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  5. 2007.05.21.remarks_in_miami_on_expanding_prek

Hillary Clinton

This speech titled 2007.05.21.remarks_in_miami_on_expanding_prek originally had 3945 tokens. In its cue-lag representation, it has 94 cue terms and an average lag of 38.0. 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 famili_member 180
✓
0.989 0.00159 0.00915
✗
0 0 0
2 long_time 69
✓
0.255 0.00378 0.000199
✗
0.74 0.000199 0.000199
3 law_school 9
✓
0.0358 0.00995 0.000796
✗
0.95 0.00378 0
4 year_ago 146
✓
0.396 0.0629 0.103
✗
0.432 0.00577 0.000597
5 head_start 189
✓
0.603 0.0189 0.0155
✗
0.347 0.00816 0.00697
6 solv_problem 12
✓
0.0496 0.00318 0.0448
✗
0.862 0.0189 0.0219
7 world_todai 191
✓
0.512 0.00159 0.11
✗
0.351 0.000597 0.0247
8 global_economi 38
✓
0.216 0.00896 0.00299
✗
0.735 0.00119 0.0366
9 educ_system 35
✓
0.192 0 0.000199
✗
0.808 0 0
10 work_condit 35
✓
0.136 0.000199 0
✗
0.864 0 0
11 child_left 28
✓
0.117 0 0
✗
0.883 0 0
12 attend_colleg 19
✓
0.076 0.000597 0
✗
0.923 0 0
13 child_care 42
✓
0.151 0.00478 0.000199
✗
0.843 0.000398 0
14 educ_system 56
✓
0.213 0 0
✗
0.787 0 0
15 univers_pre 26
✓
0.0995 0 0
✗
0.9 0 0
16 technolog_advanc 37
✓
0.135 0.000796 0.0149
✗
0.849 0 0
17 elementari_school 30
✓
0.14 0 0.000398
✗
0.859 0 0.000995
18 long_time 5
✓
0.0219 0 0
✗
0.978 0 0
19 time_ago 0
✓
0.00279 0 0
✗
0.997 0 0
20 singl_mom 13
✓
0.0501 0 0
✗
0.95 0 0
21 public_school 160
✓
0.444 0.00318 0.0603
✗
0.493 0 0
22 great_equal 2
✓
0.00995 0.00219 0.00358
✗
0.921 0.00318 0.0603
23 white_hous 115
✓
0.473 0.000398 0.000796
✗
0.526 0 0
24 child_care 3
✓
0.0173 0.000398 0
✗
0.982 0.000398 0.000199
25 cut_back 58
✓
0.202 0.00617 0.000398
✗
0.791 0 0
26 earli_childhood 9
✓
0.044 0 0.000597
✗
0.955 0.000796 0
27 head_start 14
✓
0.0603 0.000597 0.000199
✗
0.938 0.000597 0.000597
28 singl_mom 85
✓
0.294 0.000199 0
✗
0.706 0 0
29 child_care 7
✓
0.0299 0.00179 0
✗
0.968 0 0
30 health_care 15
✓
0.0569 0.000995 0
✗
0.941 0.000796 0
31 hard_work 35
✓
0.131 0.00358 0.000398
✗
0.864 0.000995 0
32 big_problem 63
✓
0.218 0.00537 0.03
✗
0.746 0.00119 0.000199
33 earli_year 71
✓
0.234 0.000398 0.102
✗
0.645 0 0.0179
34 head_start 29
✓
0.0997 0.00199 0.00299
✗
0.781 0.000199 0.114
35 earli_childhood 56
✓
0.151 0 0.12
✗
0.612 0 0.117
36 make_sens 1
✓
0.00438 0 0.00498
✗
0.754 0 0.237
37 nobel_prize 7
✓
0.00716 0 0.00935
✗
0.742 0 0.242
38 white_student 24
✓
0.352 0.00557 0.0412
✗
0.352 0 0.249
39 high_school 8
✓
0.289 0 0.00139
✗
0.436 0.000398 0.273
40 earli_year 27
✓
0.0923 0 0.00179
✗
0.643 0 0.263
41 special_educ 143
✓
0.346 0 0.000597
✗
0.417 0 0.236
42 high_school 10
✓
0.0308 0 0.00119
✗
0.732 0 0.236
43 feder_reserv_bank 64
✓
0.153 0.000995 0.0448
✗
0.569 0 0.233
44 earli_childhood 8
✓
0.0241 0 0.00119
✗
0.702 0 0.272
45 annual_rate 3
✓
0.00816 0 0.000398
✗
0.718 0 0.273
46 earli_childhood 18
✓
0.0651 0 0.000199
✗
0.668 0 0.266
47 busi_group 31
✓
0.173 0.00219 0.00418
✗
0.635 0 0.186
48 econom_develop 5
✓
0.267 0.000199 0
✗
0.717 0 0.0159
49 univers_pre 2
✓
0.0257 0 0
✗
0.963 0 0.0109
50 prison_system 148
✓
0.437 0.00856 0.0231
✗
0.527 0 0.00458
51 spend_monei 17
✓
0.074 0.000199 0.000597
✗
0.918 0.000796 0.00637
52 cut_back 19
✓
0.0551 0.00318 0
✗
0.94 0.000796 0.000796
53 feder_govern 30
✓
0.0557 0.00139 0.000398
✗
0.941 0.00179 0
54 cut_back 17
✓
0.031 0.000398 0
✗
0.967 0.00179 0
55 save_monei 6
✓
0.0155 0 0
✗
0.984 0 0
56 __NUM___peopl 22
✓
0.0117 0 0
✗
0.988 0 0
57 kill___NUM__ 2
✓
0.00119 0 0
✗
0.999 0 0
58 __NUM___million 13
✓
0.00318 0.000995 0
✗
0.996 0 0
59 million_dollar 0
✓
0 0 0
✗
0.999 0.000995 0
60 make_sens 10
✓
0.00119 0.00119 0
✗
0.997 0.000995 0
61 __NUM___billion 55
✓
0.00597 0.0285 0
✗
0.964 0.00199 0
62 billion_dollar 0
✓
0.000199 0.000796 0
✗
0.969 0.0302 0
63 pretti_good 34
✓
0.982 0.000199 0.00517
✗
0.0127 0 0
64 good_invest 0
✓
0.00617 0 0
✗
0.989 0 0.00498
65 __NUM___state 11
✓
0.0555 0 0
✗
0.94 0 0.00498
66 make_good 39
✓
0.14 0.0129 0.0107
✗
0.832 0 0.00498
67 constitut_amend 3
✓
0.0135 0.000995 0.00279
✗
0.955 0.0121 0.0155
68 univers_pre 38
✓
0.185 0.00199 0
✗
0.813 0 0
69 __NUM___billion 10
✓
0.036 0.104 0
✗
0.858 0.00199 0
70 billion_dollar 0
✓
0 0.000796 0
✗
0.893 0.106 0
71 bachelor_degre 59
✓
0.393 0.0257 0.041
✗
0.489 0.0513 0
72 earli_childhood 5
✓
0.407 0.000199 0.000995
✗
0.554 0.00418 0.033
73 head_start 66
✓
0.349 0.0201 0.00159
✗
0.606 0.00279 0.0205
74 same_thing 236
✓
0.631 0.0428 0.0157
✗
0.306 0.00318 0.00119
75 __NUM___billion 80
✓
0.0261 0.864 0.000199
✗
0.0649 0.044 0.00119
76 billion_dollar 0
✓
0.000199 0.00159 0.000199
✗
0.09 0.907 0.00139
77 bush_administr 31
✓
0.00139 0.0561 0.0338
✗
0.0408 0.867 0.00119
78 trillion_dollar 33
✓
0.000597 0.0681 0.00677
✗
0.00677 0.895 0.0233
79 iraq_war 3
✓
0.000796 0.00458 0.00876
✗
0.00557 0.95 0.0299
80 same_time 26
✓
0.0659 0.0205 0.0165
✗
0.00517 0.857 0.0346
81 year_ago 21
✓
0.279 0.0149 0.00677
✗
0.0591 0.62 0.0199
82 law_school 7
✓
0.105 0.00438 0.000796
✗
0.327 0.555 0.00756
83 famili_member 124
✓
0.733 0.00119 0.00935
✗
0.255 0.000796 0.000796
84 ten_year_ago 26
✓
0.0985 0.00119 0.00975
✗
0.882 0.00119 0.00756
85 polic_offic 52
✓
0.228 0 0.000796
✗
0.765 0 0.00537
86 young_peopl 72
✓
0.408 0.000398 0.0107
✗
0.577 0 0.00478
87 make_good 31
✓
0.117 0 0.0145
✗
0.853 0 0.0149
88 good_invest 0
✓
0.00418 0 0.00239
✗
0.964 0 0.0295
89 public_educ 7
✓
0.0253 0 0.0732
✗
0.869 0 0.0324
90 test_score 31
✓
0.0185 0 0.722
✗
0.154 0 0.105
91 privat_school 5
✓
0.00179 0 0.0683
✗
0.104 0 0.826
92 public_school 5
✓
0.000995 0 0.00159
✗
0.103 0 0.894
93 privat_school 43
✓
0.0101 0 0.000796
✗
0.0943 0 0.895
94 public_school 21
✓
0.0308 0.000199 0.000199
✗
0.0969 0 0.872
__END_OF_SPEECH__ 21