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  5. 2012.10.24.825.Denver.CO

Barack Obama

This speech titled 2012.10.24.825.Denver.CO originally had 2566 tokens. In its cue-lag representation, it has 88 cue terms and an average lag of 25.7. 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 good_friend 72
✓
0.995 0.000995 0.00418
✗
0 0 0
2 hour_dai 149
✓
0.548 0.00159 0.00816
✗
0.442 0.000199 0
3 secret_ballot 16
✓
0.0802 0 0.000199
✗
0.919 0 0.000199
4 tv_ad 80
✓
0.318 0 0.0394
✗
0.642 0 0.000199
5 sale_pitch 25
✓
0 0 0.963
✗
0.00119 0 0.0354
6 point_plan 12
✓
0 0 0.0448
✗
0 0 0.955
7 lower_tax 62
✓
0 0 0.2
✗
0 0 0.8
8 tax_rate 0
✓
0 0 0.00358
✗
0 0 0.996
9 wall_street 10
✓
0.000199 0 0.0394
✗
0 0 0.96
10 sound_familiar 7
✓
0 0 0.0277
✗
0 0 0.972
11 job_growth 30
✓
0 0 0.0987
✗
0 0 0.901
12 econom_crisi 8
✓
0 0 0.0257
✗
0 0 0.974
13 great_depress 3
✓
0 0 0.0111
✗
0 0 0.989
14 __NUM___year 6
✓
0.00159 0 0.0201
✗
0 0 0.978
15 great_recess 31
✓
0 0 0.0973
✗
0 0 0.903
16 final_week 4
✓
0 0 0.0165
✗
0 0 0.983
17 econom_plan 44
✓
0 0 0.154
✗
0 0 0.846
18 creat_job 5
✓
0.00279 0 0.0175
✗
0 0 0.98
19 unit_state 7
✓
0.0121 0 0.0269
✗
0.00279 0 0.958
20 tax_cut 27
✓
0.00139 0.00159 0.109
✗
0.00139 0 0.887
21 financi_system 168
✓
0.000199 0 0.528
✗
0 0 0.472
22 auto_industri 8
✓
0.00398 0.000199 0.0302
✗
0 0 0.966
23 arab_spring 15
✓
0.359 0.00458 0.0304
✗
0.00378 0.000199 0.602
24 singl_dai 26
✓
0.595 0 0.0105
✗
0.316 0 0.0786
25 __NUM___year 16
✓
0.0862 0 0.00876
✗
0.842 0 0.0633
26 singl_dai 37
✓
0.217 0 0
✗
0.781 0 0.00199
27 set_foot 3
✓
0.0179 0 0
✗
0.982 0 0
28 oval_offic 3
✓
0.0181 0 0.000199
✗
0.982 0 0
29 bin_laden 85
✓
0.113 0 0.675
✗
0.211 0 0.000199
30 cut_tax 16
✓
0 0.000398 0.359
✗
0 0 0.64
31 middl_class 2
✓
0 0 0.00896
✗
0 0.000199 0.991
32 class_famili 0
✓
0 0 0.00378
✗
0 0 0.996
33 small_busi 2
✓
0 0.000199 0.00915
✗
0 0 0.991
34 wall_street 12
✓
0.00159 0 0.0396
✗
0 0 0.959
35 american_worker 41
✓
0.000597 0 0.135
✗
0.000199 0 0.864
36 auto_industri 10
✓
0.000199 0 0.0376
✗
0 0 0.962
37 move_forward 15
✓
0.00179 0 0.0549
✗
0 0 0.943
38 __NUM___million_job 3
✓
0 0 0.0155
✗
0 0 0.984
39 great_recess 4
✓
0 0 0.0149
✗
0 0 0.985
40 __NUM___million 9
✓
0.00458 0 0.0332
✗
0 0 0.962
41 unemploy_rate 16
✓
0.00458 0 0.0643
✗
0.00219 0 0.929
42 assembl_line 11
✓
0.65 0 0.0131
✗
0.00617 0 0.331
43 turn_back 19
✓
0.396 0 0
✗
0.602 0 0.00219
44 move_forward 20
✓
0.0848 0 0.083
✗
0.831 0 0.00159
45 unit_state 22
✓
0.0802 0 0.126
✗
0.719 0 0.0746
46 creat_job 42
✓
0.00597 0.000199 0.804
✗
0.0199 0 0.17
47 middl_class 8
✓
0.000398 0 0.0511
✗
0.00637 0 0.942
48 mitt_romnei 4
✓
0 0 0.0227
✗
0.000796 0 0.977
49 america_futur 159
✓
0.0179 0.000199 0.503
✗
0 0 0.479
50 tax_break 9
✓
0 0 0.049
✗
0.000398 0 0.951
51 job_oversea 5
✓
0 0 0.0185
✗
0 0 0.981
52 small_busi 8
✓
0.000199 0 0.0287
✗
0 0 0.971
53 creat_job 5
✓
0.000995 0 0.0197
✗
0 0 0.979
54 unit_state 5
✓
0.00378 0 0.0157
✗
0.000995 0 0.98
55 foreign_oil 29
✓
0 0 0.042
✗
0 0 0.958
56 natur_ga 19
✓
0 0 0.000995
✗
0 0 0.999
57 clean_energi 31
✓
0 0 0.00159
✗
0 0 0.998
58 wind_turbin 13
✓
0 0 0.000398
✗
0 0 1
59 unit_state 25
✓
0.526 0 0.0374
✗
0 0 0.436
60 scienc_teacher 71
✓
0.633 0 0
✗
0.367 0 0
61 __NUM___million 3
✓
0.0141 0 0.000597
✗
0.985 0 0
62 commun_colleg 3
✓
0.0177 0 0
✗
0.982 0 0
63 __NUM___year 34
✓
0.0575 0 0.637
✗
0.305 0 0.000398
64 __MONEY___trillion 23
✓
0.000199 0 0.414
✗
0.000199 0 0.585
65 __NUM___year 4
✓
0.00657 0 0.0155
✗
0.000398 0 0.978
66 insur_compani 75
✓
0.0599 0 0.222
✗
0.00219 0 0.716
67 rural_commun 47
✓
0.928 0 0.00776
✗
0.0283 0 0.0364
68 same_kind 21
✓
0.104 0 0.0225
✗
0.845 0 0.0287
69 middl_class 47
✓
0.284 0 0.00219
✗
0.712 0 0.00159
70 class_job 0
✓
0.00876 0 0
✗
0.991 0 0.000199
71 small_busi 17
✓
0.0695 0.00876 0.0553
✗
0.866 0 0
72 work_hard 18
✓
0.137 0 0.00199
✗
0.85 0 0.0113
73 young_peopl 40
✓
0.184 0 0.000995
✗
0.814 0 0.000398
74 good_job 21
✓
0.0997 0 0.000597
✗
0.899 0 0.000398
75 young_peopl 9
✓
0.0474 0 0.000398
✗
0.952 0 0
76 futur_gener 15
✓
0.0736 0 0
✗
0.926 0 0
77 foreign_polici 42
✓
0.18 0 0.000199
✗
0.819 0 0
78 turn_back 25
✓
0.117 0 0
✗
0.883 0 0
79 __NUM___year 3
✓
0.0217 0 0.000995
✗
0.977 0 0
80 basic_principl 19
✓
0.0888 0 0
✗
0.911 0 0
81 creat_equal 5
✓
0.0281 0 0.000199
✗
0.972 0 0
82 american_peopl 50
✓
0.219 0 0.000597
✗
0.78 0 0
83 bounc_back 6
✓
0.0328 0 0
✗
0.967 0 0
84 turn_back 15
✓
0.0774 0 0.000199
✗
0.922 0 0
85 phone_call 139
✓
0.523 0 0
✗
0.477 0 0
86 unit_state 29
✓
0.128 0 0.00139
✗
0.871 0 0
87 god_bless 9
✓
0.045 0 0
✗
0.955 0 0
88 unit_state 6
✓
0.0255 0 0.00697
✗
0.968 0 0
__END_OF_SPEECH__ 3