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  5. 2008.05.01.remarks_on_day_four_of_the_call_to_action_tour_in_cleveland_ohio

John McCain

This speech titled 2008.05.01.remarks_on_day_four_of_the_call_to_action_tour_in_cleveland_ohio originally had 1333 tokens. In its cue-lag representation, it has 51 cue terms and an average lag of 23.0. 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 great_citi 26
✓
0.00219 0 0.998
✗
0 0 0
2 heart_diseas 49
✓
0 0 0.103
✗
0 0 0.897
3 young_boi 8
✓
0 0 0.000796
✗
0 0 0.999
4 research_institut 15
✓
0 0 0.000398
✗
0 0 1
5 inform_technolog 48
✓
0 0 0.000398
✗
0 0 1
6 health_care 17
✓
0 0 0
✗
0 0 1
7 american_medic 14
✓
0 0 0
✗
0 0 1
8 medic_scienc 0
✓
0 0 0.000199
✗
0 0 1
9 health_care_system 2
✓
0 0 0.000199
✗
0 0 1
10 fall_short 2
✓
0 0 0.000199
✗
0 0 1
11 low_cost 6
✓
0 0 0.000199
✗
0 0 1
12 health_care_system 11
✓
0 0 0
✗
0 0 1
13 fundament_problem 4
✓
0 0 0
✗
0 0 1
14 rise_cost 5
✓
0 0 0
✗
0 0 1
15 health_care_cost 28
✓
0 0 0.000597
✗
0 0 0.999
16 american_economi 23
✓
0 0 0.000796
✗
0 0 0.999
17 rise_cost 2
✓
0 0 0
✗
0 0 1
18 move_closer 50
✓
0 0 0.00119
✗
0 0 0.999
19 nation_health 3
✓
0 0 0
✗
0 0 1
20 health_care_system 0
✓
0 0 0
✗
0 0 1
21 univers_coverag 4
✓
0 0 0
✗
0 0 1
22 tax_increas 5
✓
0 0 0
✗
0 0 1
23 govern_regul 6
✓
0 0 0.000199
✗
0 0 1
24 govern_monopoli 43
✓
0 0 0.000796
✗
0 0 0.999
25 health_care 12
✓
0 0 0.000398
✗
0 0 1
26 great_strength 16
✓
0 0 0.000597
✗
0 0 0.999
27 real_reform 29
✓
0 0 0.000199
✗
0 0 1
28 care_system 9
✓
0 0 0
✗
0 0 1
29 health_care 13
✓
0 0 0.000199
✗
0 0 1
30 american_famili 38
✓
0 0 0.00119
✗
0 0 0.999
31 tax_credit 79
✓
0 0 0.000597
✗
0 0 0.999
32 big_compani 14
✓
0 0 0.000398
✗
0 0 1
33 small_busi 4
✓
0.000199 0 0
✗
0 0 1
34 health_care 38
✓
0 0 0.000398
✗
0 0 1
35 health_plan 10
✓
0 0 0
✗
0 0 1
36 care_plan 25
✓
0 0 0.000597
✗
0 0 0.999
37 singl_person 187
✓
0 0 0.00597
✗
0 0 0.994
38 inform_technolog 5
✓
0 0 0.000199
✗
0 0 1
39 state_line 91
✓
0 0 0.000995
✗
0 0 0.999
40 chronic_condit 5
✓
0 0 0
✗
0 0 1
41 heart_diseas 6
✓
0 0 0.000199
✗
0 0 1
42 blood_pressur 3
✓
0 0 0.000398
✗
0 0 1
43 care_bill 17
✓
0 0 0.000199
✗
0 0 1
44 inform_technolog 16
✓
0 0 0.000796
✗
0 0 0.999
45 payment_system 36
✓
0 0 0.000398
✗
0 0 1
46 lower_cost 34
✓
0 0 0.000398
✗
0 0 1
47 health_care 26
✓
0 0 0.000597
✗
0 0 0.999
48 medic_record 12
✓
0 0 0.000199
✗
0 0 1
49 lower_cost 8
✓
0 0 0
✗
0 0 1
50 medic_record 58
✓
0 0 0.000796
✗
0 0 0.999
51 health_care 25
✓
0.00557 0 0.00299
✗
0 0 0.991
__END_OF_SPEECH__ 42