Barack Obama

This speech titled 2007.12.27 originally had 3014 tokens. In its cue-lag representation, it has 67 cue terms and an average lag of 41.1. 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 ten_month 0
✓
0.998 0 0.00159
✗
0 0 0
2 month_ago 0
✓
0.00139 0 0.000199
✗
0.997 0 0.00159
3 state_capitol 10
✓
0.00716 0 0.00418
✗
0.988 0 0.000398
4 health_care_system 84
✓
0.784 0 0.00318
✗
0.212 0 0
5 educ_system 13
✓
0.291 0 0.000199
✗
0.709 0 0
6 univers_health_care 26
✓
0.124 0 0.000398
✗
0.876 0 0
7 good_job 13
✓
0.707 0.000199 0.0324
✗
0.26 0 0
8 live_wage 3
✓
0.048 0 0.000995
✗
0.923 0 0.0285
9 global_warm 13
✓
0.0681 0 0.256
✗
0.647 0 0.0291
10 common_sens 93
✓
0.593 0 0.136
✗
0.179 0 0.0913
11 american_peopl 19
✓
0.145 0 0.00876
✗
0.68 0 0.167
12 work_hard 33
✓
0.341 0 0.00458
✗
0.627 0 0.0269
13 futur_gener 4
✓
0.0243 0 0.000398
✗
0.948 0 0.0269
14 special_interest 17
✓
0.0657 0 0.00199
✗
0.916 0 0.0161
15 ten_month 26
✓
0.0629 0 0.00199
✗
0.932 0 0.00318
16 tough_question 33
✓
0.12 0.000199 0.327
✗
0.549 0 0.00398
17 drug_compani 127
✓
0.866 0.000199 0.0159
✗
0.104 0 0.0139
18 school_suppli 65
✓
0.956 0 0.000597
✗
0.0438 0 0
19 week_ago 3
✓
0.0233 0 0.000796
✗
0.975 0 0.000597
20 young_woman 5
✓
0.0161 0 0.000398
✗
0.983 0 0
21 health_care 30
✓
0.112 0.000199 0.0338
✗
0.854 0 0.000199
22 health_care_reform 245
✓
0.325 0 0.415
✗
0.254 0 0.00617
23 fossil_fuel 15
✓
0.113 0 0.041
✗
0.491 0 0.355
24 solv_problem 40
✓
0.0762 0 0.353
✗
0.465 0 0.105
25 nation_secur 33
✓
0.0117 0 0.507
✗
0.0659 0 0.415
26 georg_bush 10
✓
0.00119 0 0.0903
✗
0.0195 0 0.889
27 real_peopl 242
✓
0.902 0 0.0816
✗
0.000597 0 0.0155
28 bill_clinton 27
✓
0.0999 0 0.0949
✗
0.757 0 0.0484
29 south_side 25
✓
0.157 0 0
✗
0.843 0 0
30 plant_close 14
✓
0.00736 0 0
✗
0.993 0 0
31 vote_booth 30
✓
0.946 0 0.000796
✗
0.0529 0 0
32 real_peopl 60
✓
0.231 0.000597 0.11
✗
0.658 0 0.000398
33 sound_good 25
✓
0.0406 0.00159 0.532
✗
0.33 0.000398 0.0957
34 campaign_trail 44
✓
0.8 0 0.0169
✗
0.131 0 0.0519
35 wall_street 15
✓
0.14 0 0.00438
✗
0.832 0 0.0241
36 job_train 3
✓
0.0324 0 0.000199
✗
0.965 0 0.00219
37 big_monei 19
✓
0.0424 0 0.00159
✗
0.956 0 0.000398
38 law_firm 1
✓
0.00299 0 0
✗
0.995 0 0.00159
39 health_care 27
✓
0.214 0.000199 0.00557
✗
0.78 0 0.000199
40 __NUM___peopl 2
✓
0.0271 0 0.000398
✗
0.968 0 0.00478
41 campaign_financ_reform 6
✓
0.0143 0 0.0111
✗
0.969 0 0.00517
42 same_thing 12
✓
0.044 0.000199 0.0312
✗
0.913 0 0.0115
43 independ_voter 178
✓
0.733 0.000995 0.112
✗
0.149 0 0.00478
44 long_time 26
✓
0.287 0 0.00537
✗
0.691 0 0.0165
45 blue_state 66
✓
0.16 0 0
✗
0.84 0 0
46 red_state 2
✓
0.00279 0 0
✗
0.997 0 0
47 poll_show 18
✓
0.0203 0 0.0394
✗
0.94 0 0
48 gener_elect 144
✓
0.197 0.000199 0.000995
✗
0.8 0 0.00159
49 good_intent 41
✓
0.0621 0 0.00537
✗
0.931 0.000199 0.00139
50 young_men 153
✓
0.205 0 0.000199
✗
0.795 0 0
51 lunch_counter 6
✓
0.00557 0 0
✗
0.994 0 0
52 ten_month 66
✓
0.0627 0 0
✗
0.937 0 0
53 month_ago 0
✓
0.000995 0 0
✗
0.999 0 0
54 washington_lobbyist 21
✓
0.0151 0 0.0183
✗
0.967 0 0
55 american_polit 57
✓
0.216 0.00159 0.0929
✗
0.679 0 0.0107
56 fight_back 94
✓
0.9 0 0.0229
✗
0.0752 0 0.00139
57 attack_ad 7
✓
0.072 0 0.000995
✗
0.917 0 0.00975
58 american_peopl 47
✓
0.13 0 0.39
✗
0.471 0 0.00876
59 stop_make 35
✓
0.0515 0.000199 0.342
✗
0.236 0 0.37
60 health_care 13
✓
0.0587 0.000199 0.358
✗
0.182 0.000199 0.401
61 tax_cut 12
✓
0.00139 0.000398 0.529
✗
0.00677 0 0.462
62 work_american 2
✓
0 0 0.0127
✗
0.00358 0.000199 0.983
63 job_oversea 8
✓
0 0 0.0738
✗
0 0 0.926
64 foreign_oil 46
✓
0.0149 0 0.47
✗
0 0 0.515
65 unit_state 30
✓
0.383 0 0.0557
✗
0.00915 0 0.552
66 american_dream 157
✓
0.821 0 0.0249
✗
0.146 0 0.00816
67 final_reach 31
✓
0.139 0 0.0183
✗
0.823 0 0.0203
__END_OF_SPEECH__ 49