v1 (007)
Sexual
0.0194062668
OpenAI Moderation v1 (007)
Harassment
0.0193566288
OpenAI Moderation v1 (007)
Hate
0.0094706957
OpenAI Moderation v1 (007)
Self-Harm
0.003285785
OpenAI Moderation v1 (007)
Hate > Threatening
0.0020290337
OpenAI Moderation v1 (007)
Sexual > Minors
0.0011885591
OpenAI Moderation v1 (007)
Self-Harm > Intent
5.04716E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
9.9818E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
51.5
Gunning-Fog Score
19
Coleman-Liau Index
7.6
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
4.6
Sprache Readability Score
5
Dale-Chall Difficult Word Score
20
Sprache Difficult Word Count
29

Judd Gregg

If the Senator will yield, I appreciate the kind words of the Senator, and I am duly thankful for those words. As a result, I can tell the Senator I am committed to trying to get this authorization, in some manner, in this bill when it returns to Congress -- should this bill ever make it to conference, which is very much an issue at this time.
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)
1.22378
VADER
0.818
Very Positive
Moderation
Violence
0.0238090448
OpenAI Moderation v1 (007)
Violence > Graphic
0.0207883088
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0062942177
OpenAI Moderation v1 (007)
Harassment
0.0062436018
OpenAI Moderation v1 (007)
Sexual
0.0057083475
OpenAI Moderation v1 (007)
Hate
0.0008326451
OpenAI Moderation v1 (007)
Sexual > Minors
0.000378374
OpenAI Moderation v1 (007)
Self-Harm
0.0003725886
OpenAI Moderation v1 (007)
Hate > Threatening
3.34709E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.14236E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
8.724E-7
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
55.4
Gunning-Fog Score
15.6
Coleman-Liau Index
8.2
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
5
Sprache Readability Score
5
Dale-Chall Difficult Word Score
14
Sprache Difficult Word Count
14

Joe Biden

I truly appreciate that because I, quite frankly, think -- and this is presumptuous of me to say because you know as much about these issues as I do, clearly -- this is the single-most significant thing we can do to continue the successful fight against crime. I authored it, so you might say there is pride of authorship here. But I didn't do this alone. The distinguished Senator from Texas and the distinguished Senator from West Virginia were really the ones who made it happen. I hope, in a bipartisan way, we can continue the funding mechanism. I thank him for his comments. If I have any time, I reserve it.
Sentiment
Loughran McDonald (Relative)
-0.33333
Somewhat Negative
Loughran McDonald (Absolute)
-0.33333
Somewhat Negative
Loughran McDonald (Logit)
-0.51083
Harvard-IV (Relative)
0.42857
Positive
Harvard-IV (Absolute)
0.42857
Positive
Harvard-IV (Logit)
0.8473
VADER
0.927
Very Positive
Moderation
Violence
0.0582884182
OpenAI Moderation v1 (007)
Harassment
0.0164356024
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0111442692
OpenAI Moderation v1 (007)
Sexual
0.0077248136
OpenAI Moderation v1 (007)
Hate
0.0056456141
OpenAI Moderation v1 (007)
Violence > Graphic
0.0021407943
OpenAI Moderation v1 (007)
Hate > Threatening
0.001453057
OpenAI Moderation v1 (007)
Sexual > Minors
0.0011645795
OpenAI Moderation v1 (007)
Self-Harm
2.4583E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.6368E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.5716E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
8.3
Flesch-Kincaid Ease
63.5
Gunning-Fog Score
10.7
Coleman-Liau Index
9.8
SMOG Index
11.6
Automated Readability Index
7
Dale-Chall Readability Score
4.2
Sprache Readability Score
4.6
Dale-Chall Difficult Word Score
24
Sprache Difficult Word Count
25

Joe Biden

I yield the floor.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
-1
Very Negative
Harvard-IV (Absolute)
-1
Very Negative
Harvard-IV (Logit)
-1.09861
VADER
0
Neutral
Moderation
Sexual
0.0822221395
OpenAI Moderation v1 (007)
Violence
0.0634728291
OpenAI Moderation v1 (007)
Violence > Graphic
0.0115961906
OpenAI Moderation v1 (007)
Hate
0.01122127
OpenAI Moderation v1 (007)
Harassment
0.0089234985
OpenAI Moderation v1 (007)
Sexual > Minors
0.0056819474
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0016613321
OpenAI Moderation v1 (007)
Hate > Threatening
0.0002721599
OpenAI Moderation v1 (007)
Self-Harm
0.0001183003
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.99996E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.78069E-5
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
0
Flesch-Kincaid Ease
100
Gunning-Fog Score
1.6
Coleman-Liau Index
4.7
SMOG Index
3.3
Automated Readability Index
0
Dale-Chall Readability Score
4.1
Sprache Readability Score
1.2
Dale-Chall Difficult Word Score
1
Sprache Difficult Word Count
1

Judd Gregg

Mr. President, I ask unanimous consent that the time continue to run on this amendment equally divided, and I suggest the absence of a quorum.
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
0.226
Slightly Positive
Moderation
Violence > Graphic
0.0263848895
OpenAI Moderation v1 (007)
Violence
0.0239183704
OpenAI Moderation v1 (007)
Harassment
0.0026431897
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0007414681
OpenAI Moderation v1 (007)
Sexual
0.0006727374
OpenAI Moderation v1 (007)
Hate
0.0004567878
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001014501
OpenAI Moderation v1 (007)
Self-Harm
7.19725E-5
OpenAI Moderation v1 (007)
Hate > Threatening
2.77752E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.21067E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
8.17E-7
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
8.6
Flesch-Kincaid Ease
55.4
Gunning-Fog Score
13
Coleman-Liau Index
11
SMOG Index
12
Automated Readability Index
6.3
Dale-Chall Readability Score
7.6
Sprache Readability Score
3
Dale-Chall Difficult Word Score
11
Sprache Difficult Word Count
10

The Presiding Officer

The PRESIDING OFFICER.
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)
1.60944
VADER
0
Neutral
Moderation
Violence
0.0483173382
OpenAI Moderation v1 (007)
Hate
0.0480728253
OpenAI Moderation v1 (007)
Violence > Graphic
0.0188765785
OpenAI Moderation v1 (007)
Harassment
0.0176491012
OpenAI Moderation v1 (007)
Sexual
0.0136190138
OpenAI Moderation v1 (007)
Sexual > Minors
0.0118845979
OpenAI Moderation v1 (007)
Hate > Threatening
0.0085846776
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0032110991
OpenAI Moderation v1 (007)
Self-Harm
0.0008686487
OpenAI Moderation v1 (007)
Self-Harm > Intent
8.1164E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
7.3311E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
8.5
Flesch-Kincaid Ease
42.5
Gunning-Fog Score
6.2
Coleman-Liau Index
12
SMOG Index
10.3
Automated Readability Index
5.9
Dale-Chall Readability Score
5.5
Sprache Readability Score
1.5
Dale-Chall Difficult Word Score
3
Sprache Difficult Word Count
4

The clerk will call the roll.
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
Violence
0.0240059206
OpenAI Moderation v1 (007)
Violence > Graphic
0.0216683882
OpenAI Moderation v1 (007)
Harassment
0.006484209
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0061129227
OpenAI Moderation v1 (007)
Sexual
0.0053442585
OpenAI Moderation v1 (007)
Hate
0.0008921988
OpenAI Moderation v1 (007)
Self-Harm
0.0003996864
OpenAI Moderation v1 (007)
Sexual > Minors
0.0003701181
OpenAI Moderation v1 (007)
Hate > Threatening
3.66321E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.26637E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
9.558E-7
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
0
Flesch-Kincaid Ease
100
Gunning-Fog Score
2.4
Coleman-Liau Index
6.7
SMOG Index
3.3
Automated Readability Index
0
Dale-Chall Readability Score
0.3
Sprache Readability Score
1.5
Dale-Chall Difficult Word Score
0
Sprache Difficult Word Count
1

Judd Gregg

Mr. President, I ask unanimous consent that the order for the quorum call be rescinded.
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
0.226
Slightly Positive
Moderation
Violence > Graphic
0.0120752084
OpenAI Moderation v1 (007)
Violence
0.0115897245
OpenAI Moderation v1 (007)
Sexual
0.0052378837
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0032924378
OpenAI Moderation v1 (007)
Harassment
0.0014990071
OpenAI Moderation v1 (007)
Self-Harm
0.0005807822
OpenAI Moderation v1 (007)
Sexual > Minors
0.0004958359
OpenAI Moderation v1 (007)
Hate
0.0002470518
OpenAI Moderation v1 (007)
Self-Harm > Intent
8.83095E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.01364E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.8204E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
6.2
Flesch-Kincaid Ease
63.9
Gunning-Fog Score
8.3
Coleman-Liau Index
11.6
SMOG Index
9
Automated Readability Index
4.3
Dale-Chall Readability Score
6.7
Sprache Readability Score
2.1
Dale-Chall Difficult Word Score
6
Sprache Difficult Word Count
6

The Presiding Officer

The PRESIDING OFFICER.
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)
1.60944
VADER
0
Neutral
Moderation
Violence
0.0058471313
OpenAI Moderation v1 (007)
Harassment
0.0019614741
OpenAI Moderation v1 (007)
Violence > Graphic
0.0010368909
OpenAI Moderation v1 (007)
Hate
0.0003577864
OpenAI Moderation v1 (007)
Sexual
0.0003248999
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0002675434
OpenAI Moderation v1 (007)
Sexual > Minors
2.72445E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.77789E-5
OpenAI Moderation v1 (007)
Self-Harm
8.7643E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
6.0917E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
9.051E-7
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
8.5
Flesch-Kincaid Ease
42.5
Gunning-Fog Score
6.2
Coleman-Liau Index
12
SMOG Index
10.3
Automated Readability Index
5.9
Dale-Chall Readability Score
5.5
Sprache Readability Score
1.5
Dale-Chall Difficult Word Score
3
Sprache Difficult Word Count
4

Judd Gregg

Mr. President, how much time is left on the amendment?
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
0.0531427853
OpenAI Moderation v1 (007)
Violence
0.0300604588
OpenAI Moderation v1 (007)
Hate
0.0032778451
OpenAI Moderation v1 (007)
Violence > Graphic
0.0025597277
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0010609565
OpenAI Moderation v1 (007)
Sexual
0.0001232055
OpenAI Moderation v1 (007)
Self-Harm
6.66932E-5
OpenAI Moderation v1 (007)
Sexual > Minors
6.51475E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.42511E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
3.40992E-5
OpenAI Moderation v1 (007)
Hate > Threatening
6.18E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Macroeconomics
Score:
67.862
Magnitude:
21
Code:
1
Url:
https://fsc.al/cap-mc#1
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
1.7
Flesch-Kincaid Ease
91.8
Gunning-Fog Score
6
Coleman-Liau Index
8.9
SMOG Index
7.3
Automated Readability Index
0.9
Dale-Chall Readability Score
5
Sprache Readability Score
1.5
Dale-Chall Difficult Word Score
3
Sprache Difficult Word Count
3

The Presiding Officer

The PRESIDING OFFICER.
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
Violence
0.0093882678
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0011788296
OpenAI Moderation v1 (007)
Violence > Graphic
0.0004679552
OpenAI Moderation v1 (007)
Harassment
0.0003778353
OpenAI Moderation v1 (007)
Hate
9.3513E-5
OpenAI Moderation v1 (007)
Sexual
3.18437E-5
OpenAI Moderation v1 (007)
Sexual > Minors
2.13334E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
8.5146E-6
OpenAI Moderation v1 (007)
Hate > Threatening
5.5426E-6
OpenAI Moderation v1 (007)
Self-Harm
5.3764E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.5919E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
6.4
Gunning-Fog Score
7.9
Coleman-Liau Index
12
SMOG Index
10.3
Automated Readability Index
10.7
Dale-Chall Readability Score
5.4
Sprache Readability Score
1.3
Dale-Chall Difficult Word Score
2
Sprache Difficult Word Count
3

Judd Gregg

Mr. President, at the end of that 5 minutes, I understand there will be 20 minutes, 10 minutes for the Senator from South Carolina and 10 minutes for myself.
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
Harassment
0.0315041078
OpenAI Moderation v1 (007)
Violence
0.0126721439
OpenAI Moderation v1 (007)
Hate
0.0013018683
OpenAI Moderation v1 (007)
Violence > Graphic
0.0009139065
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0005627933
OpenAI Moderation v1 (007)
Sexual
0.000216757
OpenAI Moderation v1 (007)
Sexual > Minors
9.84554E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.76321E-5
OpenAI Moderation v1 (007)
Self-Harm
1.66439E-5
OpenAI Moderation v1 (007)
Hate > Threatening
9.7077E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
8.4311E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
5.5
Flesch-Kincaid Ease
81.3
Gunning-Fog Score
7.2
Coleman-Liau Index
7.9
SMOG Index
10.3
Automated Readability Index
4.8
Dale-Chall Readability Score
2.9
Sprache Readability Score
3
Dale-Chall Difficult Word Score
4
Sprache Difficult Word Count
7

The Presiding Officer

The PRESIDING OFFICER.
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
Violence
0.047191669
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0304288202
OpenAI Moderation v1 (007)
Harassment
0.0146360791
OpenAI Moderation v1 (007)
Hate
0.001184097
OpenAI Moderation v1 (007)
Violence > Graphic
0.0009857967
OpenAI Moderation v1 (007)
Sexual
0.0005381742
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0002468749
OpenAI Moderation v1 (007)
Self-Harm
0.000218113
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001275871
OpenAI Moderation v1 (007)
Hate > Threatening
8.44046E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.20991E-5
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
9.4
Flesch-Kincaid Ease
34.1
Gunning-Fog Score
1.4
Coleman-Liau Index
12
SMOG Index
10.3
Automated Readability Index
5.9
Dale-Chall Readability Score
4.7
Sprache Readability Score
1.4
Dale-Chall Difficult Word Score
2
Sprache Difficult Word Count
4

Judd Gregg

Mr. President, I suggest the absence of a quorum.
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
Neutral
Moderation
Violence
0.0817013264
OpenAI Moderation v1 (007)
Violence > Graphic
0.069284765
OpenAI Moderation v1 (007)
Harassment
0.0044913002
OpenAI Moderation v1 (007)
Hate
0.001201509
OpenAI Moderation v1 (007)
Harassment > Threatening
0.00106363
OpenAI Moderation v1 (007)
Sexual
0.0003524108
OpenAI Moderation v1 (007)
Self-Harm
0.0001040718
OpenAI Moderation v1 (007)
Hate > Threatening
4.4313E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.79066E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.02588E-5
OpenAI Moderation v1 (007)
Sexual > Minors
1.19206E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Civil Rights
Score:
63.142
Magnitude:
162
Code:
2
Url:
https://fsc.al/cap-mc#2
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
3.2
Flesch-Kincaid Ease
80.1
Gunning-Fog Score
1.8
Coleman-Liau Index
9
SMOG Index
3.3
Automated Readability Index
0.7
Dale-Chall Readability Score
9
Sprache Readability Score
1.6
Dale-Chall Difficult Word Score
5
Sprache Difficult Word Count
5

The Presiding Officer

The PRESIDING OFFICER.
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
Violence
0.0449024286
OpenAI Moderation v1 (007)
Violence > Graphic
0.022243947
OpenAI Moderation v1 (007)
Harassment
0.0062081926
OpenAI Moderation v1 (007)
Sexual
0.0038904869
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0032683216
OpenAI Moderation v1 (007)
Hate
0.0007296435
OpenAI Moderation v1 (007)
Hate > Threatening
0.0005433674
OpenAI Moderation v1 (007)
Self-Harm
8.68947E-5
OpenAI Moderation v1 (007)
Sexual > Minors
7.53818E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
3.1251E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
5.4E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Civil Rights
Score:
41.251
Magnitude:
52
Code:
2
Url:
https://fsc.al/cap-mc#2
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
3.2
Flesch-Kincaid Ease
80.1
Gunning-Fog Score
1.8
Coleman-Liau Index
11.6
SMOG Index
9
Automated Readability Index
2.8
Dale-Chall Readability Score
2
Sprache Readability Score
1.4
Dale-Chall Difficult Word Score
1
Sprache Difficult Word Count
3

Jeff Bingaman

Mr. President, I ask unanimous consent that the order for the quorum call be rescinded.
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
0.226
Slightly Positive
Moderation
Violence
0.0237840184
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0030444166
OpenAI Moderation v1 (007)
Harassment
0.0024921939
OpenAI Moderation v1 (007)
Violence > Graphic
0.0013891754
OpenAI Moderation v1 (007)
Hate
0.0002131878
OpenAI Moderation v1 (007)
Sexual
0.0001279345
OpenAI Moderation v1 (007)
Sexual > Minors
5.01707E-5
OpenAI Moderation v1 (007)
Hate > Threatening
2.9944E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.52237E-5
OpenAI Moderation v1 (007)
Self-Harm
1.43175E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.8424E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
6.2
Flesch-Kincaid Ease
63.9
Gunning-Fog Score
8.3
Coleman-Liau Index
11.6
SMOG Index
9
Automated Readability Index
4.3
Dale-Chall Readability Score
6.7
Sprache Readability Score
2.1
Dale-Chall Difficult Word Score
6
Sprache Difficult Word Count
6

The PRESIDING OFFICER (Mr. Ashcroft). Without objection, it is so ordered.
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)
1.60944
VADER
0
Neutral
Moderation
Violence
0.0117256197
OpenAI Moderation v1 (007)
Violence > Graphic
0.002646688
OpenAI Moderation v1 (007)
Sexual
0.0014298521
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0011582805
OpenAI Moderation v1 (007)
Harassment
0.000823681
OpenAI Moderation v1 (007)
Hate > Threatening
0.0001209705
OpenAI Moderation v1 (007)
Self-Harm > Intent
7.34251E-5
OpenAI Moderation v1 (007)
Self-Harm
4.28474E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.58595E-5
OpenAI Moderation v1 (007)
Hate
2.04025E-5
OpenAI Moderation v1 (007)
Sexual > Minors
1.94899E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Civil Rights
Score:
41.696
Magnitude:
93
Code:
2
Url:
https://fsc.al/cap-mc#2
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
7.3
Flesch-Kincaid Ease
49.3
Gunning-Fog Score
5.1
Coleman-Liau Index
12
SMOG Index
9
Automated Readability Index
5.2
Dale-Chall Readability Score
7.4
Sprache Readability Score
1.6
Dale-Chall Difficult Word Score
5
Sprache Difficult Word Count
6

Jeff Bingaman

Mr. President, I ask unanimous consent that Dan Alpert, who is a fellow in my office, be granted privileges of the floor during the consideration of S. 1217.
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
0.671
Very Positive
Moderation
Violence
0.0132192654
OpenAI Moderation v1 (007)
Violence > Graphic
0.0069166599
OpenAI Moderation v1 (007)
Harassment
0.0023235356
OpenAI Moderation v1 (007)
Sexual
0.0009821418
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0005458371
OpenAI Moderation v1 (007)
Hate
0.0001939763
OpenAI Moderation v1 (007)
Sexual > Minors
9.76299E-5
OpenAI Moderation v1 (007)
Self-Harm
2.85975E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.99238E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.0016E-5
OpenAI Moderation v1 (007)
Hate > Threatening
6.6946E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Government Operations
Score:
26.152
Magnitude:
44
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
6.6
Flesch-Kincaid Ease
64.4
Gunning-Fog Score
8
Coleman-Liau Index
9.4
SMOG Index
9
Automated Readability Index
3.4
Dale-Chall Readability Score
5.5
Sprache Readability Score
2.6
Dale-Chall Difficult Word Score
9
Sprache Difficult Word Count
10

The Presiding Officer

The PRESIDING OFFICER.
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)
1.60944
VADER
0
Neutral
Moderation
Harassment
0.1472196542
OpenAI Moderation v1 (007)
Violence
0.0751957821
OpenAI Moderation v1 (007)
Violence > Graphic
0.0022356582
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0012807136
OpenAI Moderation v1 (007)
Hate
0.0011907862
OpenAI Moderation v1 (007)
Sexual
0.0006018347
OpenAI Moderation v1 (007)
Sexual > Minors
8.70228E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.94373E-5
OpenAI Moderation v1 (007)
Self-Harm
4.03335E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.44038E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
4.8946E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
8.5
Flesch-Kincaid Ease
42.5
Gunning-Fog Score
6.2
Coleman-Liau Index
12
SMOG Index
10.3
Automated Readability Index
5.9
Dale-Chall Readability Score
5.5
Sprache Readability Score
1.5
Dale-Chall Difficult Word Score
3
Sprache Difficult Word Count
4

Jeff Bingaman

Mr. President, I ask unanimous consent that I be allowed to speak for up to 10 minutes as in morning business.
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
0.226
Slightly Positive
Moderation
Harassment
0.0493672269
OpenAI Moderation v1 (007)
Violence
0.0122701604
OpenAI Moderation v1 (007)
Hate
0.0104804298
OpenAI Moderation v1 (007)
Violence > Graphic
0.0025507772
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0024285808
OpenAI Moderation v1 (007)
Sexual
0.0002181298
OpenAI Moderation v1 (007)
Self-Harm
0.0001772188
OpenAI Moderation v1 (007)
Hate > Threatening
8.01048E-5
OpenAI Moderation v1 (007)
Sexual > Minors
1.59453E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
9.1036E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
3.0241E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Macroeconomics
Score:
65.281
Magnitude:
94
Code:
1
Url:
https://fsc.al/cap-mc#1
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
5.4
Flesch-Kincaid Ease
75.3
Gunning-Fog Score
8
Coleman-Liau Index
8
SMOG Index
9
Automated Readability Index
2.9
Dale-Chall Readability Score
5
Sprache Readability Score
2.4
Dale-Chall Difficult Word Score
6
Sprache Difficult Word Count
6

The Presiding Officer

The PRESIDING OFFICER.
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)
1.60944
VADER
0
Neutral
Moderation
Violence
0.0291407836
OpenAI Moderation v1 (007)
Harassment
0.0031642667
OpenAI Moderation v1 (007)
Hate
0.0024022342
OpenAI Moderation v1 (007)
Violence > Graphic
0.0008318974
OpenAI Moderation v1 (007)
Sexual
0.0004624932
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0002046353
OpenAI Moderation v1 (007)
Sexual > Minors
0.000118556
OpenAI Moderation v1 (007)
Self-Harm
5.02289E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
4.04394E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.05635E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
9.6699E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
8.5
Flesch-Kincaid Ease
42.5
Gunning-Fog Score
6.2
Coleman-Liau Index
12
SMOG Index
10.3
Automated Readability Index
5.9
Dale-Chall Readability Score
5.5
Sprache Readability Score
1.5
Dale-Chall Difficult Word Score
3
Sprache Difficult Word Count
4

Jeff Bingaman

Mr. President, I have come to the floor to speak about what I see as a funding shortfall for the 2000 census.
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
Violence
0.0110115921
OpenAI Moderation v1 (007)
Harassment
0.000833062
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0005887972
OpenAI Moderation v1 (007)
Sexual
0.0004871316
OpenAI Moderation v1 (007)
Violence > Graphic
0.0003616009
OpenAI Moderation v1 (007)
Hate
8.60722E-5
OpenAI Moderation v1 (007)
Sexual > Minors
7.61159E-5
OpenAI Moderation v1 (007)
Hate > Threatening
6.93374E-5
OpenAI Moderation v1 (007)
Self-Harm
1.3787E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.3301E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
5.7E-7
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
2.6
Flesch-Kincaid Ease
95.7
Gunning-Fog Score
4.4
Coleman-Liau Index
5.9
SMOG Index
3.3
Automated Readability Index
1.4
Dale-Chall Readability Score
4.1
Sprache Readability Score
2.4
Dale-Chall Difficult Word Score
5
Sprache Difficult Word Count
5

Jeff Bingaman

First, I compliment Chairman Gregg and Senator Hollings for their work on this bill. I fully appreciate the very tight budget constraints under which they have been working. However, I want to make sure all Senators also know that, even though we will soon pass this appropriations bill, our work is not yet finished.
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)
1.29928
VADER
0.826
Very Positive
Moderation
Hate
0.0093179609
OpenAI Moderation v1 (007)
Harassment
0.0058484809
OpenAI Moderation v1 (007)
Violence
0.0046712648
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0037193196
OpenAI Moderation v1 (007)
Sexual
0.003101827
OpenAI Moderation v1 (007)
Self-Harm
0.0017872406
OpenAI Moderation v1 (007)
Hate > Threatening
0.0003476143
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001824856
OpenAI Moderation v1 (007)
Violence > Graphic
0.0001728771
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001643886
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0001127543
OpenAI Moderation v1 (007)
Topics
Topic:
Civil Rights
Score:
40.387
Magnitude:
72
Code:
2
Url:
https://fsc.al/cap-mc#2
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
9.1
Flesch-Kincaid Ease
61.7
Gunning-Fog Score
10.9
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
10
Dale-Chall Readability Score
4.7
Sprache Readability Score
4.1
Dale-Chall Difficult Word Score
13
Sprache Difficult Word Count
15

Jeff Bingaman

Census day, which is April 1 of the year 2000, is less than 9 months away. Still today, at this late date, this bill lacks sufficient funding to adequately conduct the 2000 census.
Sentiment
Loughran McDonald (Relative)
-0.33333
Somewhat Negative
Loughran McDonald (Absolute)
-0.33333
Somewhat Negative
Loughran McDonald (Logit)
-0.51083
Harvard-IV (Relative)
0.33333
Somewhat Positive
Harvard-IV (Absolute)
0.33333
Somewhat Positive
Harvard-IV (Logit)
0.51083
VADER
0
Neutral
Moderation
Hate
0.0481007824
OpenAI Moderation v1 (007)
Violence
0.0479817449
OpenAI Moderation v1 (007)
Violence > Graphic
0.018559453
OpenAI Moderation v1 (007)
Harassment
0.0174367015
OpenAI Moderation v1 (007)
Sexual
0.0134945411
OpenAI Moderation v1 (007)
Sexual > Minors
0.0116955802
OpenAI Moderation v1 (007)
Hate > Threatening
0.0085733387
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0032141812
OpenAI Moderation v1 (007)
Self-Harm
0.0008713626
OpenAI Moderation v1 (007)
Self-Harm > Intent
8.11289E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
7.2315E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Civil Rights
Score:
63.754
Magnitude:
83
Code:
2
Url:
https://fsc.al/cap-mc#2
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
5.5
Flesch-Kincaid Ease
85
Gunning-Fog Score
9
Coleman-Liau Index
7.7
SMOG Index
9
Automated Readability Index
5.7
Dale-Chall Readability Score
5.1
Sprache Readability Score
3.5
Dale-Chall Difficult Word Score
9
Sprache Difficult Word Count
10

Jeff Bingaman

The Founding Fathers recognized the importance of a fair and accurate count of the population. Article I, section 2 of the Constitution provides that Congress is to conduct a decennial census "in such Manner as they shall by Law direct." In fact, the census is one of the few actions that is mandated by the Constitution.
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
0.586
Very Positive
Moderation
Sexual
0.1035849913
OpenAI Moderation v1 (007)
Violence
0.0602142652
OpenAI Moderation v1 (007)
Hate
0.0034903453
OpenAI Moderation v1 (007)
Violence > Graphic
0.0034146386
OpenAI Moderation v1 (007)
Harassment
0.0028193312
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0019188041
OpenAI Moderation v1 (007)
Sexual > Minors
0.00175226
OpenAI Moderation v1 (007)
Hate > Threatening
0.0010425436
OpenAI Moderation v1 (007)
Self-Harm
3.6444E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
6.266E-7
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.52E-8
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
10.4
Flesch-Kincaid Ease
53.4
Gunning-Fog Score
13.2
Coleman-Liau Index
11.3
SMOG Index
12
Automated Readability Index
9.6
Dale-Chall Readability Score
6
Sprache Readability Score
4.4
Dale-Chall Difficult Word Score
18
Sprache Difficult Word Count
18

Jeff Bingaman

Let me take a few minutes to discuss the importance of a full and accurate census for all Americans.
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
0.361
Somewhat Positive
Moderation
Violence
0.0256085274
OpenAI Moderation v1 (007)
Violence > Graphic
0.0225597367
OpenAI Moderation v1 (007)
Sexual
0.0058756996
OpenAI Moderation v1 (007)
Harassment
0.005353149
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0052298132
OpenAI Moderation v1 (007)
Hate
0.0009271074
OpenAI Moderation v1 (007)
Self-Harm
0.0003262652
OpenAI Moderation v1 (007)
Sexual > Minors
0.0003252298
OpenAI Moderation v1 (007)
Hate > Threatening
4.22694E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
8.5544E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
6.984E-7
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
9.8
Flesch-Kincaid Ease
58.4
Gunning-Fog Score
11.8
Coleman-Liau Index
9.3
SMOG Index
12
Automated Readability Index
8.1
Dale-Chall Readability Score
5.1
Sprache Readability Score
3.4
Dale-Chall Difficult Word Score
5
Sprache Difficult Word Count
5

Jeff Bingaman

Data from the 2000 census will be used to apportion House seats among the States for the 108th through the 112th Congresses. The States also use census data to draw legislative districts for congressional seats as well as for State and local representatives. In addition, Federal, State, and local governments use census information to guide annual distribution of the $180 billion of Federal funds for critical services such as child care, Social Security, Medicare, education, and job training.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.63636
Very Positive
Harvard-IV (Absolute)
0.63636
Very Positive
Harvard-IV (Logit)
1.335
VADER
0.66
Very Positive
Moderation
Violence
0.4623066634
OpenAI Moderation v1 (007)
Harassment > Threatening
0.1826762804
OpenAI Moderation v1 (007)
Violence > Graphic
0.1453906414
OpenAI Moderation v1 (007)
Harassment
0.019662366
OpenAI Moderation v1 (007)
Sexual
0.0195753077
OpenAI Moderation v1 (007)
Hate
0.0095878895
OpenAI Moderation v1 (007)
Self-Harm
0.0033642416
OpenAI Moderation v1 (007)
Hate > Threatening
0.0020944532
OpenAI Moderation v1 (007)
Sexual > Minors
0.0012239335
OpenAI Moderation v1 (007)
Self-Harm > Intent
5.22385E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.04579E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Government Operations
Score:
23.061
Magnitude:
8
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
36.2
Gunning-Fog Score
17.1
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
7.2
Sprache Readability Score
5
Dale-Chall Difficult Word Score
29
Sprache Difficult Word Count
29

Jeff Bingaman

By now, we have all heard details of the serious shortcomings of the 1990 census. In fact, at the time of the 1990 census, many of us spent many days and hours trying to ensure that a fair census was taken. Mr. President, 8.4 million people were missed in that census, and 4.4 million were counted twice.
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
0.34
Somewhat Positive
Readability
Flesch-Kincaid Grade
5.1
Flesch-Kincaid Ease
84
Gunning-Fog Score
8.5
Coleman-Liau Index
7.4
SMOG Index
9
Automated Readability Index
4.3
Dale-Chall Readability Score
4.6
Sprache Readability Score
3.5
Dale-Chall Difficult Word Score
14
Sprache Difficult Word Count
14

Jeff Bingaman

In my State of New Mexico, we suffered the highest undercount of any single State. There were nearly 50,000 New Mexicans left out of the census in 1990 and 20,000 of them were children. The worst undercounts were among our Native American and Hispanic communities. A recent General Accounting Office estimate found that the 1990 census shortchanged my State of New Mexico at least $86 million in much-needed Federal grants.
Sentiment
Loughran McDonald (Relative)
-0.33333
Somewhat Negative
Loughran McDonald (Absolute)
-0.33333
Somewhat Negative
Loughran McDonald (Logit)
-0.51083
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
-0.751
Very Negative
Readability
Flesch-Kincaid Grade
9
Flesch-Kincaid Ease
63.1
Gunning-Fog Score
10
Coleman-Liau Index
10.4
SMOG Index
12
Automated Readability Index
8.7
Dale-Chall Readability Score
5.2
Sprache Readability Score
4.8
Dale-Chall Difficult Word Score
20
Sprache Difficult Word Count
24

Jeff Bingaman

The Census Bureau has made substantial efforts to avoid a repetition of the undercounts that have hurt my State in the past decade. I applaud the Bureau's efforts to reach out to every resident in New Mexico, particularly the extra efforts they have made to count everyone in the Hispanic and the Native American communities. In Spanish, the motto is: "Hagarse Contar!" -- "make yourself count." For Native American communities, I cannot give you the Navajo or Taos version of that, but clearly the slogan is "generations are counting on this; don't leave it blank." So I think everyone agrees that a full and fair census must be our goal. Congress must appropriate all of the funds necessary to produce that full and fair census. The census is not a place where we should be cutting corners. It is time to put partisan politics aside to give the professionals in the Census Bureau the resources they need to get the job done.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
0.44444
Positive
Harvard-IV (Absolute)
0.44444
Positive
Harvard-IV (Logit)
0.89794
VADER
0.883
Very Positive
Readability
Flesch-Kincaid Grade
9.8
Flesch-Kincaid Ease
56.8
Gunning-Fog Score
11.6
Coleman-Liau Index
11.3
SMOG Index
12
Automated Readability Index
9.2
Dale-Chall Readability Score
5.5
Sprache Readability Score
5
Dale-Chall Difficult Word Score
47
Sprache Difficult Word Count
47

Jeff Bingaman

Indeed, the appropriations bill on the floor today does provide nearly $2.8 billion for the 2000 census. This is the full amount in the President's original budget. I thank the chairman for providing the Census Bureau's full initial request.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.75
Very Positive
Harvard-IV (Absolute)
0.75
Very Positive
Harvard-IV (Logit)
1.60944
VADER
0.586
Very Positive
Readability
Flesch-Kincaid Grade
8.2
Flesch-Kincaid Ease
59.1
Gunning-Fog Score
10.3
Coleman-Liau Index
12
SMOG Index
10.6
Automated Readability Index
7.9
Dale-Chall Readability Score
5.9
Sprache Readability Score
3.5
Dale-Chall Difficult Word Score
13
Sprache Difficult Word Count
15

Jeff Bingaman

However, as all Senators know, the Supreme Court ruled that under current statutes only a traditional head count may be used for apportionment of House seats among the States. In response to the ruling, the Census Bureau requested an additional $1.7 billion to provide the best census possible using only the traditional method.
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)
2.83321
VADER
0.832
Very Positive
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
34.7
Gunning-Fog Score
16.6
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
7
Sprache Readability Score
5
Dale-Chall Difficult Word Score
19
Sprache Difficult Word Count
22

Jeff Bingaman

The additional funds were requested to cover the Bureau's additional workload, advertising, staffing, and data processing required to perform this actual head count which the Supreme Court has interpreted the Constitution to require.
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
0.557
Very Positive
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
11.8
Gunning-Fog Score
19
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
9.8
Sprache Readability Score
5
Dale-Chall Difficult Word Score
17
Sprache Difficult Word Count
17

Jeff Bingaman

Mr. President, I ask unanimous consent that a detailed list of the additional costs for a head count be printed in the Record at the conclusion of my remarks.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.09861
Harvard-IV (Relative)
0.5
Positive
Harvard-IV (Absolute)
0.5
Positive
Harvard-IV (Logit)
0.8473
VADER
0.226
Slightly Positive
Readability
Flesch-Kincaid Grade
7.6
Flesch-Kincaid Ease
66.7
Gunning-Fog Score
9.9
Coleman-Liau Index
10
SMOG Index
10.3
Automated Readability Index
6.4
Dale-Chall Readability Score
5.6
Sprache Readability Score
3.3
Dale-Chall Difficult Word Score
9
Sprache Difficult Word Count
11

The Presiding Officer

The PRESIDING OFFICER.
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)
1.60944
VADER
0
Neutral
Readability
Flesch-Kincaid Grade
8.5
Flesch-Kincaid Ease
42.5
Gunning-Fog Score
6.2
Coleman-Liau Index
12
SMOG Index
10.3
Automated Readability Index
5.9
Dale-Chall Readability Score
5.5
Sprache Readability Score
1.5
Dale-Chall Difficult Word Score
3
Sprache Difficult Word Count
4

(See Exhibit No. 1.)
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
-0.296
Slightly Negative
Readability
Flesch-Kincaid Grade
0
Flesch-Kincaid Ease
99.1
Gunning-Fog Score
0.8
Coleman-Liau Index
1.7
SMOG Index
7.3
Automated Readability Index
0
Dale-Chall Readability Score
4
Sprache Readability Score
1
Dale-Chall Difficult Word Score
1
Sprache Difficult Word Count
1

Jeff Bingaman

Mr. President, at this point this appropriations bill does not provide any of the additional funding that the Census Bureau has requested in response to the Supreme Court's January ruling. In fairness to the chairman and the ranking member, and the members of the committee, the Census Bureau's revised request did not arrive until very late in the process. Consequently, the subcommittee may not have had sufficient time to review the supplemental request and conduct the normal oversight hearings. I understand the subcommittee intends to consider the Census Bureau's supplemental funding request in the near future. I thank the chairman for moving forward promptly and for working on this issue in a spirit of bipartisanship.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
0.69231
Very Positive
Harvard-IV (Absolute)
0.69231
Very Positive
Harvard-IV (Logit)
1.52606
VADER
0.778
Very Positive
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
41
Gunning-Fog Score
13.2
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
7
Sprache Readability Score
5
Dale-Chall Difficult Word Score
44
Sprache Difficult Word Count
45

Jeff Bingaman

What worries me is that even with the additional funds required for a head count, in all likelihood we will still fall well short of counting everyone and, as in the 1990 census, the undercount will hurt certain population groups the most. However, I have not come to the floor today to debate which enumeration method the Census Bureau should use. Except for apportionment, the Bureau will alleviate the undercount problem by using modern scientific methods. This is the only way to assure that States such as New Mexico will not be shortchanged again.
Sentiment
Loughran McDonald (Relative)
-0.33333
Somewhat Negative
Loughran McDonald (Absolute)
-0.33333
Somewhat Negative
Loughran McDonald (Logit)
-0.51083
Harvard-IV (Relative)
0.27273
Slightly Positive
Harvard-IV (Absolute)
0.27273
Slightly Positive
Harvard-IV (Logit)
0.51083
VADER
-0.511
Very Negative
Readability
Flesch-Kincaid Grade
11.8
Flesch-Kincaid Ease
52.5
Gunning-Fog Score
14.1
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
5.4
Sprache Readability Score
5
Dale-Chall Difficult Word Score
25
Sprache Difficult Word Count
23

Jeff Bingaman

The Supreme Court ruled the 2000 census must include a full head count. I believe Congress has an obligation to provide all the funds required.
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
0.557
Very Positive
Readability
Flesch-Kincaid Grade
5.3
Flesch-Kincaid Ease
79.1
Gunning-Fog Score
6.6
Coleman-Liau Index
10.8
SMOG Index
7.3
Automated Readability Index
6.1
Dale-Chall Readability Score
6.3
Sprache Readability Score
3
Dale-Chall Difficult Word Score
9
Sprache Difficult Word Count
10

Jeff Bingaman

I appreciate the very tight budget situation in which we find ourselves. Time is getting short. Again, I thank the chairman and the ranking member for their continued bipartisan work on this appropriations bill, and I hope that they can move quickly to provide the supplemental funds required for the 2000 census.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.66667
Very Positive
Harvard-IV (Absolute)
0.66667
Very Positive
Harvard-IV (Logit)
1.29928
VADER
0.796
Very Positive
Readability
Flesch-Kincaid Grade
9.6
Flesch-Kincaid Ease
57.5
Gunning-Fog Score
11.5
Coleman-Liau Index
12
SMOG Index
11.3
Automated Readability Index
10.2
Dale-Chall Readability Score
4.8
Sprache Readability Score
4.3
Dale-Chall Difficult Word Score
13
Sprache Difficult Word Count
19

Dianne Feinstein

Mr. President, I rise today to discuss my concerns about appropriations for the census -- an issue that is critical for the State of California and for the Nation.
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
-0.318
Somewhat Negative
Readability
Flesch-Kincaid Grade
9.3
Flesch-Kincaid Ease
53.6
Gunning-Fog Score
8.5
Coleman-Liau Index
11.5
SMOG Index
10.3
Automated Readability Index
7.4
Dale-Chall Readability Score
6.3
Sprache Readability Score
3.3
Dale-Chall Difficult Word Score
10
Sprache Difficult Word Count
12

Dianne Feinstein

The Commerce, Justice, and State Appropriations bill for FY 2000 allocates $2.8 billion for census operations. It does not include the additional $1.7 billion that the Administration requested to pay for its revised census plan. This funding shortfall will certainly result in an undercount in the 2000 Census.
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)
1.94591
VADER
0.66
Very Positive
Readability
Flesch-Kincaid Grade
10.6
Flesch-Kincaid Ease
47.8
Gunning-Fog Score
13.9
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
10.3
Dale-Chall Readability Score
7.4
Sprache Readability Score
4.2
Dale-Chall Difficult Word Score
20
Sprache Difficult Word Count
20

Dianne Feinstein

In the 1990 Census, California lost $2.2 billion because not everyone was counted, and that's not fair. Although the Administration's request was submitted late in the appropriations process, it is crucial that we equip the Census Bureau with the funds necessary to make the Census 2000 as accurate as possible. How can the Census Bureau do its best to carry out an accurate census in 2000, if they do not have the appropriate resources? We can be sure that the Census 2000 will fail if the Census Bureau does not have the extra $1.7 billion it needs for this operation.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-2.19722
Harvard-IV (Relative)
0.4
Somewhat Positive
Harvard-IV (Absolute)
0.4
Somewhat Positive
Harvard-IV (Logit)
0.76214
VADER
0.082
Neutral
Readability
Flesch-Kincaid Grade
11.9
Flesch-Kincaid Ease
54.6
Gunning-Fog Score
14.8
Coleman-Liau Index
9.9
SMOG Index
12
Automated Readability Index
11.7
Dale-Chall Readability Score
5.8
Sprache Readability Score
5
Dale-Chall Difficult Word Score
29
Sprache Difficult Word Count
23

Dianne Feinstein

The census has real impact on the lives of people across the Nation. Information gathered from the census count determines how nearly $200 billion of federal funds are allocated. In addition, census information is used by states and local governments to plan schools and highways, and by businesses in making their economic plans.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.60944
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
2.3979
VADER
0
Neutral
Readability
Flesch-Kincaid Grade
11.3
Flesch-Kincaid Ease
45.2
Gunning-Fog Score
14.6
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
11.3
Dale-Chall Readability Score
5.9
Sprache Readability Score
4.6
Dale-Chall Difficult Word Score
17
Sprache Difficult Word Count
22

Dianne Feinstein

The 1990 Census undercounted the U.S. population by more than eight million Americans (mostly children, the poor, and communities of color), and more than four million Americans were counted twice. In California alone, the 1990 Census missed more than 834,000 people. A disproportionate number of those undercounted in California were minorities: Nearly half the net undercount -- 47 percent -- were Hispanic- American. Twenty-two percent were African-American and eight percent were Asian Pacific-American. Such differences in census coverage introduce inequities in political representation and in the distribution of funds. Communities from these undercounted ethnic minority populations have been disadvantaged by not receiving the resources they need for various government programs.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.94591
Harvard-IV (Relative)
0.09091
Neutral
Harvard-IV (Absolute)
0.09091
Neutral
Harvard-IV (Logit)
0.16705
VADER
-0.827
Very Negative
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
24.8
Gunning-Fog Score
14.5
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
6.7
Sprache Readability Score
5
Dale-Chall Difficult Word Score
43
Sprache Difficult Word Count
37

Dianne Feinstein

A recent study by the General Accounting Office estimates that the economic consequences of the undercount in California caused my state to lose over $2.2 billion in federal funds, more than any other state and more than the additional appropriations requested by the Administration. As a result, the state did not get its fair share of funds for Medicaid, Child Care and Development, Rehabilitation Services, Adoption Assistance, and Foster Care, to mention only a few of the federal grant programs affected. Each person missed in the census cost California $2,660 in Federal funds over the decade.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
0.2
Leans Positive
Harvard-IV (Absolute)
0.2
Leans Positive
Harvard-IV (Logit)
0.37949
VADER
0.639
Very Positive
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
24
Gunning-Fog Score
17.5
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
7.1
Sprache Readability Score
5
Dale-Chall Difficult Word Score
34
Sprache Difficult Word Count
37

Dianne Feinstein

Some of the top 10 undercounted cities in the 1990 census, two of which are from my state, include:
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
0.202
Slightly Positive
Readability
Flesch-Kincaid Grade
6.1
Flesch-Kincaid Ease
85.1
Gunning-Fog Score
9.7
Coleman-Liau Index
6.5
SMOG Index
9
Automated Readability Index
5.9
Dale-Chall Readability Score
3.4
Sprache Readability Score
3.3
Dale-Chall Difficult Word Score
3
Sprache Difficult Word Count
4

Dianne Feinstein

Los Angeles (138,808); San Diego (32,483); Chicago (68,315); Houston (66,748); Dallas (37,070); Detroit (28,206); and Philadelphia (23,365).
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
Readability
Flesch-Kincaid Grade
4.1
Flesch-Kincaid Ease
100
Gunning-Fog Score
9.6
Coleman-Liau Index
0
SMOG Index
11.3
Automated Readability Index
2.3
Dale-Chall Readability Score
7.1
Sprache Readability Score
4.3
Dale-Chall Difficult Word Score
9
Sprache Difficult Word Count
9

Dianne Feinstein

Unless the Census Bureau is allowed to carry out its plan to produce a more accurate count than that which was produced in 1990, California and other states will again lose billions of dollars in federal assistance and will again have to subsidize federal programs with state and local tax dollars.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
0.33333
Somewhat Positive
Harvard-IV (Absolute)
0.33333
Somewhat Positive
Harvard-IV (Logit)
0.58779
VADER
-0.402
Negative
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
20.7
Gunning-Fog Score
19
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
7.2
Sprache Readability Score
5
Dale-Chall Difficult Word Score
15
Sprache Difficult Word Count
17

Dianne Feinstein

Since the flawed 1990 population count, the Census Bureau has worked with experts from across the country to design a more accurate census for 2000. The National Academy of Sciences, in three separate reports, concluded that the key to improving accuracy in the census is the use of sound statistical methods. Earlier this year, the Supreme Court ruled that the Census Bureau could not use statistical sampling for apportionment purposes.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.81818
Very Positive
Harvard-IV (Absolute)
0.81818
Very Positive
Harvard-IV (Logit)
1.94591
VADER
0.511
Very Positive
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
43
Gunning-Fog Score
15.6
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
28
Sprache Difficult Word Count
26

Dianne Feinstein

Because the Census Bureau cannot use sampling, it has revised its census plan and requested additional appropriations to carry out a full enumeration census, using mail-back census forms and employing an army of bureau workers to personally and repeatedly visit those who do not respond. The Census Bureau's operational plan for carrying out the 2000 Census will be the largest peacetime effort in our nation's history, and will employ more than 860,000 temporary workers.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
2.3979
VADER
0.494
Positive
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
22.4
Gunning-Fog Score
19
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
7.7
Sprache Readability Score
5
Dale-Chall Difficult Word Score
28
Sprache Difficult Word Count
27

Dianne Feinstein

Mr. President, Congress must make every effort to support the Census Bureau's plan to count all Americans in 2000. The census should not be about politics. This is an issue of fairness, that impacts Americans nationwide. I urge my colleagues to support the additional $1.7 billion appropriation that the Census Bureau needs to carry out an accurate census in 2000. We must do everything we can to ensure that everyone is included in the count, and that our communities are provided with the resources we need.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.69231
Very Positive
Harvard-IV (Absolute)
0.69231
Very Positive
Harvard-IV (Logit)
1.52606
VADER
0.791
Very Positive
Readability
Flesch-Kincaid Grade
9.2
Flesch-Kincaid Ease
54.6
Gunning-Fog Score
12.2
Coleman-Liau Index
11.7
SMOG Index
12
Automated Readability Index
7.8
Dale-Chall Readability Score
6.2
Sprache Readability Score
4.5
Dale-Chall Difficult Word Score
30
Sprache Difficult Word Count
26

Dianne Feinstein

I suggest the absence of a quorum.
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
Neutral
Readability
Flesch-Kincaid Grade
4
Flesch-Kincaid Ease
78.9
Gunning-Fog Score
2.8
Coleman-Liau Index
6.9
SMOG Index
3.3
Automated Readability Index
0.2
Dale-Chall Readability Score
7.1
Sprache Readability Score
1.8
Dale-Chall Difficult Word Score
3
Sprache Difficult Word Count
3

The Presiding Officer

The PRESIDING OFFICER.
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
Readability
Flesch-Kincaid Grade
3.2
Flesch-Kincaid Ease
80.1
Gunning-Fog Score
1.8
Coleman-Liau Index
11.6
SMOG Index
9
Automated Readability Index
2.8
Dale-Chall Readability Score
2
Sprache Readability Score
1.4
Dale-Chall Difficult Word Score
1
Sprache Difficult Word Count
3

The legislative assistant proceeded to call the roll.
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
Readability
Flesch-Kincaid Grade
9.7
Flesch-Kincaid Ease
40.1
Gunning-Fog Score
18.2
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
9.1
Dale-Chall Readability Score
6.3
Sprache Readability Score
1.9
Dale-Chall Difficult Word Score
3
Sprache Difficult Word Count
3

Trent Lott

Mr. President, I ask unanimous consent that the order for the quorum call be rescinded.
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
0.226
Slightly Positive
Readability
Flesch-Kincaid Grade
6.2
Flesch-Kincaid Ease
63.9
Gunning-Fog Score
8.3
Coleman-Liau Index
11.6
SMOG Index
9
Automated Readability Index
4.3
Dale-Chall Readability Score
6.7
Sprache Readability Score
2.1
Dale-Chall Difficult Word Score
6
Sprache Difficult Word Count
6

The Presiding Officer

The PRESIDING OFFICER.
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)
1.60944
VADER
0
Neutral
Readability
Flesch-Kincaid Grade
8.5
Flesch-Kincaid Ease
42.5
Gunning-Fog Score
6.2
Coleman-Liau Index
12
SMOG Index
10.3
Automated Readability Index
5.9
Dale-Chall Readability Score
5.5
Sprache Readability Score
1.5
Dale-Chall Difficult Word Score
3
Sprache Difficult Word Count
4