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Fightin Words: Lexical Feature Selection and Evaluation for Identifying the Content of Political Conflict.
- Source :
- Political Analysis; Oct2008, Vol. 16 Issue 4, p372-372, 1p
- Publication Year :
- 2008
-
Abstract
- Entries in the burgeoning âtext-as-dataâ movement are often accompanied by lists or visualizations of how word (or other lexical feature) usage differs across some pair or set of documents. These are intended either to establish some target semantic concept (like the content of partisan frames) to estimate word-specific measures that feed forward into another analysis (like locating parties in ideological space) or both. We discuss a variety of techniques for selecting words that capture partisan, or other, differences in political speech and for evaluating the relative importance of those words. We introduce and emphasize several new approaches based on Bayesian shrinkage and regularization. We illustrate the relative utility of these approaches with analyses of partisan, gender, and distributive speech in the U.S. Senate. [ABSTRACT FROM AUTHOR]
- Subjects :
- VOCABULARY
LEXICAL access
SEMANTICS
POLITICAL science
PSYCHOLINGUISTICS
Subjects
Details
- Language :
- English
- ISSN :
- 10471987
- Volume :
- 16
- Issue :
- 4
- Database :
- Complementary Index
- Journal :
- Political Analysis
- Publication Type :
- Academic Journal
- Accession number :
- 36651686
- Full Text :
- https://doi.org/10.1093/pan/mpn018