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  5. 2012.09.01.686.Urbandale.IA

Barack Obama

This speech titled 2012.09.01.686.Urbandale.IA originally had 2497 tokens. In its cue-lag representation, it has 87 cue terms and an average lag of 24.5. 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 north_carolina 204
✓
0.998 0.00159 0.000398
✗
0 0 0
2 __NUM___year_ago 23
✓
0.106 0 0.00139
✗
0.893 0 0
3 live_room 24
✓
0.11 0 0.000199
✗
0.889 0 0.000199
4 __NUM___dai 82
✓
0.326 0 0.0384
✗
0.636 0 0.000199
5 creat_job 79
✓
0.0583 0.00119 0.806
✗
0.106 0 0.0285
6 middl_class 74
✓
0.0511 0.000398 0.296
✗
0.0448 0.000597 0.608
7 tax_cut 79
✓
0.000398 0 0.333
✗
0.000199 0.000199 0.666
8 make___MONEY__ 3
✓
0 0 0.0135
✗
0 0 0.986
9 __MONEY___million 0
✓
0.000199 0 0.00318
✗
0 0 0.997
10 financi_reform 26
✓
0.000199 0 0.0862
✗
0 0 0.914
11 financi_crisi 7
✓
0.00219 0 0.0253
✗
0.000199 0 0.972
12 health_care 19
✓
0.0462 0.000199 0.0633
✗
0.00199 0 0.888
13 creat_job 74
✓
0.0207 0 0.27
✗
0.00637 0 0.703
14 middl_class 11
✓
0.0217 0.000199 0.0388
✗
0.0245 0 0.915
15 busi_owner 54
✓
0.149 0.0101 0.153
✗
0.0287 0 0.659
16 middl_class 6
✓
0.105 0.000199 0.0169
✗
0.17 0.00716 0.7
17 good_health 25
✓
0.755 0 0
✗
0.245 0 0
18 health_care 0
✓
0.00577 0 0
✗
0.994 0 0
19 higher_educ 4
✓
0.0257 0 0
✗
0.974 0 0
20 __NUM___year 97
✓
0.287 0 0.244
✗
0.469 0 0
21 unit_state 26
✓
0.114 0 0.0742
✗
0.614 0 0.198
22 good_job 29
✓
0.0744 0.000597 0.225
✗
0.465 0 0.235
23 middl_class 4
✓
0.00896 0.000597 0.115
✗
0.423 0.000398 0.452
24 tax_cut 39
✓
0.00119 0.00537 0.496
✗
0.00398 0.000597 0.493
25 cut_tax 25
✓
0 0.000796 0.0903
✗
0 0.00557 0.903
26 outsourc_job 106
✓
0 0 0.354
✗
0 0 0.646
27 million_job 16
✓
0 0 0.0551
✗
0 0 0.945
28 american_industri 7
✓
0 0 0.0271
✗
0 0 0.973
29 american_worker 10
✓
0 0 0.0362
✗
0 0 0.964
30 american_manufactur 2
✓
0 0 0.00955
✗
0 0 0.99
31 auto_industri 6
✓
0 0 0.0235
✗
0 0 0.977
32 tax_break 17
✓
0 0 0.0583
✗
0 0 0.942
33 job_oversea 5
✓
0 0 0.0213
✗
0 0 0.979
34 creat_job 8
✓
0.0689 0 0.0283
✗
0 0 0.903
35 de_moin 6
✓
0.446 0 0.0121
✗
0.0665 0 0.476
36 unit_state 11
✓
0.373 0 0.00577
✗
0.483 0 0.138
37 borrow_monei 13
✓
0.171 0 0.00139
✗
0.804 0 0.0233
38 young_person 11
✓
0.0764 0 0
✗
0.923 0 0.000199
39 young_peopl 41
✓
0.176 0 0.000398
✗
0.824 0 0
40 commun_colleg 24
✓
0.113 0 0
✗
0.887 0 0
41 tax_credit 19
✓
0.0788 0 0.0111
✗
0.91 0 0
42 __NUM___year 10
✓
0.046 0 0.00318
✗
0.94 0 0.0111
43 higher_educ 11
✓
0.0482 0 0.00159
✗
0.937 0 0.0135
44 big_oil 36
✓
0.000199 0 0.985
✗
0 0 0.0151
45 oil_compani 0
✓
0 0 0.000199
✗
0 0 1
46 wind_turbin 50
✓
0 0 0.00199
✗
0 0 0.998
47 tax_credit 7
✓
0 0 0.000398
✗
0 0 1
48 wind_energi 2
✓
0 0 0.000199
✗
0 0 1
49 run_mate 14
✓
0 0 0.000597
✗
0 0 0.999
50 __NUM___job 7
✓
0 0 0
✗
0 0 1
51 __MONEY___billion 27
✓
0 0 0.000597
✗
0 0 0.999
52 taxpay_subsidi 2
✓
0 0 0
✗
0 0 1
53 big_oil 4
✓
0 0 0.000199
✗
0 0 1
54 oil_compani 0
✓
0 0 0
✗
0 0 1
55 make_monei 3
✓
0 0 0
✗
0 0 1
56 energi_sourc 16
✓
0.0119 0 0.00239
✗
0 0 0.986
57 health_care_system 30
✓
0.989 0 0
✗
0.0105 0 0
58 insur_compani 4
✓
0.00139 0 0.000199
✗
0.998 0 0
59 move_forward 19
✓
0.00239 0 0
✗
0.998 0 0
60 health_care 4
✓
0.000796 0 0
✗
0.999 0 0
61 cut_cost 4
✓
0.000398 0 0
✗
1 0 0
62 save_live 6
✓
0.000995 0 0
✗
0.999 0 0
63 past___NUM___year 11
✓
0.955 0 0.00119
✗
0.0436 0 0
64 move_forward 6
✓
0.0382 0 0.00239
✗
0.959 0 0.000796
65 __NUM___troop 33
✓
0.172 0 0
✗
0.828 0 0
66 bin_laden 40
✓
0.173 0 0.0131
✗
0.814 0 0
67 gi_bill 67
✓
0.289 0 0
✗
0.711 0 0
68 move_forward 59
✓
0.188 0.000398 0.23
✗
0.582 0 0
69 __NUM___month 23
✓
0.0704 0 0.162
✗
0.562 0 0.206
70 same_thing 21
✓
0.0245 0 0.419
✗
0.215 0 0.341
71 econom_plan 25
✓
0 0 0.3
✗
0.000597 0 0.7
72 rais_tax 6
✓
0 0 0.0235
✗
0 0 0.977
73 middl_class 2
✓
0.000398 0 0.00736
✗
0 0 0.992
74 class_famili 0
✓
0 0 0.00358
✗
0.000398 0 0.996
75 tax_cut 5
✓
0.00318 0.000398 0.0169
✗
0.000398 0 0.979
76 neg_ad 37
✓
0.996 0 0
✗
0.00259 0 0.00119
77 __MONEY___million 15
✓
0.0641 0.000199 0.033
✗
0.901 0 0.00119
78 good_job 157
✓
0.593 0 0.00796
✗
0.398 0 0.000796
79 young_peopl 13
✓
0.0659 0 0
✗
0.934 0 0.000597
80 good_teacher 8
✓
0.0454 0 0
✗
0.955 0 0
81 bring_home 18
✓
0.0804 0 0
✗
0.92 0 0
82 work_hard 26
✓
0.125 0 0.000398
✗
0.875 0 0
83 turn_back 10
✓
0.0476 0 0
✗
0.952 0 0
84 phone_call 34
✓
0.151 0 0
✗
0.849 0 0
85 unit_state 49
✓
0.214 0 0.000796
✗
0.786 0 0
86 god_bless 9
✓
0.0472 0 0
✗
0.953 0 0
87 unit_state 7
✓
0.0388 0 0.00856
✗
0.953 0 0
__END_OF_SPEECH__ 3