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  5. 2012.10.18.814.Manchester.NH

Barack Obama

This speech titled 2012.10.18.814.Manchester.NH originally had 4164 tokens. In its cue-lag representation, it has 149 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 nation_anthem 140
✓
0.789 0.0111 0.2
✗
0 0 0
2 __NUM___dai 20
✓
0.284 0 0
✗
0.711 0 0.00517
3 vote_booth 8
✓
0.0452 0 0
✗
0.955 0 0.000199
4 sale_pitch 36
✓
0.000199 0 0.997
✗
0.00219 0 0.000199
5 point_plan 44
✓
0.000199 0 0.146
✗
0 0 0.854
6 lower_tax 42
✓
0 0 0.143
✗
0 0 0.857
7 job_oversea 30
✓
0 0 0.108
✗
0 0 0.892
8 make_monei 5
✓
0 0 0.0207
✗
0 0 0.979
9 middl_class 15
✓
0.000597 0 0.0782
✗
0 0 0.921
10 class_famili 0
✓
0.000199 0 0.00219
✗
0.000398 0 0.997
11 __NUM___year 19
✓
0.0416 0 0.0641
✗
0 0 0.894
12 american_peopl 5
✓
0.0167 0 0.0195
✗
0.039 0 0.925
13 financi_crisi 21
✓
0.00338 0 0.101
✗
0.0169 0 0.879
14 great_depress 3
✓
0.00517 0 0.0131
✗
0.0193 0 0.962
15 economi_grow 43
✓
0.291 0 0.102
✗
0.0175 0 0.589
16 work_hard 15
✓
0.141 0 0.0332
✗
0.282 0 0.544
17 move_ahead 13
✓
0.0366 0 0.0702
✗
0.353 0 0.54
18 move_forward 64
✓
0.125 0 0.266
✗
0.174 0 0.436
19 unit_state 13
✓
0.0199 0 0.0896
✗
0.224 0 0.667
20 __MONEY___trillion 15
✓
0 0 0.288
✗
0 0 0.712
21 tax_cut 1
✓
0 0 0.00577
✗
0 0 0.994
22 tax_plan 135
✓
0 0 0.433
✗
0 0 0.567
23 rais_tax 20
✓
0 0.000597 0.0663
✗
0 0 0.933
24 middl_class 3
✓
0.000199 0 0.0121
✗
0 0.000398 0.987
25 creat___NUM__ 27
✓
0 0 0.0917
✗
0 0 0.908
26 __NUM___million_job 0
✓
0 0 0.00239
✗
0 0 0.998
27 __NUM___year 5
✓
0.00159 0 0.0193
✗
0 0 0.979
28 tax_plan 18
✓
0 0 0.0533
✗
0 0 0.947
29 creat_job 33
✓
0.00239 0 0.112
✗
0 0 0.886
30 fair_deal 31
✓
0 0 0.1
✗
0 0 0.9
31 mitt_romnei 1
✓
0 0 0.00557
✗
0 0 0.994
32 previou_administr 31
✓
0.00259 0 0.106
✗
0 0 0.891
33 sale_pitch 5
✓
0.000199 0 0.0263
✗
0.000597 0 0.973
34 move_forward 72
✓
0.545 0.000199 0.11
✗
0.000398 0 0.344
35 __NUM___year_ago 18
✓
0.131 0 0.0324
✗
0.489 0 0.347
36 bin_laden 68
✓
0.0551 0 0.529
✗
0.124 0 0.292
37 year_ago 4
✓
0.00239 0 0.102
✗
0.0874 0 0.808
38 middl_class 6
✓
0.000398 0 0.0756
✗
0.0352 0 0.889
39 cut_tax 11
✓
0 0.0111 0.0697
✗
0 0 0.919
40 busi_owner 4
✓
0 0.000796 0.0155
✗
0 0.0111 0.973
41 __NUM___time 5
✓
0.000199 0.000199 0.0209
✗
0 0.0117 0.967
42 small_busi 12
✓
0.00119 0.783 0.00975
✗
0 0.0121 0.194
43 donald_trump 13
✓
0.00119 0.153 0.00318
✗
0 0.794 0.0482
44 hedg_fund 5
✓
0.000199 0.0299 0.000199
✗
0.000597 0.947 0.0223
45 fund_manag 0
✓
0.000199 0.000199 0
✗
0.000995 0.976 0.0225
46 wall_street 38
✓
0.617 0 0.347
✗
0.00915 0.00219 0.0253
47 year_ago 10
✓
0.165 0 0.0109
✗
0.59 0.000995 0.233
48 great_countri 6
✓
0.217 0 0.000796
✗
0.731 0 0.0509
49 health_reform 17
✓
0.124 0 0.000398
✗
0.874 0 0.00119
50 insur_compani 12
✓
0.00139 0 0.00418
✗
0.993 0 0.00139
51 young_peopl 7
✓
0.0525 0 0.0119
✗
0.931 0 0.00498
52 auto_industri 94
✓
0.00796 0 0.979
✗
0.000796 0 0.0123
53 __NUM___year 78
✓
0.00736 0 0.255
✗
0.000398 0 0.738
54 econom_crisi 4
✓
0 0 0.0205
✗
0.00259 0 0.977
55 move_forward 6
✓
0.000199 0 0.0263
✗
0.00199 0 0.972
56 __NUM___job 4
✓
0 0 0.0167
✗
0.000199 0 0.983
57 __NUM___million 14
✓
0.00577 0 0.0505
✗
0.000199 0 0.943
58 stock_market 25
✓
0.00318 0 0.089
✗
0.000995 0 0.907
59 assembl_line 8
✓
0.152 0 0.0211
✗
0.00418 0 0.823
60 move_forward 10
✓
0.0629 0.000199 0.0352
✗
0.144 0 0.758
61 work_hard 53
✓
0.161 0 0.15
✗
0.133 0 0.556
62 creat_job 21
✓
0.00816 0 0.285
✗
0.0557 0 0.651
63 good_job 4
✓
0.00338 0 0.0219
✗
0.0557 0 0.919
64 middl_class 6
✓
0.000995 0 0.0519
✗
0.0253 0 0.922
65 job_oversea 11
✓
0 0 0.0619
✗
0 0 0.938
66 tax_break 14
✓
0 0 0.0509
✗
0 0 0.949
67 job_oversea 6
✓
0 0 0.0221
✗
0 0 0.978
68 __NUM___year 62
✓
0.0205 0 0.2
✗
0 0 0.78
69 renew_energi 36
✓
0.000398 0 0.104
✗
0.000398 0 0.896
70 natur_ga 19
✓
0 0 0.00139
✗
0 0 0.999
71 foreign_oil 9
✓
0 0 0.000398
✗
0 0 1
72 feel_comfort 39
✓
0.00119 0 0.00318
✗
0 0 0.996
73 oil_compani 4
✓
0 0 0.00139
✗
0 0 0.999
74 __MONEY___billion 1
✓
0 0 0
✗
0 0 1
75 corpor_welfar 7
✓
0 0 0
✗
0 0 1
76 __MONEY___billion 49
✓
0 0 0.00179
✗
0 0 0.998
77 energi_sourc 6
✓
0 0 0.000199
✗
0 0 1
78 clean_energi 14
✓
0 0 0.000796
✗
0 0 0.999
79 energi_technolog 0
✓
0 0 0.000199
✗
0 0 1
80 technolog_develop 4
✓
0 0 0.000199
✗
0 0 1
81 unit_state 4
✓
0.277 0 0.0115
✗
0 0 0.711
82 good_job 13
✓
0.28 0.000199 0.0159
✗
0.261 0 0.443
83 educ_system 75
✓
0.623 0 0.000995
✗
0.372 0 0.00418
84 unit_state 8
✓
0.0356 0 0.0103
✗
0.951 0 0.00338
85 young_peopl 77
✓
0.266 0.000199 0.167
✗
0.561 0 0.00597
86 __MONEY___trillion 34
✓
0.000199 0 0.849
✗
0.000597 0 0.15
87 tax_cut 1
✓
0.00318 0 0.00617
✗
0.000796 0 0.99
88 scienc_teacher 19
✓
0.997 0 0
✗
0.00338 0 0
89 job_train 21
✓
0.0874 0 0.00577
✗
0.907 0 0
90 __NUM___million 2
✓
0.0117 0 0.000398
✗
0.983 0 0.00458
91 commun_colleg 4
✓
0.0255 0 0
✗
0.974 0 0.000199
92 class_size 65
✓
0.226 0.00637 0.102
✗
0.665 0 0
93 creat_job 74
✓
0.254 0.00219 0.393
✗
0.283 0.00199 0.0661
94 young_women 59
✓
0.588 0.000398 0.00219
✗
0.403 0.000398 0.00637
95 same_job 88
✓
0.357 0 0.000995
✗
0.642 0 0
96 same_thing 42
✓
0.171 0.000199 0.0858
✗
0.743 0 0.000597
97 econom_issu 45
✓
0.255 0 0
✗
0.744 0 0.000796
98 health_care 9
✓
0.00955 0 0
✗
0.99 0 0.000199
99 state_legislatur 21
✓
0.00915 0 0
✗
0.991 0 0
100 health_care 18
✓
0.00299 0 0
✗
0.997 0 0
101 plan_parenthood 16
✓
0.00119 0 0
✗
0.999 0 0
102 breast_cancer 14
✓
0.000995 0 0
✗
0.999 0 0
103 insur_compani 43
✓
0.00318 0 0.0111
✗
0.986 0 0
104 health_care 46
✓
0.254 0.000199 0.0231
✗
0.718 0 0.00438
105 unit_state 37
✓
0.733 0 0.0474
✗
0.21 0 0.00955
106 foreign_polici 71
✓
0.341 0 0.00139
✗
0.656 0 0.00139
107 arm_servic 96
✓
0.389 0.00119 0.00796
✗
0.602 0 0
108 singl_dai 5
✓
0.031 0 0
✗
0.968 0 0.000995
109 troop_home 5
✓
0.0267 0 0
✗
0.973 0 0.000199
110 __NUM___troop 27
✓
0.126 0 0.000796
✗
0.873 0 0
111 brought_home 3
✓
0.0179 0.000199 0.00199
✗
0.979 0 0.000796
112 __MONEY___trillion 116
✓
0 0 0.998
✗
0 0 0.00239
113 __NUM___year 4
✓
0 0 0.0131
✗
0 0 0.987
114 put_forward 2
✓
0.000398 0 0.0119
✗
0 0 0.988
115 cut_spend 17
✓
0.000199 0 0.0573
✗
0 0 0.942
116 higher_tax 50
✓
0.000199 0 0.169
✗
0 0 0.831
117 same_rate 8
✓
0 0 0.0231
✗
0 0 0.977
118 bill_clinton 4
✓
0 0 0.0147
✗
0 0 0.985
119 creat___NUM__ 5
✓
0 0 0.0165
✗
0 0 0.983
120 __NUM___million 0
✓
0.000199 0 0.00239
✗
0 0 0.997
121 lower_tax 28
✓
0 0 0.0876
✗
0 0 0.912
122 tax_rate 0
✓
0 0 0.00299
✗
0 0 0.997
123 make___MONEY__ 5
✓
0.000199 0 0.0177
✗
0 0 0.982
124 middl_class 24
✓
0 0 0.0786
✗
0 0 0.921
125 class_famili 0
✓
0 0 0.00338
✗
0 0 0.997
126 home_mortgag 8
✓
0 0 0.0241
✗
0 0 0.976
127 tax_cut 14
✓
0.000199 0 0.0541
✗
0 0 0.946
128 head_start 20
✓
0 0 0.0702
✗
0 0 0.93
129 health_insur 3
✓
0.000398 0 0.0141
✗
0 0 0.985
130 tax_cut 15
✓
0.000796 0.000597 0.049
✗
0 0 0.95
131 health_insur 48
✓
0.0496 0 0.155
✗
0.000398 0 0.795
132 borrow_monei 23
✓
0.635 0 0.0261
✗
0.0328 0 0.306
133 nativ_american 78
✓
0.552 0 0.000199
✗
0.447 0 0
134 amaz_thing 40
✓
0.173 0 0.000199
✗
0.827 0 0
135 insur_coverag 38
✓
0.156 0 0.00139
✗
0.842 0 0
136 young_man 9
✓
0.0464 0 0
✗
0.954 0 0
137 medic_school 17
✓
0.0816 0 0.000398
✗
0.918 0 0
138 pledg_allegi 28
✓
0.132 0 0
✗
0.868 0 0
139 __NUM___dai 53
✓
0.234 0 0.00179
✗
0.765 0 0
140 foreign_polici 51
✓
0.225 0 0.000199
✗
0.775 0 0
141 troop_home 26
✓
0.12 0 0
✗
0.88 0 0
142 __NUM___dai 7
✓
0.039 0 0.000199
✗
0.961 0 0
143 turn_back 6
✓
0.0289 0 0
✗
0.971 0 0
144 __NUM___year 3
✓
0.0173 0 0.00517
✗
0.978 0 0
145 move_forward 19
✓
0.0896 0 0.0153
✗
0.892 0 0.00338
146 phone_call 103
✓
0.435 0 0
✗
0.565 0 0
147 unit_state 33
✓
0.148 0 0.00199
✗
0.85 0 0
148 god_bless 9
✓
0.0488 0 0
✗
0.951 0 0
149 unit_state 7
✓
0.0334 0 0.00657
✗
0.96 0 0
__END_OF_SPEECH__ 3