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  5. 2012.09.01.687.Sioux City.IA

Barack Obama

This speech titled 2012.09.01.687.Sioux City.IA originally had 3028 tokens. In its cue-lag representation, it has 104 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 north_carolina 119
✓
0.998 0.00179 0.000597
✗
0 0 0
2 __NUM___year_ago 24
✓
0.109 0 0.00219
✗
0.889 0 0
3 live_room 30
✓
0.129 0 0.000199
✗
0.871 0 0
4 __NUM___dai 97
✓
0.36 0 0.0589
✗
0.581 0 0
5 mitt_romnei 79
✓
0.00239 0 0.946
✗
0.00657 0 0.0452
6 creat_job 5
✓
0.00995 0.000199 0.0205
✗
0.00856 0 0.961
7 interest_thing 32
✓
0.437 0 0.0575
✗
0.0169 0 0.489
8 __NUM___dai 7
✓
0.208 0 0.00776
✗
0.433 0 0.351
9 middl_class 64
✓
0.113 0.00358 0.36
✗
0.251 0 0.272
10 tax_cut 142
✓
0 0.00458 0.639
✗
0.000199 0.00259 0.354
11 make___MONEY__ 3
✓
0 0 0.0149
✗
0 0.00716 0.978
12 __MONEY___million 0
✓
0.00119 0 0.00279
✗
0 0.00697 0.989
13 work_famili 15
✓
0.00418 0.000597 0.0581
✗
0.000199 0.00597 0.931
14 roll_back 20
✓
0 0 0.0786
✗
0 0 0.921
15 financi_reform 1
✓
0 0 0.00438
✗
0 0 0.996
16 financi_crisi 6
✓
0 0 0.0257
✗
0 0 0.974
17 roll_back 13
✓
0 0 0.0444
✗
0 0 0.956
18 health_care 24
✓
0.0225 0 0.0762
✗
0 0 0.901
19 voucher_program 30
✓
0.000398 0 0.121
✗
0.00239 0 0.876
20 creat_job 68
✓
0.0476 0.000199 0.223
✗
0 0 0.729
21 middl_class 12
✓
0.0665 0.000597 0.0376
✗
0.0452 0.000199 0.85
22 good_health 86
✓
0.924 0 0
✗
0.0758 0 0
23 health_care 0
✓
0.00517 0 0
✗
0.995 0 0
24 higher_educ 9
✓
0.0446 0 0
✗
0.955 0 0
25 __NUM___year 93
✓
0.336 0 0.104
✗
0.56 0 0
26 unit_state 22
✓
0.128 0 0.0193
✗
0.789 0 0.0631
27 good_job 65
✓
0.253 0 0.115
✗
0.588 0 0.0438
28 middl_class 4
✓
0.0179 0 0.0265
✗
0.801 0 0.154
29 work_hard 10
✓
0.046 0 0.0304
✗
0.756 0 0.168
30 middl_class 5
✓
0.0193 0.0215 0.132
✗
0.633 0 0.193
31 tax_cut 43
✓
0.00338 0.215 0.493
✗
0.00915 0.0213 0.258
32 cut_tax 38
✓
0 0.0728 0.1
✗
0 0.234 0.593
33 middl_class 2
✓
0 0.00318 0.00756
✗
0 0.306 0.683
34 class_famili 0
✓
0 0.00358 0.00159
✗
0 0.309 0.685
35 cut_tax 3
✓
0 0.0101 0.0107
✗
0 0.313 0.666
36 small_busi 49
✓
0.000398 0.0633 0.0987
✗
0 0.319 0.519
37 incom_tax 6
✓
0 0.000398 0.0155
✗
0 0.38 0.604
38 privat_sector 61
✓
0.000398 0 0.504
✗
0 0.00139 0.495
39 outsourc_job 23
✓
0 0 0.079
✗
0 0 0.921
40 auto_industri 14
✓
0 0 0.0519
✗
0 0 0.948
41 american_worker 23
✓
0 0 0.0794
✗
0 0 0.921
42 american_manufactur 2
✓
0 0 0.0109
✗
0 0 0.989
43 auto_industri 7
✓
0 0 0.0253
✗
0 0 0.975
44 tax_break 10
✓
0 0 0.0336
✗
0 0 0.966
45 job_oversea 6
✓
0 0 0.0241
✗
0 0 0.976
46 creat_job 9
✓
0.00338 0 0.0318
✗
0 0 0.965
47 unit_state 16
✓
0.032 0 0.0513
✗
0.00259 0 0.914
48 tax_credit 57
✓
0.0163 0 0.108
✗
0.0103 0 0.866
49 wind_energi 2
✓
0.000199 0 0.000796
✗
0.0257 0 0.973
50 __NUM___year 63
✓
0.0187 0 0.613
✗
0.00159 0 0.367
51 __NUM___employe 8
✓
0 0 0.0639
✗
0 0 0.936
52 __NUM___job 2
✓
0 0 0.00318
✗
0 0 0.997
53 __MONEY___billion 22
✓
0 0 0.0177
✗
0 0 0.982
54 taxpay_subsidi 1
✓
0 0 0.000199
✗
0 0 1
55 oil_compani 2
✓
0 0 0
✗
0 0 1
56 make_monei 3
✓
0 0 0.000597
✗
0 0 0.999
57 tax_break 12
✓
0 0 0.00517
✗
0 0 0.995
58 wind_energi 2
✓
0 0 0
✗
0 0 1
59 creat_job 8
✓
0.129 0.000398 0.0878
✗
0 0 0.783
60 higher_educ 25
✓
0.885 0 0
✗
0.112 0 0.00259
61 young_person 18
✓
0.0808 0 0
✗
0.919 0 0
62 borrow_monei 22
✓
0.103 0 0.00239
✗
0.895 0 0
63 good_answer 25
✓
0.112 0 0
✗
0.888 0 0
64 young_peopl 5
✓
0.0231 0 0.000597
✗
0.976 0 0
65 commun_colleg 70
✓
0.29 0 0
✗
0.71 0 0
66 tax_credit 17
✓
0.0722 0 0.00338
✗
0.924 0 0
67 middl_class 2
✓
0.0135 0 0.0308
✗
0.952 0 0.00318
68 class_famili 0
✓
0.00378 0 0.00358
✗
0.959 0 0.0336
69 __NUM___year 13
✓
0.0874 0 0.00159
✗
0.904 0 0.00697
70 colleg_tuition 2
✓
0.0207 0 0
✗
0.979 0 0
71 higher_educ 9
✓
0.0464 0 0
✗
0.954 0 0
72 health_care_system 39
✓
0.209 0 0
✗
0.791 0 0
73 insur_compani 4
✓
0.00119 0 0
✗
0.999 0 0
74 move_forward 29
✓
0.00418 0 0
✗
0.996 0 0
75 cut_cost 7
✓
0.000796 0 0
✗
0.999 0 0
76 save_live 6
✓
0.000597 0 0
✗
0.999 0 0
77 __NUM___million 55
✓
0.0157 0 0.000199
✗
0.984 0 0
78 young_peopl 1
✓
0.000398 0 0
✗
1 0 0
79 save_monei 13
✓
0.00139 0 0
✗
0.999 0 0
80 gain_access 6
✓
0.000398 0 0
✗
1 0 0
81 prevent_care 2
✓
0 0 0
✗
1 0 0
82 __NUM___year 15
✓
0.352 0 0.0929
✗
0.555 0 0
83 american_peopl 67
✓
0.728 0 0.0129
✗
0.251 0 0.00736
84 troop_home 18
✓
0.0985 0 0.000995
✗
0.893 0 0.00716
85 bin_laden 43
✓
0.166 0 0.135
✗
0.692 0 0.00697
86 put_forward 6
✓
0.0304 0 0.05
✗
0.783 0 0.136
87 troop_home 7
✓
0.193 0 0.000398
✗
0.784 0 0.0221
88 health_care 88
✓
0.294 0.000398 0.188
✗
0.51 0 0.00736
89 __NUM___month 48
✓
0.152 0 0.204
✗
0.497 0 0.148
90 same_thing 44
✓
0.0386 0 0.513
✗
0.15 0 0.298
91 rais_tax 31
✓
0 0.00358 0.268
✗
0 0 0.728
92 middl_class 2
✓
0 0 0.00955
✗
0 0.00318 0.987
93 class_famili 0
✓
0 0 0.00199
✗
0 0.00318 0.995
94 tax_cut 5
✓
0.00139 0.000398 0.0193
✗
0 0.00299 0.976
95 __MONEY___million 56
✓
0.459 0.000796 0.0997
✗
0.00119 0.00179 0.437
96 young_peopl 55
✓
0.558 0 0.0195
✗
0.349 0 0.0734
97 good_job 130
✓
0.536 0.000199 0.00816
✗
0.453 0 0.00279
98 young_peopl 13
✓
0.0681 0 0.000796
✗
0.929 0 0.00239
99 bring_home 35
✓
0.156 0 0
✗
0.844 0 0
100 turn_back 39
✓
0.179 0 0
✗
0.821 0 0
101 phone_call 32
✓
0.147 0 0
✗
0.853 0 0
102 unit_state 53
✓
0.223 0 0.00199
✗
0.775 0 0
103 god_bless 9
✓
0.04 0 0
✗
0.96 0 0
104 unit_state 7
✓
0.0354 0 0.00836
✗
0.956 0 0
__END_OF_SPEECH__ 3