1. Home
  2. Results: Stage 2
  3. Barack Obama
  4. 2012 General
  5. 2012.10.24.824.Davenport.IA

Barack Obama

This speech titled 2012.10.24.824.Davenport.IA originally had 2929 tokens. In its cue-lag representation, it has 99 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 __NUM___year_ago 212
✓
0.997 0 0.00318
✗
0 0 0
2 front_porch 5
✓
0.0249 0 0.000199
✗
0.975 0 0.000398
3 sale_pitch 50
✓
0.000398 0 0.998
✗
0.000597 0 0.000597
4 point_plan 24
✓
0.000199 0 0.0794
✗
0 0 0.92
5 lower_tax 44
✓
0 0.00139 0.15
✗
0 0 0.849
6 tax_rate 0
✓
0 0 0.00299
✗
0 0.00139 0.996
7 job_oversea 36
✓
0 0 0.124
✗
0 0 0.876
8 middl_class 12
✓
0.00458 0 0.0392
✗
0 0 0.956
9 privat_sector 22
✓
0.0111 0 0.0704
✗
0.00239 0 0.916
10 __NUM___week 23
✓
0.856 0 0.00955
✗
0.0127 0 0.122
11 tax_cut 99
✓
0.00199 0.00159 0.906
✗
0.00259 0 0.0876
12 top___NUM___percent 17
✓
0 0 0.0699
✗
0 0.000199 0.93
13 week_ago 28
✓
0.0247 0 0.0858
✗
0 0 0.89
14 articl_titl 51
✓
0.0147 0 0.181
✗
0.00796 0 0.796
15 web_site 24
✓
0.07 0 0.0774
✗
0.0177 0 0.835
16 __NUM___year 9
✓
0.351 0 0.0197
✗
0.0852 0 0.544
17 __NUM___dai 12
✓
0.587 0 0
✗
0.408 0 0.00438
18 dai_ago 0
✓
0.00796 0 0
✗
0.99 0 0.00219
19 smart_peopl 48
✓
0.166 0 0.191
✗
0.641 0 0.000995
20 econom_plan 35
✓
0 0 0.829
✗
0.00179 0 0.17
21 creat___NUM__ 36
✓
0.000199 0 0.113
✗
0 0 0.887
22 __NUM___million_job 0
✓
0 0 0.00299
✗
0 0 0.997
23 creat___NUM__ 12
✓
0 0 0.0428
✗
0 0 0.957
24 __NUM___million_job 0
✓
0 0 0.00299
✗
0 0 0.997
25 creat_job 17
✓
0.000796 0 0.0569
✗
0 0 0.942
26 spend___MONEY__ 9
✓
0 0 0.0332
✗
0 0 0.967
27 __MONEY___trillion 0
✓
0 0 0.00299
✗
0 0 0.997
28 tax_cut 2
✓
0 0 0.0121
✗
0 0 0.988
29 __MONEY___trillion 6
✓
0 0 0.0231
✗
0 0 0.977
30 defens_spend 2
✓
0 0 0.00975
✗
0 0 0.99
31 middl_class 26
✓
0.0416 0.000398 0.0792
✗
0 0 0.879
32 creat_job 38
✓
0.11 0.000796 0.11
✗
0.0289 0.000398 0.749
33 presidenti_campaign 39
✓
0.785 0.000199 0.0157
✗
0.115 0 0.0836
34 unit_state 49
✓
0.294 0 0
✗
0.705 0 0.000796
35 state_senat 0
✓
0.00557 0 0
✗
0.994 0 0
36 unit_state 21
✓
0.0997 0 0
✗
0.9 0 0
37 state_senat 0
✓
0.00597 0 0
✗
0.994 0 0
38 __NUM___year_ago 14
✓
0.0653 0 0.00338
✗
0.931 0 0
39 __NUM___year_ago 3
✓
0.0197 0 0.00358
✗
0.974 0 0.00279
40 same_peopl 23
✓
0.0816 0.00199 0.219
✗
0.692 0 0.00577
41 singl_dai 41
✓
0.284 0 0.04
✗
0.58 0 0.0963
42 bin_laden 84
✓
0.0929 0 0.637
✗
0.175 0 0.0949
43 cut_tax 14
✓
0 0 0.305
✗
0 0 0.695
44 middl_class 2
✓
0 0 0.00915
✗
0 0 0.991
45 class_famili 0
✓
0 0 0.00318
✗
0 0 0.997
46 small_busi 2
✓
0.000199 0 0.00896
✗
0 0 0.991
47 wall_street 13
✓
0.00219 0 0.0438
✗
0 0 0.954
48 american_worker 44
✓
0.00398 0.000199 0.147
✗
0.000199 0 0.848
49 auto_industri 35
✓
0 0 0.119
✗
0 0 0.881
50 move_forward 15
✓
0.00159 0 0.0535
✗
0 0 0.945
51 __NUM___million_job 3
✓
0 0 0.0129
✗
0 0 0.987
52 great_recess 4
✓
0 0 0.0159
✗
0 0 0.984
53 __NUM___million 9
✓
0.00517 0 0.0318
✗
0 0 0.963
54 highest_level 12
✓
0.0125 0 0.0432
✗
0.00358 0 0.941
55 lowest_level 10
✓
0.000796 0 0.043
✗
0.00517 0 0.951
56 assembl_line 13
✓
0.677 0 0.0157
✗
0.00557 0 0.302
57 turn_back 20
✓
0.385 0 0.000597
✗
0.61 0 0.00418
58 unit_state 40
✓
0.134 0 0.248
✗
0.614 0 0.00358
59 creat_job 33
✓
0.00637 0.000199 0.732
✗
0.0388 0 0.223
60 middl_class 13
✓
0.00139 0 0.0878
✗
0.00498 0 0.906
61 mitt_romnei 4
✓
0 0 0.0255
✗
0.000796 0 0.974
62 america_futur 139
✓
0.0177 0 0.438
✗
0 0 0.545
63 tax_break 9
✓
0 0 0.0513
✗
0 0 0.949
64 job_oversea 6
✓
0 0 0.0237
✗
0 0 0.976
65 small_busi 5
✓
0 0 0.0183
✗
0 0 0.982
66 creat_job 5
✓
0.000398 0 0.0233
✗
0 0 0.976
67 unit_state 5
✓
0.00856 0 0.0161
✗
0 0 0.975
68 foreign_oil 43
✓
0 0 0.0754
✗
0 0 0.925
69 clean_energi 44
✓
0.00139 0 0.00597
✗
0 0 0.993
70 wind_turbin 52
✓
0.00199 0 0.00498
✗
0.000398 0 0.993
71 unit_state 18
✓
0.558 0 0.0209
✗
0.00219 0 0.419
72 scienc_teacher 44
✓
0.548 0 0
✗
0.452 0 0
73 __NUM___million 3
✓
0.0147 0 0.000398
✗
0.985 0 0
74 commun_colleg 3
✓
0.0205 0 0
✗
0.98 0 0
75 young_peopl 27
✓
0.123 0 0.000199
✗
0.877 0 0
76 higher_educ 4
✓
0.0205 0 0
✗
0.98 0 0
77 __MONEY___trillion 21
✓
0.000199 0 0.993
✗
0.00577 0 0.000796
78 __NUM___year 4
✓
0.00816 0 0.0149
✗
0.00557 0 0.971
79 insur_compani 79
✓
0.0376 0 0.264
✗
0.00199 0 0.697
80 middl_class 124
✓
0.965 0.000995 0.0119
✗
0.00517 0 0.0169
81 class_job 0
✓
0.0191 0 0
✗
0.965 0.000995 0.0145
82 cut_tax 61
✓
0.00378 0.0241 0.947
✗
0.0121 0.000995 0.0123
83 work_hard 17
✓
0.704 0 0.0199
✗
0.0157 0 0.26
84 young_peopl 55
✓
0.429 0 0.00736
✗
0.545 0 0.0183
85 foreign_polici 49
✓
0.241 0 0.000398
✗
0.759 0 0
86 turn_back 39
✓
0.156 0 0
✗
0.844 0 0
87 __NUM___year 3
✓
0.0147 0 0.00318
✗
0.982 0 0
88 fair_share 45
✓
0.197 0 0.000995
✗
0.801 0 0.000199
89 nativ_american 21
✓
0.0979 0 0
✗
0.902 0 0
90 tough_time 60
✓
0.243 0 0.00239
✗
0.754 0 0
91 __NUM___year 4
✓
0.0213 0 0.00119
✗
0.975 0 0.00219
92 bounc_back 15
✓
0.0716 0 0
✗
0.928 0 0
93 american_peopl 10
✓
0.046 0 0
✗
0.954 0 0
94 tough_time 5
✓
0.0245 0 0
✗
0.976 0 0
95 turn_back 23
✓
0.0989 0 0
✗
0.901 0 0
96 move_forward 17
✓
0.0786 0.000398 0.0209
✗
0.9 0 0
97 unit_state 141
✓
0.546 0 0.00338
✗
0.45 0 0.000398
98 god_bless 9
✓
0.0503 0 0
✗
0.95 0 0
99 unit_state 6
✓
0.0293 0 0.00517
✗
0.966 0 0
__END_OF_SPEECH__ 3