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  5. 2012.10.23.823.Dayton.OH

Barack Obama

This speech titled 2012.10.23.823.Dayton.OH originally had 3338 tokens. In its cue-lag representation, it has 106 cue terms and an average lag of 27.9. 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 joe_biden 62
✓
0.998 0.000199 0.00199
✗
0 0 0
2 vice_presid 60
✓
0.0191 0 0
✗
0.981 0 0
3 joe_biden 1
✓
0.000199 0 0
✗
1 0 0
4 foreign_polici 7
✓
0.00378 0 0
✗
0.996 0 0
5 vice_presid 3
✓
0.00219 0 0.000199
✗
0.998 0 0
6 middl_class 38
✓
0.603 0.00139 0.172
✗
0.224 0 0.000199
7 vice_presid 8
✓
0.0639 0 0.00517
✗
0.797 0.000995 0.133
8 singl_dai 14
✓
0.344 0 0.00657
✗
0.617 0.000199 0.0314
9 __NUM___week 61
✓
0.279 0 0.000199
✗
0.72 0 0.000995
10 vote_booth 19
✓
0.0832 0 0
✗
0.917 0 0
11 made_clear 112
✓
0.0931 0.00438 0.791
✗
0.112 0 0
12 mitt_romnei 9
✓
0.00279 0 0.21
✗
0.0255 0 0.762
13 american_peopl 25
✓
0.204 0 0.0585
✗
0.0237 0 0.714
14 joe_biden 29
✓
0.0575 0.000199 0.0183
✗
0.193 0 0.731
15 nation_secur 3
✓
0.0241 0 0.000597
✗
0.24 0 0.736
16 bin_laden 18
✓
0.121 0.000199 0.0101
✗
0.208 0 0.66
17 unit_state 41
✓
0.23 0 0.00637
✗
0.27 0 0.493
18 foreign_polici 24
✓
0.0876 0 0
✗
0.447 0 0.466
19 month_ago 41
✓
0.188 0 0.000597
✗
0.448 0 0.363
20 __NUM___troop 10
✓
0.0876 0 0
✗
0.6 0 0.312
21 back_home 12
✓
0.0804 0 0
✗
0.646 0 0.274
22 troop_home 29
✓
0.0999 0 0.000398
✗
0.634 0 0.266
23 bin_laden 7
✓
0.0299 0 0.0283
✗
0.687 0 0.255
24 week_ago 109
✓
0.073 0 0.797
✗
0.078 0 0.0521
25 tax_cut 27
✓
0.000398 0.000398 0.259
✗
0.00159 0 0.739
26 top___NUM___percent 17
✓
0 0 0.0635
✗
0 0 0.937
27 articl_titl 32
✓
0.0203 0 0.108
✗
0 0 0.871
28 same_thing 50
✓
0.00796 0 0.174
✗
0.00398 0 0.814
29 auto_industri 22
✓
0.000398 0 0.09
✗
0.000199 0 0.909
30 mitt_romnei 39
✓
0 0 0.136
✗
0 0 0.864
31 auto_industri 6
✓
0 0 0.0231
✗
0 0 0.977
32 american_worker 125
✓
0.00139 0 0.406
✗
0 0 0.592
33 american_manufactur 4
✓
0 0 0.0177
✗
0.000199 0 0.982
34 __NUM___year_ago 53
✓
0.985 0 0.00139
✗
0.000199 0 0.0129
35 __NUM___dai 4
✓
0.0326 0 0
✗
0.966 0 0.000995
36 dai_ago 0
✓
0.00438 0 0.000398
✗
0.994 0 0.000995
37 web_site 12
✓
0.0235 0 0.554
✗
0.421 0 0.00199
38 __NUM___year 13
✓
0.0806 0 0.0366
✗
0.409 0 0.474
39 presidenti_campaign 82
✓
0.579 0 0.0352
✗
0.318 0 0.0679
40 smart_peopl 47
✓
0.194 0 0.112
✗
0.63 0 0.0643
41 creat_job 27
✓
0.137 0 0.0478
✗
0.69 0 0.125
42 foreign_polici 12
✓
0.212 0 0.000398
✗
0.781 0 0.00637
43 cold_war 8
✓
0.0185 0 0.000597
✗
0.975 0 0.00597
44 social_polici 4
✓
0.0205 0 0.00498
✗
0.971 0 0.00358
45 econom_polici 8
✓
0.0139 0 0.0299
✗
0.949 0 0.00736
46 joe_biden 63
✓
0.0517 0 0.0571
✗
0.865 0 0.0261
47 auto_industri 97
✓
0.049 0 0.428
✗
0.466 0 0.0563
48 joe_biden 27
✓
0.203 0.00318 0.0277
✗
0.501 0 0.264
49 american_peopl 49
✓
0.516 0 0.0444
✗
0.352 0 0.0876
50 tough_time 18
✓
0.19 0 0.0772
✗
0.627 0 0.105
51 __NUM___million 14
✓
0.0285 0.000398 0.415
✗
0.384 0 0.173
52 unemploy_rate 19
✓
0.000199 0 0.444
✗
0.000597 0 0.555
53 lowest_level 5
✓
0 0 0.0191
✗
0 0 0.981
54 stock_market 10
✓
0.000398 0 0.043
✗
0 0 0.957
55 assembl_line 4
✓
0.00796 0 0.0133
✗
0.000398 0 0.978
56 move_forward 11
✓
0.00239 0 0.0408
✗
0.00517 0 0.952
57 year_ago 2
✓
0.000398 0 0.0133
✗
0.00517 0 0.981
58 cut_tax 5
✓
0 0 0.0255
✗
0 0 0.975
59 middl_class 2
✓
0 0 0.0105
✗
0 0 0.989
60 class_famili 0
✓
0 0 0.00299
✗
0 0 0.997
61 cut_tax 10
✓
0 0.000199 0.0336
✗
0 0 0.966
62 small_busi 2
✓
0 0 0.0107
✗
0 0.000199 0.989
63 __NUM___time 3
✓
0 0 0.0135
✗
0 0 0.986
64 wall_street 26
✓
0.00557 0 0.0913
✗
0 0 0.903
65 auto_industri 51
✓
0.00318 0 0.172
✗
0 0 0.825
66 move_forward 76
✓
0.216 0 0.189
✗
0.00199 0 0.593
67 unit_state 23
✓
0.0521 0 0.088
✗
0.166 0 0.694
68 middl_class 33
✓
0.00338 0.000199 0.286
✗
0.0177 0 0.693
69 mitt_romnei 4
✓
0 0 0.036
✗
0.00299 0 0.961
70 america_futur 170
✓
0.0358 0 0.521
✗
0 0 0.444
71 point_plan 14
✓
0 0 0.0852
✗
0 0 0.915
72 __NUM___year 24
✓
0.00498 0 0.0822
✗
0 0 0.913
73 manufactur_base 19
✓
0.000597 0 0.0704
✗
0.000199 0 0.929
74 tax_break 10
✓
0 0 0.0856
✗
0 0 0.914
75 job_oversea 6
✓
0 0 0.0269
✗
0 0 0.973
76 tax_break 6
✓
0 0 0.0213
✗
0 0 0.979
77 small_busi 2
✓
0 0 0.00796
✗
0 0 0.992
78 creat_job 4
✓
0.000597 0 0.0159
✗
0 0 0.983
79 unit_state 10
✓
0.0103 0 0.0316
✗
0.000398 0 0.958
80 foreign_oil 43
✓
0 0 0.0784
✗
0 0 0.922
81 wind_turbin 57
✓
0.00179 0 0.00736
✗
0 0 0.991
82 unit_state 13
✓
0.476 0 0.0205
✗
0.00179 0 0.502
83 scienc_teacher 47
✓
0.617 0 0
✗
0.382 0 0.000597
84 __NUM___million 7
✓
0.0304 0 0.000597
✗
0.969 0 0.000199
85 commun_colleg 3
✓
0.0163 0 0
✗
0.984 0 0
86 young_peopl 46
✓
0.19 0 0.000597
✗
0.81 0 0
87 colleg_educ 4
✓
0.0185 0 0.000597
✗
0.981 0 0
88 __MONEY___trillion 21
✓
0 0 0.998
✗
0.00179 0 0.000597
89 web_site 13
✓
0 0 0.0486
✗
0 0 0.951
90 __NUM___year 15
✓
0.000398 0 0.0547
✗
0 0 0.945
91 cut_spend 2
✓
0 0 0.0101
✗
0.000199 0 0.99
92 insur_compani 74
✓
0.0384 0 0.231
✗
0 0 0.73
93 close_door 120
✓
0.956 0.00139 0.0159
✗
0.00418 0 0.0225
94 singl_dai 52
✓
0.249 0 0.0105
✗
0.736 0 0.00498
95 creat_job 13
✓
0.0601 0.000199 0.0277
✗
0.9 0 0.0125
96 middl_class 13
✓
0.0953 0 0.000995
✗
0.898 0 0.00557
97 class_job 0
✓
0.00796 0 0
✗
0.99 0 0.00199
98 work_hard 38
✓
0.172 0 0.00438
✗
0.823 0 0.000597
99 foreign_polici 82
✓
0.337 0 0.00119
✗
0.662 0 0
100 turn_back 28
✓
0.135 0 0
✗
0.865 0 0
101 __NUM___year 3
✓
0.0165 0 0.00716
✗
0.976 0 0
102 phone_call 126
✓
0.496 0 0
✗
0.504 0 0
103 montgomeri_counti 6
✓
0.0302 0.000995 0.00279
✗
0.966 0 0
104 unit_state 22
✓
0.111 0 0.00139
✗
0.887 0 0.000199
105 god_bless 9
✓
0.0476 0 0
✗
0.952 0 0
106 unit_state 7
✓
0.0346 0 0.00677
✗
0.959 0 0
__END_OF_SPEECH__ 3