Computer-Assisted Text Analysis for Comparative Politics
Computer-Assisted Text Analysis for Comparative Politics
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DOI：
10.1093/pan/mpu019
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发表时间：
2015-03-01
影响因子：
5.4
通讯作者：
Tingley, Dustin
中科院分区：
文献类型：
--
作者：
Lucas, Christopher;Nielsen, Richard A.;Tingley, Dustin
文本数据系统分析研究工具的最新进展使整个社会科学的新研究令人兴奋。对于比较政治学来说，那些经常对非英语和可能的多语言文本数据集感兴趣的学者，这些进步可能很难获得。本文讨论了在文本数据的处理、管理、翻译和分析中出现的实际问题，特别关注程序在不同语言之间的差异。这些程序结合在两个应用的例子，自动文本分析使用最近推出的结构主题模型。我们还展示了该模型如何用于分析通过机器翻译工具翻译成单一语言的数据。我们在这里描述的所有方法都是在作者提供的开源软件包中实现的。
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.