John McCain

This speech titled 2008.09.23.remarks_at_dow_corning_in_freeland_michigan originally had 627 tokens. In its cue-lag representation, it has 33 cue terms and an average lag of 16.1. 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 america_todai 0
0.0273 0 0.973
0 0 0
2 global_economi 7
0.00557 0.000199 0.269
0.0259 0 0.699
3 financi_system 10
0 0 0.141
0 0 0.859
4 year_ago 2
0 0 0.00219
0 0 0.998
5 american_peopl 5
0 0 0.00338
0 0 0.997
6 backroom_deal 9
0 0 0.00378
0 0 0.996
7 freddi_mac 5
0 0 0.00318
0 0 0.997
8 fanni_mae 2
0 0 0.000597
0 0 0.999
9 subprim_mortgag 14
0 0 0.00418
0 0 0.996
10 mortgag_crisi 0
0 0 0.000398
0 0 1
11 pass_legisl 17
0 0 0.00577
0 0 0.994
12 life_save 32
0.00358 0 0.0125
0 0 0.984
13 perfectli_clear 19
0.0378 0 0.00975
0.00438 0 0.948
14 american_peopl 8
0.0699 0 0.00358
0.0426 0 0.884
15 billion_dollar 3
0.0406 0 0.000995
0.115 0 0.844
16 american_peopl 18
0.0109 0 0.00697
0.152 0 0.83
17 ten_thousand 16
0.00617 0 0.00378
0.161 0 0.829
18 thousand_dollar 0
0.000796 0 0.000398
0.167 0 0.832
19 billion_dollar 6
0.00318 0 0.00179
0.166 0 0.829
20 american_peopl 28
0.00796 0 0.0195
0.154 0 0.819
21 trillion_dollar 128
0.0368 0 0.0523
0.129 0 0.782
22 ten_thousand 9
0.00299 0 0.00358
0.161 0 0.832
23 thousand_dollar 0
0.000199 0 0.000796
0.164 0 0.835
24 close_door 52
0.000597 0 0.164
0.0145 0 0.821
25 american_peopl 2
0 0 0.00199
0.0131 0 0.985
26 wall_street 44
0.000199 0 0.0273
0.00119 0 0.971
27 taxpay_dollar 5
0 0 0.00338
0 0 0.997
28 small_busi 10
0.000995 0 0.00299
0 0 0.996
29 busi_owner 0
0 0 0.000597
0.000995 0 0.998
30 wall_street 10
0 0 0.00537
0 0 0.995
31 govern_offici 21
0 0 0.00856
0 0 0.991
32 taxpay_monei 34
0 0 0.0119
0 0 0.988
33 american_peopl 18
0.0117 0 0.0521
0.000398 0 0.936
__END_OF_SPEECH__ 26