Political Analysis· 2015Q1
Computer-Assisted Text Analysis for Comparative Politics
- 488citations
- Q1SCImago
- 2015year
Short summary
This article introduces practical methods for analyzing textual data in comparative politics, focusing on cross-language challenges and demonstrating the Structural Topic Model (STM) with translated data.
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Key points
- Addresses practical issues in analyzing multilingual textual data for comparative politics.
- Demonstrates the Structural Topic Model (STM) for automated text analysis.
- Shows how STM can analyze data translated via machine translation tools.
- All described methods are implemented in open-source software.
AI-generated from the title and abstract; the full text is not read.
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.
The authors' abstract, as published at the source. Political Analysis, 2015 · DOI ↗
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Field: General Social Sciences
General Social SciencesSocial Sciences