1. Home
  2. Results: Stage 2
  3. John McCain
  4. 2008 General
  5. 2008.04.28.remarks_at_miami_childrens_hospital_on_day_one_of_the_call_to_action_tour

John McCain

This speech titled 2008.04.28.remarks_at_miami_childrens_hospital_on_day_one_of_the_call_to_action_tour originally had 1156 tokens. In its cue-lag representation, it has 54 cue terms and an average lag of 18.1. 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 medic_scienc 60
✓
0 0 1
✗
0 0 0
2 technolog_advanc 27
✓
0 0 0.000796
✗
0 0 0.999
3 american_medic 4
✓
0 0 0.000398
✗
0 0 1
4 medic_scienc 0
✓
0 0 0
✗
0 0 1
5 heart_diseas 18
✓
0 0 0.000199
✗
0 0 1
6 young_boi 8
✓
0 0 0.000398
✗
0 0 1
7 medic_devic 30
✓
0.000199 0 0
✗
0 0 1
8 american_famili 15
✓
0.000199 0 0.000398
✗
0 0 0.999
9 health_care 54
✓
0 0 0.000995
✗
0 0 0.999
10 health_care_system 25
✓
0 0 0.000398
✗
0 0 1
11 medic_error 31
✓
0 0 0
✗
0 0 1
12 health_insur 13
✓
0 0 0
✗
0 0 1
13 health_care 6
✓
0 0 0.000199
✗
0 0 1
14 __MONEY___trillion 16
✓
0.000597 0 0
✗
0 0 0.999
15 health_care 16
✓
0 0 0.000995
✗
0 0 0.999
16 health_insur 29
✓
0 0 0.000597
✗
0 0 0.999
17 health_care 6
✓
0 0 0
✗
0 0 1
18 american_worker 12
✓
0 0 0.000597
✗
0 0 0.999
19 rise_cost 6
✓
0 0 0.000199
✗
0 0 1
20 health_care 2
✓
0 0 0
✗
0 0 1
21 health_insur 2
✓
0 0 0
✗
0 0 1
22 lower_cost 35
✓
0 0 0
✗
0 0 1
23 health_care_system 19
✓
0 0 0.000199
✗
0 0 1
24 real_peopl 62
✓
0 0 0.00139
✗
0 0 0.999
25 peopl_pai 0
✓
0 0 0
✗
0 0 1
26 medic_scienc 21
✓
0 0 0.000597
✗
0 0 0.999
27 long_line 39
✓
0 0 0.0121
✗
0 0 0.988
28 health_care 5
✓
0 0 0.000199
✗
0 0 1
29 lower_cost 22
✓
0 0 0.000199
✗
0 0 1
30 health_care_system 15
✓
0 0 0
✗
0 0 1
31 american_famili 10
✓
0 0 0.000398
✗
0 0 1
32 insur_compani 6
✓
0 0 0.000199
✗
0 0 1
33 health_care_system 25
✓
0 0 0.000199
✗
0 0 1
34 nurs_home 21
✓
0 0 0.000199
✗
0 0 1
35 emerg_room 10
✓
0 0 0
✗
0 0 1
36 medic_error 22
✓
0 0 0.000199
✗
0 0 1
37 pharmaceut_compani 6
✓
0 0 0
✗
0 0 1
38 insur_compani 31
✓
0 0 0.000398
✗
0 0 1
39 medic_care 5
✓
0 0 0.000199
✗
0 0 1
40 health_care_system 58
✓
0 0 0.00119
✗
0 0 0.999
41 lower_cost 22
✓
0 0 0.000796
✗
0 0 0.999
42 health_insur 5
✓
0 0 0
✗
0 0 1
43 insur_system 0
✓
0 0 0
✗
0 0 1
44 public_health 28
✓
0 0 0.000597
✗
0 0 0.999
45 health_program 0
✓
0 0 0
✗
0 0 1
46 person_respons 6
✓
0 0 0.000199
✗
0 0 1
47 health_care_system 46
✓
0 0 0.000199
✗
0 0 1
48 lower_cost 16
✓
0 0 0
✗
0 0 1
49 big_govern 18
✓
0 0 0
✗
0 0 1
50 govern_takeov 0
✓
0 0 0
✗
0 0 1
51 health_care 2
✓
0 0 0.000398
✗
0 0 1
52 american_peopl 14
✓
0.00517 0 0.0406
✗
0 0 0.954
53 american_famili 6
✓
0.000199 0 0.00139
✗
0.00498 0 0.993
54 public_trust 44
✓
0.000199 0 0.0468
✗
0 0 0.953
__END_OF_SPEECH__ 52