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  5. 2008.04.24.remarks_in_baton_rouge_louisiana

John McCain

This speech titled 2008.04.24.remarks_in_baton_rouge_louisiana originally had 2940 tokens. In its cue-lag representation, it has 65 cue terms and an average lag of 40.6. 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 corpor_world 97
✓
0.606 0.0265 0.367
✗
0 0 0
2 busi_leader 10
✓
0.0209 0.000398 0.00816
✗
0.599 0.0314 0.34
3 public_opinion 23
✓
0.00577 0 0.00239
✗
0.617 0.032 0.343
4 busi_leader 57
✓
0.00677 0 0.00617
✗
0.618 0.032 0.337
5 person_respons 11
✓
0.0195 0 0.00716
✗
0.62 0.031 0.322
6 busi_commun 54
✓
0.393 0 0.00139
✗
0.591 0.00219 0.0123
7 feder_level 29
✓
0.0302 0 0
✗
0.97 0 0
8 privat_sector 48
✓
0.000597 0 0
✗
0.999 0 0
9 feder_govern 15
✓
0 0 0
✗
1 0 0
10 parti_control 26
✓
0.000398 0 0
✗
1 0 0
11 control_congress 0
✓
0 0 0
✗
1 0 0
12 execut_branch 3
✓
0 0 0
✗
1 0 0
13 feder_govern 3
✓
0 0 0
✗
1 0 0
14 feder_depart 44
✓
0.00338 0 0.00677
✗
0.99 0 0
15 feder_author 90
✓
0.0131 0.000199 0.291
✗
0.691 0 0.00498
16 elect_offici 3
✓
0.000597 0 0.269
✗
0.438 0.000199 0.291
17 recent_memori 58
✓
0.000398 0 0.463
✗
0.0685 0 0.468
18 __NUM___squar 64
✓
0.00677 0 0.133
✗
0.0617 0 0.799
19 squar_mile 0
✓
0 0 0.00259
✗
0.0677 0 0.93
20 natur_disast 92
✓
0.032 0.000199 0.273
✗
0.0147 0 0.68
21 tax_reform 242
✓
0.962 0.000199 0.00219
✗
0.0255 0 0.0101
22 econom_growth 3
✓
0.00438 0 0.000199
✗
0.982 0.000597 0.0123
23 ninth_ward 12
✓
0.0155 0 0.00478
✗
0.966 0.000995 0.0127
24 govern_polici 38
✓
0.102 0 0.00776
✗
0.876 0.000398 0.0137
25 good_job 35
✓
0.0488 0 0.000398
✗
0.935 0.000199 0.0153
26 health_care 20
✓
0.0233 0 0.00159
✗
0.958 0.00179 0.0153
27 violent_crime 4
✓
0.00498 0 0.00378
✗
0.972 0.00239 0.0169
28 american_peopl 133
✓
0.133 0 0.325
✗
0.538 0 0.00398
29 common_good 121
✓
0.13 0 0.122
✗
0.588 0 0.159
30 larger_problem 13
✓
0.0653 0 0.00637
✗
0.716 0 0.213
31 broken_window 6
✓
0.179 0 0.000199
✗
0.788 0 0.0322
32 spend_bill 88
✓
0.0328 0.000199 0
✗
0.967 0 0
33 execut_branch 31
✓
0.00179 0 0
✗
0.998 0 0
34 public_view 15
✓
0 0 0.000398
✗
1 0 0
35 feder_govern 123
✓
0.000597 0 0.000995
✗
0.998 0 0.000199
36 close_attent 36
✓
0.000199 0 0.000796
✗
0.998 0 0.000995
37 feder_program 59
✓
0.00279 0 0
✗
0.997 0 0
38 discretionari_spend 16
✓
0.000398 0 0
✗
1 0 0
39 spend_increas 0
✓
0 0 0
✗
1 0 0
40 militari_spend 7
✓
0.000199 0 0
✗
1 0 0
41 public_monei 11
✓
0 0 0
✗
1 0 0
42 feder_agenc 14
✓
0 0 0
✗
1 0 0
43 feder_spend 98
✓
0 0 0
✗
1 0 0
44 common_interest 3
✓
0 0 0
✗
1 0 0
45 discretionari_spend 44
✓
0.000398 0 0
✗
1 0 0
46 job_train 11
✓
0 0 0
✗
1 0 0
47 coast_guard 99
✓
0.00119 0.00199 0
✗
0.997 0 0
48 nation_guard 3
✓
0 0 0
✗
0.997 0.00318 0
49 state_agenc 19
✓
0 0 0
✗
0.997 0.00318 0
50 park_lot 33
✓
0.000796 0 0.000597
✗
0.997 0.00179 0
51 turn_back 76
✓
0.00318 0 0.00139
✗
0.995 0.000597 0
52 save_live 80
✓
0.00239 0 0
✗
0.998 0 0
53 same_kind 11
✓
0.000199 0 0.000199
✗
1 0 0
54 gulf_coast 7
✓
0 0 0
✗
1 0 0.000199
55 local_busi 24
✓
0.000398 0 0
✗
1 0 0
56 real_time 39
✓
0.000796 0 0
✗
0.999 0 0
57 feder_govern 41
✓
0.036 0 0.000995
✗
0.963 0 0
58 ninth_ward 88
✓
0.326 0 0.00955
✗
0.664 0 0.000199
59 job_train 97
✓
0.0643 0 0.0384
✗
0.892 0 0.00577
60 tax_polici 45
✓
0.52 0.000199 0.000199
✗
0.479 0 0.000199
61 low_tax 7
✓
0.0109 0 0
✗
0.989 0.000398 0
62 tax_polici 0
✓
0.000597 0 0.000199
✗
0.999 0.000398 0
63 job_train 6
✓
0.00279 0.000199 0.24
✗
0.755 0.000796 0.00139
64 unit_state 34
✓
0.032 0 0.181
✗
0.569 0.000398 0.217
65 hard_work 90
✓
0.222 0 0.0808
✗
0.472 0.000398 0.225
__END_OF_SPEECH__ 40