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  5. 2012.02.04.remarks_in_arden_hills_minnesota_following_the_nevada_caucuses

Ron Paul

This speech titled 2012.02.04.remarks_in_arden_hills_minnesota_following_the_nevada_caucuses originally had 1873 tokens. In its cue-lag representation, it has 47 cue terms and an average lag of 34.6. 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 cut_govern 10
✓
0.18 0.781 0.039
✗
0 0 0
2 govern_spend 0
✓
0.0105 0.00259 0
✗
0.209 0.741 0.0372
3 __MONEY___trillion 2
✓
0.0774 0.0107 0.000199
✗
0.266 0.634 0.0107
4 same_thing 31
✓
0.178 0.154 0.435
✗
0.0589 0.156 0.0183
5 feder_reserv 4
✓
0.151 0.0667 0.0195
✗
0.234 0.262 0.267
6 bubbl_burst 23
✓
0.134 0.107 0.0145
✗
0.3 0.274 0.17
7 same_time 8
✓
0.378 0.0101 0
✗
0.455 0.157 0
8 middl_class 3
✓
0.0263 0.00995 0
✗
0.809 0.155 0
9 class_peopl 0
✓
0.00836 0.00119 0.000398
✗
0.832 0.158 0.000199
10 stock_market 10
✓
0.0639 0.00776 0.0366
✗
0.795 0.0941 0.00279
11 save_monei 8
✓
0.0482 0.00239 0.0438
✗
0.811 0.0581 0.0368
12 social_secur_benefit 119
✓
0.422 0.117 0.0277
✗
0.414 0.0191 0.000398
13 same_time 4
✓
0.0874 0.0129 0.000398
✗
0.77 0.122 0.00796
14 econom_issu 18
✓
0.0585 0.0515 0.293
✗
0.484 0.0945 0.0185
15 receiv_benefit 4
✓
0.0177 0.00995 0.0619
✗
0.476 0.13 0.305
16 entitl_system 107
✓
0 0 0.852
✗
0 0.000199 0.148
17 free_educ 89
✓
0 0 0.1
✗
0 0 0.9
18 medic_care 9
✓
0 0 0.00637
✗
0 0 0.994
19 affirm_action 238
✓
0.414 0.0129 0.557
✗
0 0 0.0169
20 fanni_mae 22
✓
0.0269 0.000398 0.288
✗
0.203 0.00159 0.481
21 freddi_mac 2
✓
0.00179 0.000398 0.0283
✗
0.207 0.00159 0.761
22 peopl_make 36
✓
0.0766 0.00796 0.11
✗
0.16 0.000597 0.645
23 mortgag_market 20
✓
0.0464 0.0507 0.111
✗
0.162 0.00597 0.624
24 rise_price 50
✓
0.032 0.0515 0.587
✗
0.0249 0.0157 0.289
25 free_market 8
✓
0.0412 0.0637 0.174
✗
0.0378 0.0619 0.622
26 feder_reserv 25
✓
0.375 0.203 0.0762
✗
0.0557 0.0989 0.192
27 middl_class 41
✓
0.494 0.0726 0.000398
✗
0.323 0.109 0.00139
28 big_busi 61
✓
0.274 0.0868 0.0139
✗
0.501 0.124 0
29 big_bank 2
✓
0.0219 0.00418 0.00119
✗
0.763 0.204 0.00577
30 industri_complex 4
✓
0.0259 0.0133 0.0446
✗
0.723 0.18 0.0129
31 special_interest 32
✓
0.00697 0.00856 0.893
✗
0.0279 0.00935 0.0547
32 monetari_system 7
✓
0 0 0.137
✗
0.000597 0 0.863
33 foreign_polici 6
✓
0.000398 0 0.079
✗
0 0.000199 0.92
34 rich_peopl 50
✓
0.636 0.0344 0.163
✗
0.00318 0 0.163
35 middl_class 23
✓
0.311 0.153 0
✗
0.508 0.0277 0.000398
36 big_bank 10
✓
0.0456 0.0388 0.00438
✗
0.739 0.172 0.000398
37 __MONEY___trillion 57
✓
0.223 0.509 0.00279
✗
0.179 0.0862 0
✗
0.00179 0.000199 0.00517
39 spend_monei 2
✓
0.00935 0.00159 0.0175
✗
0.0714 0.00796 0.892
40 year_histori 74
✓
0.281 0.225 0.0949
✗
0.0384 0.00498 0.355
41 feder_reserv 3
✓
0.0289 0.0187 0.00896
✗
0.299 0.22 0.424
42 welfar_state 28
✓
0.135 0.00955 0.338
✗
0.195 0.0281 0.294
43 foreign_polici 42
✓
0.000199 0 0.81
✗
0.000597 0 0.189
44 strong_nation 20
✓
0 0 0.223
✗
0 0 0.777
45 nation_defens 0
✓
0 0 0.00896
✗
0 0.000199 0.991
46 nation_secur 15
✓
0.181 0.148 0.11
✗
0.00279 0.00279 0.556
47 foreign_polici 186
✓
0.00318 0.000597 0.978
✗
0.000199 0 0.0181
__END_OF_SPEECH__ 114