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  5. 2012.08.22.662.North Las Vegas.NV

Barack Obama

This speech titled 2012.08.22.662.North Las Vegas.NV originally had 3694 tokens. In its cue-lag representation, it has 107 cue terms and an average lag of 31.2. 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 la_vega 7
✓
0.906 0.000199 0.0941
✗
0 0 0
2 high_school 42
✓
0.266 0 0.000199
✗
0.734 0 0.000398
3 senat_candid 50
✓
0.0237 0.000199 0.897
✗
0.0786 0 0.000796
4 feel_free 44
✓
0.913 0.000199 0
✗
0.0854 0 0.00159
5 la_vega 87
✓
0.32 0 0.0802
✗
0.6 0 0.000398
6 lesson_plan 60
✓
0.292 0.000597 0.0121
✗
0.684 0 0.0117
7 young_peopl 44
✓
0.22 0 0.00617
✗
0.773 0 0.00179
8 same_kind 4
✓
0.0209 0 0.00617
✗
0.965 0 0.00756
9 high_school 58
✓
0.323 0 0
✗
0.677 0 0
10 work_hard 49
✓
0.21 0 0.0115
✗
0.778 0 0
11 young_peopl 124
✓
0.46 0 0.0623
✗
0.476 0 0.00199
12 vast_major 134
✓
0.104 0.00159 0.753
✗
0.107 0 0.0344
13 school_suppli 61
✓
0.875 0 0.000995
✗
0.122 0 0.00199
14 __NUM___year 123
✓
0.413 0 0.133
✗
0.454 0 0.000398
15 person_experi 25
✓
0.146 0.00517 0.0255
✗
0.745 0 0.0778
16 extra_mile 44
✓
0.251 0.00398 0.0101
✗
0.705 0.00458 0.0251
17 tough_time 6
✓
0.0525 0 0.00159
✗
0.926 0.000398 0.0199
18 good_teacher 138
✓
0.52 0.000597 0.00219
✗
0.477 0 0.000199
19 million_dollar 14
✓
0.0287 0.0265 0.481
✗
0.461 0.000597 0.00199
20 front_line 45
✓
0.08 0 0.0838
✗
0.471 0.00159 0.364
21 privat_sector 34
✓
0.00338 0 0.076
✗
0.526 0 0.395
22 __NUM___teacher 6
✓
0.0478 0.000398 0.0107
✗
0.528 0 0.414
23 budget_cut 13
✓
0.0991 0 0.00119
✗
0.563 0 0.337
24 local_level 5
✓
0.0488 0 0.00358
✗
0.657 0 0.291
25 class_size 31
✓
0.119 0 0.0344
✗
0.668 0 0.179
26 cut_back 18
✓
0.0358 0 0.163
✗
0.597 0 0.204
27 __NUM___centuri 61
✓
0.425 0 0.00279
✗
0.463 0 0.109
28 creat_job 71
✓
0.502 0.00139 0.123
✗
0.364 0 0.0105
29 highli_skill 7
✓
0.168 0 0
✗
0.832 0 0
30 skill_worker 0
✓
0.00259 0 0
✗
0.997 0 0
31 young_man 25
✓
0.115 0 0
✗
0.885 0 0
32 good_teacher 4
✓
0.0223 0 0
✗
0.978 0 0
33 highli_skill 24
✓
0.11 0 0
✗
0.89 0 0
34 skill_worker 0
✓
0.00478 0 0.000199
✗
0.995 0 0
35 unit_state 24
✓
0.0963 0 0.123
✗
0.781 0 0.000199
36 econom_crisi 12
✓
0.0332 0 0.236
✗
0.614 0 0.117
37 __NUM___year 21
✓
0.0888 0 0.0621
✗
0.552 0 0.297
38 __NUM___educ 9
✓
0.0505 0.00139 0.0261
✗
0.596 0 0.326
39 govern_bureaucrat 179
✓
0.00697 0.000398 0.835
✗
0.00557 0 0.152
40 cut_back 5
✓
0 0 0.0281
✗
0.00179 0 0.97
41 econom_plan 9
✓
0 0 0.0316
✗
0 0 0.968
42 put_forward 10
✓
0.000995 0 0.0382
✗
0 0 0.961
43 creat_job 31
✓
0.000199 0 0.0965
✗
0 0 0.903
44 __MONEY___trillion 14
✓
0 0 0.042
✗
0 0 0.958
45 tax_cut 1
✓
0 0 0.00776
✗
0 0 0.992
46 head_start 41
✓
0 0 0.138
✗
0 0 0.862
47 tax_cut 4
✓
0.000398 0 0.0129
✗
0 0 0.987
48 colleg_student 16
✓
0.03 0 0.0557
✗
0.000398 0 0.914
49 tax_cut 4
✓
0.00159 0.000199 0.0201
✗
0.0243 0 0.954
50 young_peopl 52
✓
0.964 0 0.00139
✗
0.0211 0 0.0139
51 peopl_work 0
✓
0.00716 0 0
✗
0.98 0 0.0133
52 middl_class 33
✓
0.109 0.000796 0.247
✗
0.631 0 0.0117
53 unit_state 30
✓
0.111 0 0.123
✗
0.553 0 0.213
54 econom_plan 35
✓
0.0366 0 0.467
✗
0.209 0 0.288
55 make_clear 1
✓
0.147 0 0.00299
✗
0.245 0 0.605
56 children_educ 5
✓
0.229 0 0.00856
✗
0.391 0 0.371
57 front_line 23
✓
0.166 0 0.0183
✗
0.62 0 0.196
58 educ_system 3
✓
0.209 0 0.000199
✗
0.785 0 0.00597
59 class_size 28
✓
0.035 0 0.000597
✗
0.963 0 0.00119
60 __NUM___student 108
✓
0.0896 0 0.000199
✗
0.91 0 0
61 school_district 26
✓
0.0115 0 0
✗
0.988 0 0
62 grade_level 47
✓
0.0105 0 0.000398
✗
0.989 0 0
63 push_back 44
✓
0.0115 0 0.04
✗
0.948 0 0.000398
64 past___NUM___year 88
✓
0.0772 0 0.000398
✗
0.922 0 0.000398
65 school_district 72
✓
0.0271 0 0
✗
0.973 0 0
66 child_left 59
✓
0.00736 0 0
✗
0.993 0 0
67 high_standard 15
✓
0.000597 0 0
✗
0.999 0 0
68 vice_versa 58
✓
0.101 0.00259 0.0141
✗
0.882 0 0
69 high_school 41
✓
0.367 0 0
✗
0.633 0 0
70 turn___NUM__ 5
✓
0.281 0 0.000398
✗
0.719 0 0
71 __NUM___million 23
✓
0.111 0 0.00259
✗
0.887 0 0
72 colleg_educ 5
✓
0.0289 0 0
✗
0.971 0 0
73 interest_rate 14
✓
0.0794 0 0
✗
0.921 0 0
74 student_loan 3
✓
0.0197 0 0
✗
0.98 0 0
75 special_interest 15
✓
0.0667 0 0
✗
0.933 0 0
76 student_loan 4
✓
0.0205 0 0.000796
✗
0.979 0 0
77 taxpay_dollar 8
✓
0.0366 0 0.00239
✗
0.96 0 0.000796
78 big_bank 2
✓
0.0119 0 0.00378
✗
0.981 0 0.00299
79 wrong_side 18
✓
0.0792 0.000199 0.00577
✗
0.911 0 0.00378
80 __NUM___million 12
✓
0.0559 0 0.00458
✗
0.935 0 0.00498
81 student_loan 4
✓
0.0223 0 0.000597
✗
0.971 0 0.00617
82 big_bank 4
✓
0.0197 0 0.00119
✗
0.973 0 0.00597
83 taxpay_monei 7
✓
0.0414 0 0.000199
✗
0.955 0 0.00318
84 rise_cost 16
✓
0.0754 0.000597 0.000199
✗
0.922 0 0.00139
85 borrow_monei 22
✓
0.1 0 0.00358
✗
0.895 0 0.000796
86 __NUM___month 29
✓
0.16 0 0.00498
✗
0.834 0 0.00119
87 __NUM___week 12
✓
0.0631 0 0.00378
✗
0.93 0 0.00279
88 econom_plan 98
✓
0.000199 0 0.996
✗
0.000199 0 0.00318
89 tax_cut 14
✓
0.000597 0.000597 0.05
✗
0 0 0.949
90 __MONEY___million 55
✓
0.103 0.000199 0.171
✗
0.000597 0.000199 0.725
91 web_site 76
✓
0.07 0 0.277
✗
0.0308 0 0.622
92 turn_back 91
✓
0.934 0 0.000597
✗
0.0619 0 0.00338
93 middl_class 37
✓
0.1 0.000199 0.358
✗
0.538 0 0.00299
94 fair_share 17
✓
0.0527 0 0.106
✗
0.512 0 0.33
95 auto_industri 16
✓
0.000995 0 0.577
✗
0.00736 0 0.415
96 million_job 6
✓
0.000398 0.000199 0.0251
✗
0.00398 0 0.97
97 creat_job 14
✓
0.0706 0 0.0432
✗
0.00318 0 0.883
98 clean_energi 2
✓
0.111 0 0.00975
✗
0.073 0 0.806
99 good_teacher 10
✓
0.822 0 0
✗
0.175 0 0.00279
100 young_peopl 13
✓
0.0633 0 0.00537
✗
0.93 0 0.00119
101 good_job 8
✓
0.0352 0.000199 0.039
✗
0.919 0 0.00617
102 solar_panel 6
✓
0.0297 0 0.0448
✗
0.881 0.000199 0.0442
103 bring_home 12
✓
0.147 0 0
✗
0.853 0 0.000199
104 phone_call 50
✓
0.217 0 0
✗
0.783 0 0
105 unit_state 23
✓
0.0991 0 0.00119
✗
0.9 0 0
106 god_bless 9
✓
0.045 0 0
✗
0.955 0 0
107 unit_state 7
✓
0.035 0 0.00637
✗
0.959 0 0
__END_OF_SPEECH__ 1