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      Topic models meet discourse analysis: a quantitative tool for a qualitative approach

      1 , 2
      International Journal of Social Research Methodology
      Informa UK Limited

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          Text as Data: The Promise and Pitfalls of Automatic Content Analysis Methods for Political Texts

          Politics and political conflict often occur in the written and spoken word. Scholars have long recognized this, but the massive costs of analyzing even moderately sized collections of texts have hindered their use in political science research. Here lies the promise of automated text analysis: it substantially reduces the costs of analyzing large collections of text. We provide a guide to this exciting new area of research and show how, in many instances, the methods have already obtained part of their promise. But there are pitfalls to using automated methods—they are no substitute for careful thought and close reading and require extensive and problem-specific validation. We survey a wide range of new methods, provide guidance on how to validate the output of the models, and clarify misconceptions and errors in the literature. To conclude, we argue that for automated text methods to become a standard tool for political scientists, methodologists must contribute new methods and new methods of validation.
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            Discourse

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              10.1162/jmlr.2003.3.4-5.993

              (2000)
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                Author and article information

                Journal
                International Journal of Social Research Methodology
                International Journal of Social Research Methodology
                Informa UK Limited
                1364-5579
                1464-5300
                February 07 2019
                September 03 2019
                February 07 2019
                September 03 2019
                : 22
                : 5
                : 469-485
                Affiliations
                [1 ]Centre for EU Studies, Ghent University, Ghent, Belgium
                [2 ]Amsterdam School of Communication Research, University of Amsterdam, Amsterdam, The Netherlands
                Article
                10.1080/13645579.2019.1576317
                52da8fa4-c5b7-4bd9-8786-5ccbc1b0fe19
                © 2019
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