Abstract

This is a three-part project concerning methods for the study of political semantics ---how the “meaning” of political concepts is represented and organized in memory and implications for political attitudes and behavior. The first chapter proposes a framework for the estimation of group differences in memory representations of political concepts and applies it to evaluate partisan representational differences in the U.S. The second chapter proposes a memory-centered approach to the study of ideology along with the requisite methods for its implementation. The third chapter centers on word embeddings, a deep learning method to estimate word representations from large collections of text. Along with a conceptual overview, it provides practitioners with a series of tests to perform model comparison and validation, including a novel Turing-style test.

Details

Title
Political Semantics: Methods and Applications in the Study of Meaning for Political Science
Author
Rodriguez Sosa, Pedro L.
Publication year
2019
Publisher
ProQuest Dissertations & Theses
ISBN
9781085675178
Source type
Dissertation or Thesis
Language of publication
English
ProQuest document ID
2288064915
Copyright
Database copyright ProQuest LLC; ProQuest does not claim copyright in the individual underlying works.