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  5. 2012.09.02.688.Boulder.CO

Barack Obama

This speech titled 2012.09.02.688.Boulder.CO originally had 3918 tokens. In its cue-lag representation, it has 106 cue terms and an average lag of 31.9. 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 head_start 350
✓
0.0806 0.00458 0.915
✗
0 0 0
2 __NUM___vote 7
✓
0.0778 0.0786 0.0185
✗
0.0792 0.00458 0.741
3 __NUM___month 83
✓
0.67 0 0.0917
✗
0.0509 0 0.187
4 __NUM___dai 105
✓
0.506 0 0.047
✗
0.404 0 0.0434
5 creat_job 99
✓
0.0961 0.000995 0.705
✗
0.137 0 0.0609
6 interest_thing 26
✓
0.0911 0 0.0838
✗
0.184 0 0.641
7 middl_class 59
✓
0.244 0.00239 0.139
✗
0.174 0 0.441
8 health_care 55
✓
0.442 0.000199 0.0557
✗
0.31 0.000199 0.192
9 young_peopl 12
✓
0.0798 0 0.0167
✗
0.705 0 0.199
10 middl_class 109
✓
0.0157 0 0.828
✗
0.0181 0 0.138
11 tax_cut 8
✓
0.000199 0 0.0601
✗
0.000597 0 0.939
12 make___MONEY__ 3
✓
0 0 0.0135
✗
0 0 0.986
13 __MONEY___million 0
✓
0.000398 0 0.00398
✗
0 0 0.996
14 wall_street 27
✓
0.00299 0 0.0911
✗
0 0 0.906
15 financi_crisi 15
✓
0.00498 0 0.0507
✗
0.000995 0 0.943
16 health_care 41
✓
0.103 0.000597 0.125
✗
0.00299 0 0.768
17 creat_job 92
✓
0.0107 0.000199 0.376
✗
0.00418 0 0.609
18 middl_class 12
✓
0.00657 0.000995 0.0474
✗
0.0105 0 0.935
19 small_busi 53
✓
0.0125 0.0141 0.186
✗
0.00259 0.000597 0.784
20 busi_owner 0
✓
0.00139 0 0.00279
✗
0.0151 0.0147 0.966
21 middl_class 7
✓
0.0555 0.000199 0.0269
✗
0.0157 0.00657 0.895
22 construct_worker 10
✓
0.138 0 0.0306
✗
0.0679 0.000398 0.764
23 good_health 37
✓
0.822 0 0
✗
0.178 0 0
24 health_care 0
✓
0.00318 0 0.000199
✗
0.997 0 0
25 colleg_educ 10
✓
0.0523 0 0
✗
0.948 0 0
26 __NUM___year 100
✓
0.264 0 0.375
✗
0.361 0 0
27 unit_state 24
✓
0.0786 0 0.108
✗
0.487 0 0.326
28 middl_class 37
✓
0.0281 0.00199 0.459
✗
0.132 0 0.379
29 tax_cut 26
✓
0.00199 0.00119 0.23
✗
0.00975 0.00119 0.756
30 __NUM___year_ago 64
✓
0.0386 0 0.221
✗
0.00299 0 0.737
31 cut_tax 3
✓
0 0 0.0567
✗
0 0 0.943
32 middl_class 2
✓
0 0 0.00796
✗
0 0 0.992
33 class_famili 0
✓
0 0 0.00378
✗
0 0 0.996
34 middl_class 4
✓
0.000199 0 0.0183
✗
0 0 0.981
35 class_famili 0
✓
0 0 0.00279
✗
0.000199 0 0.997
36 small_busi 56
✓
0.00915 0.00537 0.179
✗
0 0 0.807
37 privat_sector 79
✓
0.000597 0 0.264
✗
0 0 0.735
38 outsourc_job 35
✓
0 0 0.12
✗
0 0 0.88
39 auto_industri 3
✓
0 0 0.0135
✗
0 0 0.986
40 american_worker 28
✓
0 0 0.0939
✗
0 0 0.906
41 american_manufactur 6
✓
0 0 0.0225
✗
0 0 0.978
42 auto_industri 7
✓
0.000398 0 0.0205
✗
0 0 0.979
43 fuel_effici 18
✓
0.00995 0 0.0509
✗
0 0 0.939
44 move_forward 6
✓
0.0492 0.000199 0.398
✗
0.00677 0 0.546
45 tax_break 14
✓
0 0 0.227
✗
0.000199 0 0.773
46 job_oversea 5
✓
0 0 0.031
✗
0 0 0.969
47 tax_break 5
✓
0 0 0.0181
✗
0 0 0.982
48 creat_job 12
✓
0.0494 0.000199 0.0386
✗
0 0 0.912
49 unit_state 12
✓
0.419 0 0.0217
✗
0.0464 0 0.513
50 young_peopl 47
✓
0.564 0 0.0115
✗
0.373 0 0.0517
51 commun_colleg 76
✓
0.351 0 0
✗
0.649 0 0
52 tax_credit 20
✓
0.0834 0 0
✗
0.917 0 0
53 __NUM___year 12
✓
0.0597 0 0.000597
✗
0.94 0 0
54 colleg_tuition 3
✓
0.0175 0 0
✗
0.982 0 0
55 america_todai 16
✓
0.0754 0 0.00179
✗
0.923 0 0
56 higher_educ 3
✓
0.0163 0 0.000199
✗
0.982 0 0.00159
57 oil_compani 149
✓
0 0 0.998
✗
0.000199 0 0.00179
58 american_energi 18
✓
0 0 0.00279
✗
0 0 0.997
59 renew_energi 4
✓
0 0 0.000199
✗
0 0 1
60 solar_power 43
✓
0 0 0.00139
✗
0 0 0.999
61 __MONEY___billion 16
✓
0 0 0.000398
✗
0 0 1
62 taxpay_subsidi 4
✓
0 0 0.000199
✗
0 0 1
63 big_oil 2
✓
0 0 0
✗
0 0 1
64 oil_compani 0
✓
0 0 0
✗
0 0 1
65 make_monei 3
✓
0 0 0
✗
0 0 1
66 energi_sourc 15
✓
0.000199 0 0.000995
✗
0 0 0.999
67 nation_secur 20
✓
0.0434 0 0.00338
✗
0.000199 0 0.953
68 creat_job 4
✓
0.0446 0.000796 0.0535
✗
0.0422 0 0.859
69 health_care_system 54
✓
0.935 0 0.000199
✗
0.0649 0 0
70 insur_compani 4
✓
0.00159 0 0
✗
0.998 0 0
71 move_forward 11
✓
0.00179 0 0
✗
0.998 0 0
72 health_care 4
✓
0.000796 0 0
✗
0.999 0 0
73 cut_cost 4
✓
0.000398 0 0
✗
1 0 0
74 __NUM___million 51
✓
0.0181 0 0.000199
✗
0.982 0 0
75 young_peopl 1
✓
0.000597 0 0
✗
0.999 0 0
76 health_care_system 51
✓
0.00637 0 0
✗
0.994 0 0
77 __NUM___year 57
✓
0.0299 0 0.00119
✗
0.969 0 0
78 health_care_system 10
✓
0.00179 0 0
✗
0.998 0 0
79 system_work 1
✓
0.00199 0 0.00239
✗
0.996 0 0
80 move_forward 10
✓
0.0872 0 0.0117
✗
0.899 0 0.00179
81 health_care 55
✓
0.298 0.000398 0.0219
✗
0.677 0 0.00239
82 pledg_allegi 38
✓
0.69 0 0.000398
✗
0.309 0 0
83 __NUM___troop 166
✓
0.602 0 0.00159
✗
0.396 0 0
84 bin_laden 51
✓
0.217 0 0.00299
✗
0.779 0 0.000796
85 troop_home 9
✓
0.0422 0 0.000597
✗
0.956 0 0.000995
86 __NUM___month 155
✓
0.568 0 0.0263
✗
0.405 0 0
87 attack_ad 46
✓
0.223 0 0.000398
✗
0.777 0 0
88 __MONEY___million 19
✓
0.0824 0.000199 0.0318
✗
0.885 0 0.000199
89 big_oil 60
✓
0.209 0 0.0605
✗
0.717 0 0.0135
90 energi_bill 3
✓
0.000398 0 0
✗
0.926 0 0.0738
91 insur_compani 7
✓
0.0131 0 0.0639
✗
0.922 0 0.00119
92 power_forc 64
✓
0.994 0 0.000398
✗
0.00537 0 0
93 statu_quo 8
✓
0.039 0 0.00458
✗
0.956 0 0.000398
94 american_peopl 7
✓
0.0364 0 0.0157
✗
0.943 0 0.00478
95 long_term 29
✓
0.0844 0.000597 0.334
✗
0.563 0 0.0183
96 turn_back 216
✓
0.822 0 0
✗
0.178 0 0
97 good_job 5
✓
0.03 0.000199 0.000796
✗
0.969 0 0
98 young_peopl 13
✓
0.0681 0 0
✗
0.932 0 0
99 good_teacher 8
✓
0.0454 0 0
✗
0.955 0 0
100 bring_home 24
✓
0.109 0 0
✗
0.891 0 0
101 singl_person 24
✓
0.106 0.000199 0
✗
0.894 0 0
102 work_hard 4
✓
0.0253 0 0.000199
✗
0.975 0 0
103 phone_call 32
✓
0.14 0 0
✗
0.86 0 0
104 unit_state 45
✓
0.188 0 0.00219
✗
0.809 0 0
105 god_bless 9
✓
0.038 0 0
✗
0.962 0 0
106 unit_state 7
✓
0.0356 0 0.00637
✗
0.958 0 0
__END_OF_SPEECH__ 3