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  5. 2007.12.03.excerpt_of_remarks_in_clear_lake_iowa

Hillary Clinton

This speech titled 2007.12.03.excerpt_of_remarks_in_clear_lake_iowa originally had 897 tokens. In its cue-lag representation, it has 32 cue terms and an average lag of 24.5. You can see the original speech or the tokenized/stemmed speech with overlaying cue-lags.

Cue-lag representation

The table below shows the cue-lag representation of the speech. For each cue term, it also displays the posterior distributions over ideology.

# Cue term Lag before term Posterior distribution
Restart ∑Left Center ∑Right
1 hillari_clinton 0
✓
0.973 0.000796 0.0263
✗
0 0 0
2 good_peopl 117
✓
0.373 0.00358 0.0304
✗
0.583 0 0.00995
3 health_care 49
✓
0.214 0.00119 0
✗
0.784 0.000398 0
4 __NUM___million_american 12
✓
0.0436 0 0
✗
0.956 0.000398 0
5 health_care_plan 14
✓
0.0408 0 0
✗
0.959 0 0
6 univers_coverag 3
✓
0.00816 0 0
✗
0.992 0 0
7 __NUM___million_american 19
✓
0.0579 0.000796 0
✗
0.941 0 0
8 health_care_plan 5
✓
0.0175 0.000398 0.00179
✗
0.98 0.000597 0
9 social_secur 9
✓
0.0539 0.313 0.112
✗
0.518 0.000995 0.00179
10 republican_talk 8
✓
0.0179 0.0127 0.124
✗
0.444 0.287 0.114
11 talk_point 0
✓
0.00358 0.000398 0.00338
✗
0.459 0.295 0.239
12 retir_ag 8
✓
0.00995 0.0603 0.0197
✗
0.378 0.29 0.242
13 payrol_tax 12
✓
0.00657 0.391 0.00418
✗
0.136 0.347 0.115
14 trillion_dollar 6
✓
0.000398 0.245 0
✗
0.0137 0.734 0.00697
15 tax_increas 1
✓
0 0.0139 0
✗
0.00617 0.977 0.00279
16 social_secur 11
✓
0 0.0189 0
✗
0.000199 0.981 0
17 middl_class 9
✓
0.000398 0.00816 0
✗
0 0.991 0
18 social_secur 6
✓
0.000199 0.00677 0
✗
0 0.993 0
19 fiscal_respons 17
✓
0.00637 0.0179 0.000199
✗
0.000199 0.975 0
20 social_secur 5
✓
0.00935 0.00597 0
✗
0.00657 0.978 0
21 presidenti_debat 44
✓
0.26 0.00975 0.438
✗
0.00995 0.281 0.000796
22 state_senat 114
✓
0.277 0.00299 0.25
✗
0.133 0.00517 0.332
23 gun_violenc 40
✓
0.0486 0.00915 0.121
✗
0.264 0.00597 0.551
24 chicago_tribun 53
✓
0.0762 0.0119 0.0706
✗
0.226 0.00756 0.608
25 health_care 83
✓
0.844 0.00119 0
✗
0.155 0.000398 0.000199
26 energi_independ 2
✓
0.0125 0 0
✗
0.987 0.000199 0
27 __NUM___year 72
✓
0.286 0.00318 0.00239
✗
0.708 0 0
28 work_peopl 10
✓
0.0478 0.00856 0
✗
0.941 0.00299 0
29 health_care 50
✓
0.182 0.00915 0
✗
0.805 0.00358 0
30 drug_compani 8
✓
0.0273 0.00219 0
✗
0.959 0.0117 0
31 insur_compani 3
✓
0.0117 0.00139 0
✗
0.973 0.0137 0
32 health_care 3
✓
0.0145 0.00139 0
✗
0.97 0.0143 0
__END_OF_SPEECH__ 28