Computer-Assisted Text Analysis for Comparative Politics
Author
Lucas, Christopher
Nielsen, Richard A.
Roberts, Margaret E.
Stewart, Brandon M.
Storer, Alex
Published Version
https://doi.org/10.1093/pan/mpu019Metadata
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Lucas, Christopher, Richard A. Nielsen, Margaret E. Roberts, Brandon M. Stewart, Alex Storer, and Dustin Tingley. 2015. “Computer-Assisted Text Analysis for Comparative Politics.” Political Analysis 23 (2): 254–77. https://doi.org/10.1093/pan/mpu019.Abstract
Recent advances in research tools for the systematic analysis of textual data are enabling exciting new research throughout the social sciences. For comparative politics, scholars who are often interested in non-English and possibly multilingual textual datasets, these advances may be difficult to access. This article discusses practical issues that arise in the processing, management, translation, and analysis of textual data with a particular focus on how procedures differ across languages. These procedures are combined in two applied examples of automated text analysis using the recently introduced Structural Topic Model. We also show how the model can be used to analyze data that have been translated into a single language via machine translation tools. All the methods we describe here are implemented in open-source software packages available from the authors.Other Sources
http://scholar.princeton.edu/sites/default/files/bstewart/files/comparativepoliticstext.pdfTerms of Use
This article is made available under the terms and conditions applicable to Other Posted Material, as set forth at http://nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of-use#LAACitable link to this page
http://nrs.harvard.edu/urn-3:HUL.InstRepos:38057808
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