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  5. 2007.10.24.mary_louise_smith_lecture_at_the_catt_center_for_women_and_politics_at_iowa_state_university_in_ames

Hillary Clinton

This speech titled 2007.10.24.mary_louise_smith_lecture_at_the_catt_center_for_women_and_politics_at_iowa_state_university_in_ames originally had 4764 tokens. In its cue-lag representation, it has 95 cue terms and an average lag of 45.7. 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 attornei_gener 92
✓
0.975 0.000398 0.0249
✗
0 0 0
2 elect_offici 15
✓
0.0675 0.000199 0
✗
0.926 0.000199 0.00597
3 public_life 159
✓
0.428 0.000199 0.00776
✗
0.563 0 0.000597
4 republican_nation_committe 25
✓
0.0764 0.000995 0.00498
✗
0.91 0 0.00736
5 role_model 68
✓
0.0199 0.000398 0.00199
✗
0.968 0 0.00935
6 life_work 49
✓
0.082 0 0
✗
0.916 0 0.00159
7 women_suffrag 32
✓
0.0161 0 0.000398
✗
0.982 0 0.00119
8 american_woman 22
✓
0.00756 0.000199 0
✗
0.991 0 0.000796
9 nation_level 52
✓
0.00697 0 0.000398
✗
0.992 0 0.000796
10 young_women 40
✓
0.00657 0 0
✗
0.993 0 0.000199
11 law_school 113
✓
0.00935 0 0
✗
0.991 0 0
12 harvard_law 8
✓
0 0 0
✗
1 0 0
13 law_professor 0
✓
0 0 0
✗
1 0 0
14 law_school 28
✓
0.000796 0 0
✗
0.999 0 0
15 __NUM___student 10
✓
0.000199 0 0
✗
1 0 0
16 law_school 17
✓
0.000796 0 0
✗
0.999 0 0
17 law_professor 93
✓
0.000995 0 0
✗
0.999 0 0
18 capitol_hill 17
✓
0.000199 0 0
✗
1 0 0
19 senat_floor 17
✓
0.000398 0 0
✗
1 0 0
20 harvard_law 39
✓
0.000597 0 0
✗
0.999 0 0
21 law_professor 0
✓
0 0 0
✗
1 0 0
22 harvard_univers 8
✓
0 0 0
✗
1 0 0
23 nation_leader 84
✓
0.00836 0.000199 0.00378
✗
0.988 0 0
24 women_suffrag 46
✓
0.00995 0.000398 0.000199
✗
0.987 0 0.00239
25 histori_book 87
✓
0.958 0.000796 0.00199
✗
0.0386 0 0.000398
26 singl_dai 16
✓
0.0689 0.00219 0
✗
0.928 0.000597 0.000199
27 de_moin 165
✓
0.511 0 0
✗
0.489 0 0
28 lunch_counter 1
✓
0.00697 0.000199 0.000796
✗
0.992 0 0
29 suprem_court 36
✓
0.148 0.000597 0.0392
✗
0.812 0 0.000398
30 __NUM___countri 31
✓
0.0125 0.000199 0.836
✗
0.113 0 0.039
31 northern_ireland 53
✓
0.0376 0.000398 0.0728
✗
0.0838 0 0.805
32 famili_member 18
✓
0.708 0.00239 0.00418
✗
0.0913 0 0.194
33 kitchen_tabl 139
✓
0.556 0.000597 0.00219
✗
0.433 0 0.00756
34 foster_care 138
✓
0.443 0 0.000199
✗
0.557 0 0
35 famili_leav 4
✓
0.0199 0 0.000199
✗
0.98 0 0.000199
36 kitchen_tabl 33
✓
0.278 0 0.000597
✗
0.722 0 0
37 health_insur 33
✓
0.129 0.000796 0.000199
✗
0.87 0 0
38 __NUM___cent 17
✓
0.0581 0 0.000398
✗
0.941 0 0
39 global_economi 45
✓
0.132 0.00259 0.000995
✗
0.864 0 0
40 famili_leav 25
✓
0.0597 0 0.000199
✗
0.94 0.000597 0
41 earli_1980 18
✓
0.039 0.000199 0.000597
✗
0.96 0.000597 0
42 law_firm 6
✓
0.0117 0.000199 0.000796
✗
0.986 0.000796 0.000199
43 peopl_feel 185
✓
0.175 0.00219 0.000796
✗
0.821 0.000199 0
44 famili_life 11
✓
0.00517 0 0
✗
0.994 0.000796 0.000398
45 colleg_professor 90
✓
0.0147 0 0.000597
✗
0.985 0 0
46 busi_leader 6
✓
0.00637 0 0
✗
0.993 0 0.000398
47 famili_leav 16
✓
0.00876 0 0
✗
0.991 0 0.000199
48 __NUM___billion 167
✓
0.274 0.706 0.000796
✗
0.0191 0 0
49 billion_dollar 0
✓
0 0.000199 0
✗
0.293 0.706 0.000796
50 peopl_live 50
✓
0.564 0.031 0.00517
✗
0.00995 0.39 0.000199
51 pai_attent 65
✓
0.502 0.00358 0.0129
✗
0.434 0.0468 0.000995
52 famili_farm 19
✓
0.0762 0.073 0.000995
✗
0.799 0.048 0.00299
53 medic_bill 6
✓
0.0287 0.071 0.000597
✗
0.778 0.121 0.00139
54 health_insur 52
✓
0.318 0.00537 0
✗
0.626 0.0503 0
55 polit_process 83
✓
0.361 0.000995 0.00637
✗
0.629 0.00279 0
56 vote_booth 147
✓
0.467 0.00119 0.00716
✗
0.523 0.000199 0.00159
57 __DATE___dai 26
✓
0.0971 0.00338 0.00876
✗
0.882 0.00119 0.00716
58 __NUM___year 62
✓
0.253 0.0105 0.0291
✗
0.697 0.00239 0.00796
59 face_todai 32
✓
0.114 0.0607 0.0165
✗
0.77 0.0119 0.0277
60 lost_sight 46
✓
0.147 0.00577 0.118
✗
0.667 0.0225 0.0402
61 feder_level 37
✓
0.0993 0.000796 0.00935
✗
0.746 0.00179 0.143
62 half_million 18
✓
0.0348 0.000597 0.0123
✗
0.802 0.00159 0.149
63 __NUM___vote 23
✓
0.07 0.00259 0.0275
✗
0.748 0.00159 0.15
64 perfect_union 144
✓
0.884 0 0.000199
✗
0.115 0 0.00119
65 __NUM___cent 25
✓
0.0935 0 0.000796
✗
0.905 0 0.000796
66 __NUM___minut 7
✓
0.0378 0 0.000796
✗
0.961 0 0.000597
67 unit_state 29
✓
0.156 0 0.00139
✗
0.842 0 0.000199
68 suprem_court 1
✓
0.00935 0 0
✗
0.99 0 0.000796
69 __NUM___year 23
✓
0.0846 0.00139 0.00478
✗
0.909 0 0.000398
70 start_talk 94
✓
0.312 0.031 0.00597
✗
0.649 0.000398 0.00119
71 appel_court 75
✓
0.284 0.00398 0.0135
✗
0.69 0.00657 0.00259
72 suprem_court 8
✓
0.0613 0 0.000199
✗
0.935 0.000398 0.00338
73 same_job 34
✓
0.136 0.000597 0
✗
0.864 0 0
74 make_good 37
✓
0.134 0.00219 0.00159
✗
0.862 0.000398 0
75 suprem_court 16
✓
0.0661 0 0.000597
✗
0.933 0.000199 0
76 hard_work 33
✓
0.123 0.00119 0
✗
0.876 0.000199 0
77 univers_pre 53
✓
0.193 0.00139 0
✗
0.805 0.000398 0
78 face_todai 41
✓
0.0814 0.476 0.000398
✗
0.44 0.00219 0
79 averag_american 11
✓
0 0.524 0
✗
0.000597 0.476 0
80 american_famili 0
✓
0 0.00139 0
✗
0 0.999 0
81 thousand_dollar 4
✓
0.000199 0.00338 0
✗
0 0.996 0
82 health_care 18
✓
0.0135 0.0163 0
✗
0.000199 0.97 0
83 mortgag_market 81
✓
0.000398 0.0915 0.000398
✗
0.000199 0.907 0
84 nation_debt 33
✓
0 0.0314 0
✗
0 0.969 0
85 __MONEY___trillion 2
✓
0.000796 0.00159 0.000398
✗
0 0.997 0.000199
86 voic_heard 60
✓
0.993 0 0
✗
0.00119 0.00537 0
87 __NUM___million 24
✓
0.085 0.0137 0.000199
✗
0.897 0.00458 0
88 meet_peopl 83
✓
0.32 0 0.000199
✗
0.68 0 0
89 young_person 29
✓
0.105 0 0
✗
0.895 0 0
90 turn___NUM__ 1
✓
0.0101 0 0
✗
0.99 0 0
91 meet_peopl 18
✓
0.0732 0 0.000398
✗
0.926 0 0
92 white_hous 54
✓
0.191 0.000597 0.00736
✗
0.801 0 0.000199
93 hard_work 64
✓
0.238 0.00617 0
✗
0.755 0.000398 0
94 __NUM___year 91
✓
0.3 0.00478 0.0265
✗
0.668 0.000597 0
95 great_nation 170
✓
0.534 0.00299 0.00657
✗
0.455 0.000398 0.00139
__END_OF_SPEECH__ 52