This speech titled 2007.07.31.excerpts_of_remarks_in_a_town_hall_meeting_in_rochester_new_hampshire originally had 1105 tokens. In its cue-lag representation, it has 18 cue terms and an average lag of 48.1. You can see the original speech or the tokenized/stemmed speech with overlaying cue-lags.
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 | univers_healthcar | 121 | ✓ | 0.0119 | 0.00657 | 0.981 | ||
✗ | 0 | 0 | 0 | |||||
2 | social_medicin | 7 | ✓ | 0 | 0 | 0.0406 | ||
✗ | 0.000597 | 0 | 0.959 | |||||
3 | privat_ownership | 114 | ✓ | 0.00657 | 0.00179 | 0.0581 | ||
✗ | 0 | 0 | 0.934 | |||||
4 | health_insur | 51 | ✓ | 0 | 0 | 0.0396 | ||
✗ | 0 | 0 | 0.96 | |||||
5 | health_polici | 83 | ✓ | 0.000398 | 0.000199 | 0.0209 | ||
✗ | 0 | 0 | 0.979 | |||||
6 | free_monei | 25 | ✓ | 0.000597 | 0 | 0.00478 | ||
✗ | 0.000199 | 0 | 0.994 | |||||
7 | save_account | 11 | ✓ | 0 | 0 | 0.00219 | ||
✗ | 0 | 0 | 0.998 | |||||
8 | enorm_amount | 19 | ✓ | 0 | 0 | 0.00239 | ||
✗ | 0 | 0 | 0.998 | |||||
9 | health_insur | 19 | ✓ | 0 | 0 | 0.00299 | ||
✗ | 0 | 0 | 0.997 | |||||
10 | tax_deduct | 5 | ✓ | 0 | 0 | 0.000995 | ||
✗ | 0 | 0 | 0.999 | |||||
11 | save_account | 10 | ✓ | 0 | 0 | 0.00159 | ||
✗ | 0 | 0 | 0.998 | |||||
12 | __NUM___million | 91 | ✓ | 0.00637 | 0.00537 | 0.0263 | ||
✗ | 0 | 0 | 0.962 | |||||
13 | health_insur | 14 | ✓ | 0.000995 | 0.000398 | 0.00776 | ||
✗ | 0.00338 | 0.00239 | 0.985 | |||||
14 | legal_system | 212 | ✓ | 0.00239 | 0 | 0.985 | ||
✗ | 0 | 0 | 0.0129 | |||||
15 | good_friend | 44 | ✓ | 0.00816 | 0.00139 | 0.216 | ||
✗ | 0.000597 | 0 | 0.774 | |||||
16 | social_medicin | 12 | ✓ | 0.000796 | 0 | 0.0708 | ||
✗ | 0.00179 | 0 | 0.927 | |||||
17 | payer_system | 48 | ✓ | 0.0826 | 0.0209 | 0.0342 | ||
✗ | 0.00299 | 0.000199 | 0.859 | |||||
18 | michael_moor | 41 | ✓ | 0.0219 | 0.000398 | 0.0812 | ||
✗ | 0.049 | 0.00199 | 0.846 | |||||
__END_OF_SPEECH__ | 93 |