Measuring Ideological Proportions in Political Speeches

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
#	Cue term	Lag before term	Restart		∑Left	Center	∑Right
1	democrat_nation_committe	79		✓	0.999	0.000398	0.000597
1	democrat_nation_committe	79		✗	0	0	0
2	air_forc	34		✓	0.155	0	0
2	air_forc	34		✗	0.845	0	0
3	polit_campaign	54		✓	0.227	0	0.000199
3	polit_campaign	54		✗	0.773	0	0
4	term_limit	10		✓	0.0456	0	0
4	term_limit	10		✗	0.954	0	0
5	polit_campaign	18		✓	0.0846	0	0
5	polit_campaign	18		✗	0.915	0	0
6	state_senat	22		✓	0.0963	0	0
6	state_senat	22		✗	0.904	0	0
7	unit_state	7		✓	0.0346	0	0
7	unit_state	7		✗	0.965	0	0
8	state_senat	0		✓	0.00418	0	0
8	state_senat	0		✗	0.996	0	0
9	air_forc	25		✓	0.115	0	0.000398
9	air_forc	25		✗	0.885	0	0
10	black_folk	144		✓	0.537	0.00259	0.00597
10	black_folk	144		✗	0.454	0	0
11	white_folk	2		✓	0.0171	0	0
11	white_folk	2		✗	0.981	0.000398	0.00179
12	nativ_american	6		✓	0.0675	0	0
12	nativ_american	6		✗	0.933	0	0
13	world_war_ii	63		✓	0.306	0	0
13	world_war_ii	63		✗	0.694	0	0
14	assembl_line	9		✓	0.0354	0	0.000995
14	assembl_line	9		✗	0.964	0	0
15	gi_bill	23		✓	0.102	0	0
15	gi_bill	23		✗	0.898	0	0
16	greatest_gener	27		✓	0.121	0	0.000199
16	greatest_gener	27		✗	0.878	0	0
17	middl_class	10		✓	0.0442	0.000199	0.0416
17	middl_class	10		✗	0.914	0	0.000199
18	singl_mom	134		✓	0.537	0.000199	0
18	singl_mom	134		✗	0.462	0	0
19	work_hard	44		✓	0.192	0	0.000796
19	work_hard	44		✗	0.807	0	0
20	same_time	8		✓	0.0424	0	0
20	same_time	8		✗	0.958	0	0
21	american_experi	86		✓	0.358	0	0.00259
21	american_experi	86		✗	0.639	0	0
22	basic_idea	3		✓	0.0181	0	0.000796
22	basic_idea	3		✗	0.979	0	0.00219
23	hard_work	61		✓	0.244	0	0.00617
23	hard_work	61		✗	0.75	0	0
24	health_care	64		✓	0.267	0.000796	0.035
24	health_care	64		✗	0.695	0	0.00219
25	american_dream	71		✓	0.334	0	0.00378
25	american_dream	71		✗	0.66	0	0.00139
26	work_peopl	23		✓	0.0609	0	0.438
26	work_peopl	23		✗	0.496	0	0.00537
27	middl_class	19		✓	0.00219	0.000199	0.554
27	middl_class	19		✗	0.0255	0	0.418
28	class_famili	0		✓	0	0.000199	0.0161
28	class_famili	0		✗	0.0145	0.000199	0.969
29	tax_cut	25		✓	0	0.000398	0.0941
29	tax_cut	25		✗	0.000199	0	0.905
30	wall_street	11		✓	0.000398	0	0.0382
30	wall_street	11		✗	0	0	0.961
31	econom_crisi	11		✓	0	0	0.0386
31	econom_crisi	11		✗	0	0	0.961
32	financi_crisi	2		✓	0	0	0.00935
32	financi_crisi	2		✗	0	0	0.991
33	great_depress	3		✓	0.000398	0	0.0125
33	great_depress	3		✗	0	0	0.987
34	__NUM___year	20		✓	0.00438	0	0.0659
34	__NUM___year	20		✗	0.000199	0	0.93
35	financi_crisi	19		✓	0	0	0.0635
35	financi_crisi	19		✗	0	0	0.937
36	econom_crisi	2		✓	0.00159	0	0.00816
36	econom_crisi	2		✗	0	0	0.99
37	american_peopl	38		✓	0.0468	0.000199	0.124
37	american_peopl	38		✗	0.00119	0	0.828
38	small_busi	5		✓	0.00139	0.0179	0.0466
38	small_busi	5		✗	0.0187	0.000199	0.915
39	busi_owner	0		✓	0.000995	0	0.00478
39	busi_owner	0		✗	0.0189	0.0181	0.957
40	auto_compani	34		✓	0.0299	0.000398	0.105
40	auto_compani	34		✗	0.00995	0.00896	0.846
41	factori_worker	33		✓	0.964	0	0.00398
41	factori_worker	33		✗	0.0306	0	0.000995
42	north_carolina	2		✓	0.0163	0	0
42	north_carolina	2		✗	0.983	0	0.000398
43	local_commun	18		✓	0.0782	0	0
43	local_commun	18		✗	0.922	0	0
44	commun_colleg	0		✓	0.00498	0	0
44	commun_colleg	0		✗	0.995	0	0
45	american_peopl	36		✓	0.157	0	0.0161
45	american_peopl	36		✗	0.827	0	0
46	unit_state	122		✓	0.384	0	0.201
46	unit_state	122		✗	0.409	0	0.00617
47	insur_compani	127		✓	0.0131	0	0.857
47	insur_compani	127		✗	0.0115	0	0.119
48	creat_job	27		✓	0.000398	0	0.11
48	creat_job	27		✗	0	0	0.89
49	mitt_romnei	6		✓	0.000199	0	0.0259
49	mitt_romnei	6		✗	0	0	0.974
50	middl_class	63		✓	0.1	0	0.178
50	middl_class	63		✗	0.000199	0	0.722
51	unit_state	49		✓	0.158	0	0.14
51	unit_state	49		✗	0.0677	0	0.634
52	tax_cut	73		✓	0.000199	0.000398	0.42
52	tax_cut	73		✗	0.000597	0	0.579
53	__MONEY___trillion	10		✓	0	0	0.0354
53	__MONEY___trillion	10		✗	0	0	0.965
54	tax_cut	7		✓	0	0	0.0257
54	tax_cut	7		✗	0	0	0.974
55	job_train	35		✓	0.00159	0	0.122
55	job_train	35		✗	0	0	0.876
56	financi_aid	2		✓	0	0	0.0117
56	financi_aid	2		✗	0	0	0.988
57	rais_tax	5		✓	0	0	0.0179
57	rais_tax	5		✗	0	0	0.982
58	middl_class	3		✓	0.00119	0	0.0131
58	middl_class	3		✗	0	0	0.986
59	roll_back	13		✓	0.00796	0	0.039
59	roll_back	13		✗	0.000796	0	0.952
60	health_care_reform	1		✓	0.187	0	0.00557
60	health_care_reform	1		✗	0.00955	0	0.797
61	prescript_drug	13		✓	0.778	0	0.000995
61	prescript_drug	13		✗	0.197	0	0.0249
62	voucher_program	8		✓	0.00259	0	0.000398
62	voucher_program	8		✗	0.974	0	0.0235
63	health_insur	17		✓	0.00517	0	0.00119
63	health_insur	17		✗	0.975	0	0.0189
64	studi_found	17		✓	0.00378	0	0.00239
64	studi_found	17		✗	0.978	0	0.0159
65	health_care_system	87		✓	0.035	0	0.00955
65	health_care_system	87		✗	0.951	0	0.00458
66	cut_back	15		✓	0.00179	0	0.755
66	cut_back	15		✗	0.23	0	0.0135
67	govern_spend	1		✓	0	0	0.166
67	govern_spend	1		✗	0.0708	0	0.763
68	bill_clinton	30		✓	0.000398	0	0.168
68	bill_clinton	30		✗	0.000199	0	0.832
69	__NUM___million	11		✓	0.00975	0.000199	0.0368
69	__NUM___million	11		✗	0.000398	0	0.953
70	auto_industri	94		✓	0.000796	0	0.326
70	auto_industri	94		✗	0	0	0.673
71	__NUM___million_job	10		✓	0	0	0.0354
71	__NUM___million_job	10		✗	0	0	0.965
72	american_worker	33		✓	0.000398	0	0.102
72	american_worker	33		✗	0	0	0.898
73	american_manufactur	9		✓	0	0	0.0348
73	american_manufactur	9		✗	0	0	0.965
74	__NUM___year	2		✓	0	0	0.00736
74	__NUM___year	2		✗	0	0	0.993
75	auto_industri	5		✓	0	0	0.0177
75	auto_industri	5		✗	0	0	0.982
76	manufactur_job	16		✓	0	0	0.0611
76	manufactur_job	16		✗	0	0	0.939
77	auto_industri	8		✓	0	0	0.0271
77	auto_industri	8		✗	0	0	0.973
78	manufactur_job	10		✓	0.000398	0	0.0338
78	manufactur_job	10		✗	0	0	0.966
79	tax_break	46		✓	0.000199	0	0.153
79	tax_break	46		✗	0	0	0.847
80	job_oversea	5		✓	0	0	0.0167
80	job_oversea	5		✗	0	0	0.983
81	tax_break	5		✓	0.000597	0	0.0185
81	tax_break	5		✗	0	0	0.981
82	unit_state	9		✓	0.0271	0	0.0306
82	unit_state	9		✗	0.000597	0	0.942
83	american_worker	10		✓	0.00876	0.000199	0.0392
83	american_worker	10		✗	0.0233	0	0.929
84	bin_laden	97		✓	0.647	0	0.11
84	bin_laden	97		✗	0.0185	0	0.224
85	put_peopl	91		✓	0.488	0	0.047
85	put_peopl	91		✗	0.408	0	0.0573
86	unit_state	73		✓	0.35	0	0.0189
86	unit_state	73		✗	0.615	0	0.0169
87	__NUM___million	57		✓	0.272	0.000199	0.00856
87	__NUM___million	57		✗	0.714	0	0.00537
88	commun_colleg	8		✓	0.0541	0	0
88	commun_colleg	8		✗	0.946	0	0
89	local_busi	6		✓	0.0287	0	0
89	local_busi	6		✗	0.971	0	0
90	__NUM___centuri	25		✓	0.11	0	0
90	__NUM___centuri	25		✗	0.89	0	0
91	higher_educ	2		✓	0.0125	0	0
91	higher_educ	2		✗	0.987	0	0
92	hous_market	38		✓	0.2	0	0.000398
92	hous_market	38		✗	0.8	0	0
93	save___MONEY__	41		✓	0.00836	0	0
93	save___MONEY__	41		✗	0.992	0	0
94	health_care	35		✓	0.00677	0	0.000398
94	health_care	35		✗	0.993	0	0
95	suprem_court	11		✓	0.00816	0	0
95	suprem_court	11		✗	0.992	0	0
96	move_forward	5		✓	0.0179	0	0.000597
96	move_forward	5		✗	0.981	0	0
97	work_hard	9		✓	0.0275	0	0.000398
97	work_hard	9		✗	0.972	0	0.000199
98	health_insur	28		✓	0.00657	0	0.000597
98	health_insur	28		✗	0.993	0	0.000199
99	insur_compani	15		✓	0.00219	0	0
99	insur_compani	15		✗	0.998	0	0
100	fine_print	10		✓	0.000796	0	0
100	fine_print	10		✗	0.999	0	0
101	young_peopl	9		✓	0.00716	0	0
101	young_peopl	9		✗	0.993	0	0
102	__NUM___year	8		✓	0.00478	0	0.00159
102	__NUM___year	8		✗	0.994	0	0
103	prescript_drug	9		✓	0.00159	0	0.00119
103	prescript_drug	9		✗	0.996	0	0.000995
104	__NUM___year	19		✓	0.3	0	0.101
104	__NUM___year	19		✗	0.597	0	0.00219
105	move_forward	4		✓	0.041	0	0.00856
105	move_forward	4		✗	0.855	0	0.0953
106	health_care	69		✓	0.394	0.000398	0.0639
106	health_care	69		✗	0.504	0	0.0376
107	move_forward	7		✓	0.117	0	0.0283
107	move_forward	7		✗	0.765	0	0.0898
108	job_back	11		✓	0.14	0	0.0476
108	job_back	11		✗	0.706	0	0.105
109	health_care	5		✓	0.0549	0	0.00318
109	health_care	5		✗	0.825	0	0.117
110	middl_class	32		✓	0.279	0	0.00378
110	middl_class	32		✗	0.708	0	0.00836
111	class_life	0		✓	0.0113	0	0
111	class_life	0		✗	0.983	0	0.00537
112	work_hard	18		✓	0.079	0	0.0299
112	work_hard	18		✗	0.886	0	0.00478
113	solv_problem	60		✓	0.0492	0.000199	0.782
113	solv_problem	60		✗	0.141	0	0.0279
114	__NUM___month	39		✓	0.158	0	0.131
114	__NUM___month	39		✗	0.112	0	0.599
115	same_thing	23		✓	0.0346	0	0.124
115	same_thing	23		✗	0.182	0	0.659
116	creat_job	70		✓	0.0736	0.000995	0.279
116	creat_job	70		✗	0.0786	0	0.568
117	middl_class	18		✓	0.109	0.000199	0.0525
117	middl_class	18		✗	0.133	0.000597	0.704
118	american_peopl	53		✓	0.605	0	0.0396
118	american_peopl	53		✗	0.183	0.000199	0.172
119	american_famili	132		✓	0.597	0.00179	0.00915
119	american_famili	132		✗	0.39	0.000199	0.00179
120	middl_class	5		✓	0.0281	0	0.00378
120	middl_class	5		✗	0.96	0.00119	0.00736
121	bank_account	9		✓	0.0486	0	0.000398
121	bank_account	9		✗	0.95	0.000199	0.000597
122	neg_ad	85		✓	0.344	0	0
122	neg_ad	85		✗	0.656	0	0
123	singl_dai	99		✓	0.393	0	0.0109
123	singl_dai	99		✗	0.596	0	0
124	phone_call	110		✓	0.439	0	0
124	phone_call	110		✗	0.561	0	0
125	unit_state	54		✓	0.223	0	0.00259
125	unit_state	54		✗	0.775	0	0
126	god_bless	9		✓	0.0464	0	0
126	god_bless	9		✗	0.954	0	0
127	unit_state	5		✓	0.0277	0	0.00716
127	unit_state	5		✗	0.965	0	0
	__END_OF_SPEECH__	3

Barack Obama

Cue-lag representation