Paper: Measuring Ideological Proportions in Political Speeches

ACL ID D13-1010
Title Measuring Ideological Proportions in Political Speeches
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2013
Authors

We seek to measure political candidates? ideo- logical positioning from their speeches. To ac- complish this, we infer ideological cues from a corpus of political writings annotated with known ideologies. We then represent the speeches of U.S. Presidential candidates as se- quences of cues and lags (filler distinguished only by its length in words). We apply a domain-informed Bayesian HMM to infer the proportions of ideologies each candidate uses in each campaign. The results are validated against a set of preregistered, domain expert- authored hypotheses.