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Computer-Assisted Text Analysis for Comparative Politics

Lucas, Christopher, Nielsen, Richard A., Roberts, Margaret E., Stewart, Brandon M., Storer, Alex, Tingley, Dustin·2015·Political Analysis
DOI 10.1093/pan/mpu019
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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.

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Metadata

Authors
Lucas, C., Nielsen, R. A., Roberts, M. E., Stewart, B. M., Storer, A., & Tingley, D.
Venue
Political Analysis
Publisher
Cambridge University Press (CUP)
Published
2015
Volume
23
Issue
2
Pages
254-277
ISSN
  • 1047-1987
  • 1476-4989
DOI
10.1093/pan/mpu019
Cited by
366
References
14
Language
en
Licence
www.cambridge.org/core/terms (unspecified, 734 d)

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