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  5. 2007.03.15.speech_on_subprime_lending

Hillary Clinton

This speech titled 2007.03.15.speech_on_subprime_lending originally had 3925 tokens. In its cue-lag representation, it has 120 cue terms and an average lag of 29.9. 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 econom_develop 12
✓
0.993 0.00139 0.00517
✗
0 0 0
2 bring_peopl 29
✓
0.119 0 0
✗
0.881 0 0
3 econom_opportun 17
✓
0.0619 0 0.00438
✗
0.934 0 0
4 public_sector 32
✓
0.11 0.000398 0.0243
✗
0.862 0 0.00378
5 privat_sector 3
✓
0.00657 0.000199 0.000199
✗
0.965 0.000398 0.0275
6 john_taylor 59
✓
0.235 0.00697 0.0394
✗
0.697 0.000199 0.0221
7 __NUM___year 9
✓
0.107 0.000796 0.00458
✗
0.85 0.00318 0.0342
8 democrat_congress 64
✓
0.3 0.00517 0.00716
✗
0.682 0.000597 0.00577
9 commun_develop 12
✓
0.0356 0.00398 0.00159
✗
0.943 0.00498 0.0103
10 clinton_administr 25
✓
0.0714 0.000398 0.0446
✗
0.872 0.000398 0.0113
11 bring_peopl 52
✓
0.455 0.000199 0.0143
✗
0.507 0 0.0233
12 mainstream_econom 3
✓
0.0129 0.000398 0.0494
✗
0.9 0 0.0378
13 econom_opportun 3
✓
0.0193 0 0.0123
✗
0.882 0 0.0864
14 board_member 32
✓
0.0621 0.0129 0.263
✗
0.567 0 0.0949
15 american_govern 63
✓
0.036 0.00299 0.198
✗
0.429 0.000796 0.334
16 dark_ag 45
✓
0.044 0.00458 0.0338
✗
0.431 0.00179 0.485
17 long_ago 17
✓
0.0866 0.00358 0.0143
✗
0.425 0.00458 0.466
18 __MONEY___worth 216
✓
0.173 0.163 0.235
✗
0.171 0.00378 0.255
19 work_hard 69
✓
0.437 0.294 0.000995
✗
0.122 0.139 0.00716
20 american_dream 33
✓
0.0722 0.0925 0
✗
0.423 0.412 0.000398
21 held_back 13
✓
0.0213 0.0509 0.000796
✗
0.43 0.496 0.000398
22 middl_class 10
✓
0.00279 0.412 0
✗
0.0418 0.543 0
23 class_famili 0
✓
0.000199 0.00975 0
✗
0.0354 0.955 0
24 middl_class 10
✓
0.00119 0.0215 0
✗
0.0215 0.956 0
25 energi_cost 19
✓
0.00338 0.0285 0
✗
0.00975 0.958 0
26 healthcar_cost 2
✓
0.000995 0.00199 0.000398
✗
0.0131 0.983 0
27 previou_gener 33
✓
0.846 0.00478 0.00239
✗
0.00299 0.144 0
28 __NUM___million_peopl 6
✓
0.172 0 0
✗
0.828 0 0
29 health_insur 3
✓
0.0105 0 0
✗
0.989 0 0
30 __NUM___million_peopl 4
✓
0.0181 0 0
✗
0.982 0 0
31 foreign_oil 4
✓
0.0201 0 0.000398
✗
0.98 0 0
32 fellow_citizen 10
✓
0.0543 0 0.00219
✗
0.943 0 0.000398
33 gulf_coast 7
✓
0.0299 0 0.000199
✗
0.968 0 0.00239
34 american_dream 24
✓
0.0689 0.235 0.000199
✗
0.696 0 0
35 hous_market 46
✓
0.00677 0.732 0.00179
✗
0.0346 0.224 0
36 american_middl_class 44
✓
0.12 0.0358 0
✗
0.0332 0.811 0
37 colleg_graduat 27
✓
0.0476 0.0279 0.00119
✗
0.125 0.798 0
38 medic_cost 17
✓
0.0111 0.0579 0.00119
✗
0.115 0.814 0.00119
39 job_loss 16
✓
0.00995 0.033 0.000597
✗
0.1 0.854 0.00219
40 pennsylvania_avenu 29
✓
0.231 0.0159 0.00139
✗
0.0917 0.66 0
41 ceo_pai 23
✓
0.000398 0.334 0.000199
✗
0.00318 0.662 0
42 corpor_profit 4
✓
0 0.00836 0
✗
0 0.992 0
43 work_harder 12
✓
0.000398 0.0141 0
✗
0 0.985 0
44 creat___NUM__ 28
✓
0.00716 0.0273 0
✗
0 0.966 0
45 __NUM___million 0
✓
0 0.000995 0
✗
0.00716 0.992 0
46 tax_cut 127
✓
0 0.128 0
✗
0 0.872 0
47 __MONEY___trillion 9
✓
0 0.00816 0
✗
0 0.992 0
48 nation_debt 1
✓
0 0.00119 0
✗
0 0.999 0
49 trade_deficit 4
✓
0.000199 0.00279 0.00199
✗
0 0.995 0.000199
50 subprim_loan 70
✓
0 0.074 0
✗
0 0.926 0
51 highest_level 6
✓
0 0.00617 0
✗
0 0.994 0
52 subprim_market 21
✓
0.000199 0.0231 0
✗
0 0.977 0
53 big_deal 40
✓
0.047 0.0368 0.000597
✗
0.000199 0.915 0
54 subprim_market 61
✓
0.000199 0.107 0
✗
0 0.893 0
55 plai_field 85
✓
0 0.0794 0
✗
0 0.921 0
56 wall_street 10
✓
0 0.00935 0
✗
0 0.991 0
57 hous_market 7
✓
0 0.00597 0
✗
0 0.994 0
58 hard_work 4
✓
0.00299 0.00478 0
✗
0 0.992 0
59 work_famili 0
✓
0 0.000796 0
✗
0.00299 0.996 0
60 hous_market 84
✓
0 0.0802 0.000597
✗
0.000199 0.919 0
61 higher_rate 180
✓
0.0169 0.197 0.00398
✗
0 0.782 0.000199
62 subprim_market 3
✓
0 0.0231 0
✗
0.000199 0.977 0
63 feder_hous 7
✓
0 0.00617 0
✗
0 0.994 0
64 industri_leader 15
✓
0 0.00995 0
✗
0 0.99 0
65 low_incom 9
✓
0 0.00776 0
✗
0 0.992 0
66 home_buyer 1
✓
0 0.00199 0
✗
0 0.998 0
67 prime_mortgag 11
✓
0.00159 0.00975 0.000199
✗
0 0.988 0
68 govern_program 99
✓
0.954 0.00239 0.00756
✗
0.00239 0.0334 0.000199
69 __NUM___centuri 25
✓
0.0691 0.000199 0.000398
✗
0.919 0.00915 0.00259
70 inform_technolog 27
✓
0.0279 0.000597 0.000199
✗
0.964 0.00657 0.00119
71 high_cost 36
✓
0.106 0.234 0.00537
✗
0.647 0.00677 0.000398
72 home_buyer 8
✓
0.000597 0.723 0.000597
✗
0.0346 0.241 0.000597
73 subprim_loan 58
✓
0 0.0876 0
✗
0.000597 0.912 0
74 start_point 92
✓
0.0259 0.0842 0.0103
✗
0.000199 0.879 0
75 prime_mortgag 35
✓
0 0.0693 0.000199
✗
0.000199 0.93 0.000398
76 fine_print 45
✓
0.000597 0.038 0.000199
✗
0 0.961 0
77 lower_rate 111
✓
0.00318 0.114 0.00199
✗
0 0.881 0.000199
78 prime_mortgag 1
✓
0 0.00597 0
✗
0 0.994 0
79 low_incom 4
✓
0.000199 0.00338 0
✗
0 0.996 0
80 creat_incent 70
✓
0.0243 0.0641 0.00478
✗
0 0.907 0
81 commun_group 93
✓
0.0621 0.0921 0.00517
✗
0.0119 0.827 0.00179
82 local_govern 7
✓
0.0979 0.00637 0.0145
✗
0.0734 0.801 0.00697
83 commun_organ 53
✓
0.577 0.0197 0.00517
✗
0.0943 0.3 0.00418
84 year_ago 42
✓
0.0935 0.114 0.00318
✗
0.491 0.296 0.00219
85 credit_union 6
✓
0.0149 0.0185 0
✗
0.562 0.405 0
86 __MONEY___million 6
✓
0.00119 0.00736 0
✗
0.572 0.42 0
87 home_loan 3
✓
0.000597 0.00299 0.000398
✗
0.57 0.426 0
88 credit_union 36
✓
0.0111 0.0143 0
✗
0.565 0.41 0
89 __MONEY___million 17
✓
0.0167 0.00776 0.000398
✗
0.563 0.412 0
90 safeti_net 32
✓
0.0378 0.0275 0.00597
✗
0.536 0.393 0.000199
91 big_citi 28
✓
0.451 0.00239 0.000199
✗
0.498 0.0484 0
92 small_town 3
✓
0.0203 0.000199 0
✗
0.937 0.0422 0
93 text_messag 54
✓
0.125 0.00478 0.00219
✗
0.844 0.0239 0
94 cell_phone 37
✓
0.048 0 0
✗
0.952 0.000199 0
95 dinner_tabl 12
✓
0.00378 0 0
✗
0.996 0 0
96 global_economi 10
✓
0.00896 0.000796 0.000995
✗
0.989 0 0
97 reinvest_act 46
✓
0.00935 0 0.00517
✗
0.985 0 0.000796
98 thirti_year_ago 5
✓
0.00299 0.000199 0.00119
✗
0.99 0 0.00557
99 bank_lend 14
✓
0.00259 0 0
✗
0.991 0 0.00677
100 incom_borrow 7
✓
0.00219 0.000199 0.000199
✗
0.991 0 0.00677
101 peac_prize 47
✓
0.0706 0.000995 0.00279
✗
0.921 0 0.00498
102 park_lot 44
✓
0.0283 0.00119 0.00498
✗
0.959 0.000995 0.00597
103 great_american 56
✓
0.341 0 0
✗
0.659 0 0
104 american_dream 0
✓
0.00219 0 0
✗
0.998 0 0
105 organ_call 28
✓
0.039 0.000597 0.00259
✗
0.958 0 0
106 york_citi 15
✓
0.0722 0.00697 0.00517
✗
0.913 0.000597 0.00239
107 nation_capit 57
✓
0.0826 0.00716 0.0384
✗
0.861 0.00478 0.00577
108 smart_peopl 8
✓
0.0798 0.00259 0.00856
✗
0.859 0.00896 0.0412
109 work_hard 5
✓
0.555 0.00517 0.000398
✗
0.428 0.00776 0.00398
110 meet_peopl 15
✓
0.0945 0 0
✗
0.905 0 0
111 good_idea 7
✓
0.0324 0 0
✗
0.968 0 0
112 altern_energi 2
✓
0.00915 0 0.000199
✗
0.991 0 0
113 clinton_administr 25
✓
0.0205 0.000199 0.0223
✗
0.957 0 0
114 solv_problem 76
✓
0.0923 0.00219 0.0215
✗
0.869 0.000199 0.0143
115 rural_commun 123
✓
0.103 0 0.000199
✗
0.897 0 0.000199
116 highwai_system 5
✓
0.00159 0 0
✗
0.998 0 0.000199
117 global_economi 18
✓
0.0101 0 0.00119
✗
0.989 0 0
118 hous_project 7
✓
0.00557 0 0.00239
✗
0.991 0 0.00119
119 local_commun 8
✓
0.0107 0 0.00139
✗
0.984 0 0.00358
120 univers_healthcar 5
✓
0.702 0.00119 0.00299
✗
0.291 0 0.00318
__END_OF_SPEECH__ 19