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  5. 2012.10.08.791.San Francisco.CA

Barack Obama

This speech titled 2012.10.08.791.San Francisco.CA originally had 3423 tokens. In its cue-lag representation, it has 131 cue terms and an average lag of 23.2. 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 san_francisco 4
✓
0.995 0 0.00498
✗
0 0 0
2 attornei_gener 48
✓
0.225 0 0
✗
0.775 0 0.000199
3 pretti_good 31
✓
0.139 0 0.00139
✗
0.86 0 0
4 good_job 0
✓
0.00418 0 0.000199
✗
0.994 0 0.00119
5 san_francisco 8
✓
0.0394 0 0.000199
✗
0.96 0 0.000597
6 young_men 29
✓
0.13 0 0.000398
✗
0.869 0 0
7 __NUM___year_ago 115
✓
0.405 0 0.134
✗
0.461 0 0.000199
8 bin_laden 60
✓
0.0605 0 0.661
✗
0.174 0 0.104
9 year_ago 5
✓
0.00219 0 0.166
✗
0.0792 0 0.753
10 cut_tax 5
✓
0 0 0.0983
✗
0 0 0.902
11 middl_class 2
✓
0 0 0.00716
✗
0 0 0.993
12 class_famili 0
✓
0 0 0.00338
✗
0 0 0.997
13 cut_tax 9
✓
0 0 0.03
✗
0 0 0.97
14 busi_owner 4
✓
0.000199 0.000199 0.0149
✗
0 0 0.985
15 __NUM___time 5
✓
0 0 0.0223
✗
0 0 0.978
16 wall_street 22
✓
0.00517 0 0.07
✗
0 0 0.925
17 health_care_reform 6
✓
0.00517 0 0.0233
✗
0.00478 0 0.967
18 insur_compani 33
✓
0.0127 0 0.102
✗
0.00935 0 0.876
19 pai_peopl 25
✓
0.0348 0.00458 0.0806
✗
0.0181 0 0.862
20 auto_industri 73
✓
0.000199 0 0.286
✗
0 0 0.713
21 __NUM___year 12
✓
0.00179 0 0.0446
✗
0 0 0.954
22 econom_crisi 5
✓
0.000199 0 0.0181
✗
0.00139 0 0.98
23 __NUM___million 11
✓
0.00219 0 0.042
✗
0 0 0.956
24 unemploy_rate 12
✓
0 0 0.046
✗
0 0 0.954
25 white_hous 15
✓
0.00358 0 0.0486
✗
0 0 0.948
26 lowest_level 4
✓
0.00119 0 0.0189
✗
0.000796 0 0.979
27 young_peopl 58
✓
0.957 0 0.00697
✗
0.00179 0 0.034
28 turn_back 26
✓
0.155 0 0.000398
✗
0.844 0 0.000199
29 __NUM___year 14
✓
0.0623 0 0.106
✗
0.831 0 0.000597
30 unit_state 53
✓
0.15 0 0.29
✗
0.48 0 0.08
31 econom_plan 33
✓
0 0 0.67
✗
0 0 0.33
32 __MONEY___trillion 3
✓
0 0 0.0125
✗
0 0 0.987
33 tax_cut 1
✓
0 0 0.00736
✗
0 0 0.993
34 __NUM___year 12
✓
0.00478 0 0.0412
✗
0 0 0.954
35 tax_cut 36
✓
0 0 0.123
✗
0 0 0.877
36 top___NUM___percent 4
✓
0 0 0.0135
✗
0 0 0.986
37 rais_tax 25
✓
0 0.000398 0.0842
✗
0 0 0.915
38 middl_class 3
✓
0.00159 0 0.0129
✗
0 0.000398 0.985
39 week_ago 17
✓
0.00935 0 0.0641
✗
0.000597 0 0.926
40 mitt_romnei 35
✓
0 0 0.121
✗
0.000199 0 0.879
41 __MONEY___trillion 27
✓
0 0 0.0909
✗
0 0 0.909
42 tax_cut 1
✓
0 0 0.00796
✗
0 0 0.992
43 __MONEY___trillion 8
✓
0 0 0.0304
✗
0 0 0.97
44 tax_cut 1
✓
0 0 0.00677
✗
0 0 0.993
45 mitt_romnei 28
✓
0 0 0.0941
✗
0 0 0.906
46 tax_plan 1
✓
0 0 0.00796
✗
0 0 0.992
47 __MONEY___trillion 2
✓
0 0 0.00836
✗
0 0 0.992
48 tax_plan 16
✓
0 0 0.0492
✗
0 0 0.951
49 wall_street 119
✓
0.0243 0 0.373
✗
0 0 0.602
50 tax_cut 71
✓
0.000995 0.000597 0.25
✗
0 0 0.748
51 clean_energi 13
✓
0.00139 0 0.0452
✗
0.000199 0 0.953
52 roll_back 9
✓
0 0 0.0376
✗
0 0 0.962
53 wall_street_bank 3
✓
0 0 0.0127
✗
0 0 0.987
54 insur_compani 6
✓
0.00159 0 0.0241
✗
0 0 0.974
55 move_forward 41
✓
0.0943 0 0.128
✗
0.000597 0 0.777
56 unit_state 21
✓
0.0342 0 0.0818
✗
0.0718 0 0.812
57 creat_job 27
✓
0.000597 0 0.181
✗
0.00478 0 0.814
58 tax_code 10
✓
0.000199 0.000199 0.0364
✗
0 0 0.963
59 job_oversea 9
✓
0 0 0.0318
✗
0 0 0.968
60 small_busi 5
✓
0.00119 0 0.0213
✗
0 0 0.978
61 unit_state 13
✓
0.0217 0 0.047
✗
0.00119 0 0.93
62 __NUM___year 13
✓
0.00597 0 0.0424
✗
0.0145 0 0.937
63 nation_secur 41
✓
0.00179 0 0.0923
✗
0.00199 0 0.904
64 unit_state 10
✓
0.000199 0 0.00398
✗
0.00139 0 0.994
65 foreign_oil 7
✓
0 0 0.00199
✗
0 0 0.998
66 clean_energi 39
✓
0 0 0.000995
✗
0 0 0.999
67 wind_power 12
✓
0 0 0.000796
✗
0 0 0.999
68 solar_power 2
✓
0 0 0
✗
0 0 1
69 clean_coal 2
✓
0 0 0
✗
0 0 1
70 natur_ga 15
✓
0 0 0.000398
✗
0 0 1
71 oil_compani 33
✓
0 0 0.00318
✗
0 0 0.997
72 __MONEY___billion 4
✓
0 0 0.000199
✗
0 0 1
73 corpor_welfar 8
✓
0 0 0.000597
✗
0 0 0.999
74 clean_energi 11
✓
0 0 0.000398
✗
0 0 1
75 energi_technolog 0
✓
0 0 0.000199
✗
0 0 1
76 technolog_develop 6
✓
0 0 0.000398
✗
0 0 1
77 unit_state 10
✓
0.343 0 0.0203
✗
0 0 0.636
78 educ_system 59
✓
0.685 0 0.0145
✗
0.257 0 0.0432
79 creat_job 6
✓
0.0191 0.000597 0.353
✗
0.577 0 0.0505
80 tax_break 66
✓
0.0824 0.000199 0.452
✗
0.17 0 0.296
81 scienc_teacher 13
✓
0.756 0 0
✗
0.244 0 0
82 earli_childhood 4
✓
0.0131 0 0
✗
0.987 0 0
83 childhood_educ 0
✓
0.00279 0 0
✗
0.997 0 0
84 job_train 3
✓
0.0223 0 0.00219
✗
0.976 0 0
85 __NUM___million 2
✓
0.0115 0 0.000199
✗
0.987 0 0.00159
86 commun_colleg 5
✓
0.0356 0 0
✗
0.964 0 0
87 __NUM___dai 30
✓
0.214 0 0.00159
✗
0.785 0 0
88 put_peopl 40
✓
0.167 0 0.0167
✗
0.816 0 0.000796
89 troop_home 74
✓
0.317 0 0.00279
✗
0.68 0 0.000398
90 put_forward 126
✓
0.00219 0 0.994
✗
0.00219 0 0.00139
91 __MONEY___trillion 2
✓
0 0 0.0141
✗
0 0 0.986
92 __NUM___year 9
✓
0.00179 0 0.03
✗
0 0 0.968
93 trillion_dollar 11
✓
0 0 0.0384
✗
0 0 0.962
94 higher_tax 31
✓
0 0 0.108
✗
0 0 0.892
95 same_rate 6
✓
0 0 0.0251
✗
0 0 0.975
96 bill_clinton 4
✓
0 0 0.0115
✗
0 0 0.988
97 creat___NUM__ 4
✓
0 0 0.0141
✗
0 0 0.986
98 __NUM___million 0
✓
0 0 0.00478
✗
0 0 0.995
99 small_busi 18
✓
0.000796 0.000199 0.0617
✗
0 0 0.937
100 lower_tax 12
✓
0 0 0.0422
✗
0 0 0.958
101 tax_rate 0
✓
0 0 0.00358
✗
0 0 0.996
102 make___MONEY__ 8
✓
0 0 0.0312
✗
0 0 0.969
103 middl_class 19
✓
0 0 0.0649
✗
0 0 0.935
104 class_famili 0
✓
0 0 0.00219
✗
0 0 0.998
105 tax_cut 18
✓
0.000398 0.000398 0.0581
✗
0 0 0.941
106 head_start 34
✓
0.000199 0 0.117
✗
0 0 0.883
107 health_insur 3
✓
0.00239 0 0.0129
✗
0.000199 0 0.984
108 unit_state 54
✓
0.92 0 0.0143
✗
0.000995 0 0.0651
109 san_francisco 3
✓
0.0364 0 0.00179
✗
0.903 0 0.0583
110 health_insur 51
✓
0.0673 0 0.625
✗
0.26 0 0.048
111 borrow_monei 37
✓
0.442 0.000199 0.0832
✗
0.124 0 0.351
112 insur_compani 133
✓
0.0951 0 0.583
✗
0.0862 0 0.235
113 factori_worker 15
✓
0.57 0 0.0219
✗
0.0768 0 0.331
114 colleg_educ 39
✓
0.467 0 0
✗
0.533 0 0.000398
115 gi_bill 11
✓
0.0525 0 0
✗
0.947 0 0
116 pledg_allegi 17
✓
0.0782 0 0
✗
0.922 0 0
117 __NUM___dai 80
✓
0.321 0 0.00338
✗
0.676 0 0
118 special_interest 80
✓
0.338 0 0
✗
0.662 0 0
119 __MONEY___million 7
✓
0.0348 0 0.00498
✗
0.96 0 0
120 women_health 39
✓
0.147 0 0
✗
0.853 0 0
121 health_care 0
✓
0.000995 0 0
✗
0.999 0 0
122 make_decis 12
✓
0.0529 0 0.000199
✗
0.947 0 0
123 american_job 230
✓
0.967 0.000199 0.00577
✗
0.0271 0 0
124 red_state 8
✓
0.0396 0 0
✗
0.96 0 0
125 blue_state 2
✓
0.0119 0 0
✗
0.988 0 0
126 unit_state 8
✓
0.0474 0 0.00119
✗
0.951 0 0
127 san_francisco 32
✓
0.154 0 0.00119
✗
0.845 0 0
128 phone_call 51
✓
0.228 0 0
✗
0.772 0 0
129 unit_state 24
✓
0.106 0 0.00159
✗
0.893 0 0
130 god_bless 9
✓
0.044 0 0
✗
0.956 0 0
131 unit_state 5
✓
0.0221 0 0.00318
✗
0.975 0 0
__END_OF_SPEECH__ 3