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  5. 2008.03.31.address_in_meridian_mississippi

John McCain

This speech titled 2008.03.31.address_in_meridian_mississippi originally had 2861 tokens. In its cue-lag representation, it has 42 cue terms and an average lag of 57.2. 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 young_boi 103
✓
0.0161 0 0.984
✗
0 0 0
2 young_men 116
✓
0 0 0.184
✗
0 0 0.816
3 unit_state 15
✓
0 0 0.0145
✗
0 0 0.985
4 arm_forc 1
✓
0 0 0.00139
✗
0 0 0.999
5 world_war 32
✓
0.00478 0 0.0227
✗
0 0 0.973
6 brigadi_gener 77
✓
0.00259 0 0.77
✗
0.000199 0 0.227
7 gener_washington 31
✓
0.00159 0 0.0561
✗
0.00279 0 0.94
8 nation_histori 14
✓
0.000199 0 0.0326
✗
0.000995 0 0.966
✗
0 0 0.869
10 spend_time 91
✓
0.00438 0.000199 0.17
✗
0 0 0.825
11 young_boi 10
✓
0.00139 0 0.0456
✗
0.00279 0.000199 0.95
✗
0 0 0.428
13 unit_state 28
✓
0 0 0.0722
✗
0 0 0.928
14 teddi_roosevelt 9
✓
0 0 0.0205
✗
0 0 0.98
15 world_war 13
✓
0.000199 0 0.0259
✗
0 0 0.974
16 aircraft_carrier 20
✓
0 0 0.00378
✗
0 0 0.996
17 __NUM___year 16
✓
0.000199 0 0.0884
✗
0 0 0.911
18 adult_life 86
✓
0 0 0.0308
✗
0 0 0.969
19 peopl_love 43
✓
0.00239 0.000398 0.0203
✗
0 0 0.977
20 great_moral 15
✓
0.000398 0 0.00478
✗
0.00179 0.000796 0.992
21 unit_state 31
✓
0.000398 0 0.0207
✗
0.000398 0.000398 0.978
22 militari_leader 66
✓
0.000199 0 0.0245
✗
0 0.000199 0.975
23 task_forc 77
✓
0.000995 0.000199 0.0267
✗
0.000199 0.000199 0.972
24 war_end 92
✓
0.000796 0 0.046
✗
0.000398 0.000199 0.953
25 heart_attack 119
✓
0.033 0.00199 0.456
✗
0.000398 0.000199 0.509
26 vietnam_war 78
✓
0.00179 0.00458 0.192
✗
0.00239 0.00657 0.793
27 long_tradit 175
✓
0.0422 0.176 0.14
✗
0.00159 0.0129 0.627
28 militari_servic 2
✓
0.000199 0.00199 0.000796
✗
0.0175 0.215 0.764
29 wider_world 170
✓
0.0472 0.00179 0.0915
✗
0.0153 0.207 0.638
30 social_institut 39
✓
0.0561 0.000796 0.0563
✗
0.0597 0.201 0.626
31 health_care 194
✓
0.853 0.000199 0.0103
✗
0.0708 0.0557 0.00995
32 tax_polici 20
✓
0.0846 0 0
✗
0.909 0.00199 0.00458
33 govern_spend 22
✓
0.0346 0 0
✗
0.963 0 0.00219
34 public_educ 33
✓
0.0392 0 0
✗
0.961 0 0
35 good_teacher 21
✓
0 0 0
✗
1 0 0
36 global_economi 19
✓
0 0 0
✗
1 0 0
37 econom_downturn 51
✓
0.000597 0 0
✗
0.999 0 0
38 global_economi 13
✓
0.000398 0 0.000199
✗
0.999 0 0
39 children_learn 74
✓
0.00299 0 0.0726
✗
0.924 0 0.000199
40 import_thing 42
✓
0.0207 0 0.871
✗
0.0454 0 0.0625
41 young_peopl 41
✓
0 0 0.152
✗
0.00219 0 0.846
42 earli_ag 44
✓
0.000597 0 0.0995
✗
0.000995 0 0.899
__END_OF_SPEECH__ 372