1. Home
  2. Results: Stage 2
  3. Barack Obama
  4. 2012 General
  5. 2012.10.25.830.Tampa.FL

Barack Obama

This speech titled 2012.10.25.830.Tampa.FL originally had 2840 tokens. In its cue-lag representation, it has 94 cue terms and an average lag of 26.2. 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 secret_ballot 157
✓
0.999 0 0.00119
✗
0 0 0
2 singl_person 73
✓
0.313 0 0
✗
0.687 0 0
3 tv_ad 36
✓
0.166 0 0.0153
✗
0.819 0 0
4 sale_pitch 46
✓
0 0.000199 0.987
✗
0.000796 0 0.0121
5 point_plan 21
✓
0 0 0.0768
✗
0 0 0.923
6 lower_tax 45
✓
0 0 0.141
✗
0 0 0.859
7 tax_rate 0
✓
0 0 0.00458
✗
0 0 0.995
8 outsourc_job 2
✓
0 0 0.00975
✗
0 0 0.99
9 roll_back 4
✓
0 0 0.0169
✗
0 0 0.983
10 wall_street 1
✓
0 0 0.00617
✗
0 0 0.994
11 sound_familiar 20
✓
0 0 0.0702
✗
0 0 0.93
12 great_recess 10
✓
0 0 0.0364
✗
0 0 0.964
13 job_growth 21
✓
0 0 0.0728
✗
0 0 0.927
14 econom_crisi 8
✓
0.00159 0 0.0259
✗
0 0 0.973
15 great_depress 3
✓
0.00199 0 0.0127
✗
0.00139 0 0.984
16 work_hard 4
✓
0.0241 0 0.0179
✗
0.00318 0 0.955
17 __NUM___year 2
✓
0.00139 0 0.0107
✗
0.0253 0 0.963
18 final_week 44
✓
0 0 0.158
✗
0 0 0.842
19 econom_plan 50
✓
0 0 0.158
✗
0 0 0.842
20 creat_job 4
✓
0.000199 0 0.0153
✗
0 0 0.984
21 job_oversea 13
✓
0 0 0.048
✗
0 0 0.952
22 tax_cut 15
✓
0 0 0.0513
✗
0 0 0.949
23 middl_class 20
✓
0.000199 0 0.074
✗
0 0 0.926
24 class_famili 0
✓
0 0.000199 0.00478
✗
0.000199 0 0.995
25 auto_industri 80
✓
0.00159 0 0.267
✗
0 0 0.731
26 web_site 28
✓
0.0177 0 0.0909
✗
0.000796 0 0.891
27 singl_dai 177
✓
0.99 0 0.000796
✗
0.00756 0 0.00119
28 set_foot 3
✓
0.0199 0 0
✗
0.98 0 0
29 oval_offic 3
✓
0.0183 0 0.000398
✗
0.981 0 0
30 bin_laden 69
✓
0.129 0 0.543
✗
0.327 0 0.000199
31 cut_tax 25
✓
0 0.000199 0.499
✗
0 0 0.501
32 middl_class 2
✓
0 0 0.00955
✗
0 0 0.99
33 class_famili 0
✓
0 0 0.00239
✗
0 0 0.998
34 cut_tax 8
✓
0 0 0.0291
✗
0 0 0.971
35 small_busi 2
✓
0 0 0.00637
✗
0 0 0.994
36 wall_street 9
✓
0.000597 0 0.032
✗
0 0 0.967
37 health_care_reform 40
✓
0.000597 0 0.143
✗
0 0 0.857
38 american_worker 24
✓
0.000597 0 0.083
✗
0 0 0.916
39 auto_industri 9
✓
0 0 0.0322
✗
0 0 0.968
40 move_forward 10
✓
0.000597 0 0.039
✗
0 0 0.96
41 lost___NUM__ 2
✓
0 0 0.00935
✗
0 0 0.991
42 __NUM___million_job 0
✓
0 0 0.00318
✗
0 0 0.997
43 great_recess 4
✓
0.000995 0 0.0179
✗
0 0 0.981
44 __NUM___month 6
✓
0.362 0 0.0149
✗
0.00119 0 0.621
45 __NUM___million 8
✓
0.181 0 0.0171
✗
0.347 0 0.455
46 assembl_line 11
✓
0.322 0 0.00537
✗
0.502 0 0.17
47 turn_back 21
✓
0.255 0 0.000597
✗
0.741 0 0.00338
48 unit_state 46
✓
0.146 0 0.324
✗
0.526 0 0.00338
49 creat_job 26
✓
0.00557 0.000199 0.661
✗
0.0326 0 0.3
50 middl_class 8
✓
0.000398 0 0.0585
✗
0.00816 0.000199 0.933
51 mitt_romnei 4
✓
0 0 0.0241
✗
0.00119 0 0.975
52 web_site 151
✓
0.00657 0 0.471
✗
0 0 0.522
53 tax_break 32
✓
0 0 0.113
✗
0 0 0.887
54 job_oversea 6
✓
0 0 0.0221
✗
0 0 0.978
55 creat_job 10
✓
0.00279 0 0.0366
✗
0 0 0.961
56 unit_state 5
✓
0.00418 0 0.0159
✗
0.00259 0 0.977
57 clean_energi 42
✓
0 0 0.0689
✗
0 0 0.931
58 natur_ga 7
✓
0 0 0.00139
✗
0 0 0.999
59 wind_turbin 66
✓
0 0 0.00259
✗
0 0 0.997
60 solar_panel 2
✓
0.000398 0 0
✗
0 0 1
61 unit_state 20
✓
0.631 0 0.0211
✗
0.000398 0 0.347
62 scienc_teacher 37
✓
0.48 0 0
✗
0.52 0 0
63 __NUM___million 5
✓
0.0255 0 0.000398
✗
0.974 0 0
64 commun_colleg 3
✓
0.0169 0 0
✗
0.983 0 0.000199
65 young_peopl 25
✓
0.0989 0 0.106
✗
0.794 0 0.000199
66 __MONEY___trillion 19
✓
0.00139 0 0.867
✗
0.0295 0 0.102
67 insur_compani 86
✓
0.767 0 0.0621
✗
0.0219 0 0.149
68 health_care 35
✓
0.0778 0 0.0203
✗
0.785 0 0.117
69 insur_compani 17
✓
0.00975 0 0.0117
✗
0.857 0 0.122
70 health_care 12
✓
0.114 0 0.00896
✗
0.792 0 0.0854
71 unit_state 36
✓
0.864 0 0.0201
✗
0.0985 0 0.0171
72 put_peopl 17
✓
0.0981 0 0.00358
✗
0.886 0 0.0121
73 rural_area 25
✓
0.124 0 0
✗
0.876 0 0.000398
74 middl_class 79
✓
0.328 0 0.00358
✗
0.668 0 0
75 class_job 0
✓
0.00896 0 0
✗
0.991 0 0
76 work_hard 33
✓
0.154 0 0.00338
✗
0.843 0 0
77 young_peopl 42
✓
0.184 0 0.00199
✗
0.813 0 0.000597
78 futur_gener 31
✓
0.141 0 0.000199
✗
0.859 0 0
79 foreign_polici 34
✓
0.151 0 0.000199
✗
0.849 0 0
80 turn_back 19
✓
0.0911 0 0
✗
0.909 0 0
81 __NUM___year 3
✓
0.0167 0 0.00239
✗
0.981 0 0
82 basic_principl 21
✓
0.09 0 0
✗
0.91 0 0
83 creat_equal 14
✓
0.0649 0 0
✗
0.935 0 0
84 nativ_american 15
✓
0.0679 0 0
✗
0.932 0 0
85 tough_time 72
✓
0.317 0 0.000398
✗
0.682 0 0
86 past___NUM___year 2
✓
0.0121 0 0
✗
0.988 0 0.000199
87 tough_time 12
✓
0.0543 0 0.000597
✗
0.945 0 0
88 bounc_back 28
✓
0.135 0.000199 0
✗
0.865 0 0
89 turn_back 47
✓
0.198 0.000199 0.000199
✗
0.802 0 0
90 __NUM___year 90
✓
0.326 0 0.111
✗
0.564 0 0
91 phone_call 91
✓
0.448 0 0
✗
0.552 0 0
92 unit_state 36
✓
0.157 0 0.00259
✗
0.84 0 0
93 god_bless 9
✓
0.0448 0 0
✗
0.955 0 0
94 unit_state 7
✓
0.0362 0 0.00955
✗
0.954 0 0
__END_OF_SPEECH__ 3