Text Analysis in R |
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| Authors: | Kasper Welbers Wouter Van Atteveldt Kenneth Benoit |
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| Institution: | 1. Institute for Media Studies, University of Leuven, Leuven, Belgium;2. Department of Communcation Science, VU University Amsterdam, Amsterdam, The Netherlands;3. Department of Methodology, London School of Economics and Political Science, London, UK |
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| Abstract: | Computational text analysis has become an exciting research field with many applications in communication research. It can be a difficult method to apply, however, because it requires knowledge of various techniques, and the software required to perform most of these techniques is not readily available in common statistical software packages. In this teacher’s corner, we address these barriers by providing an overview of general steps and operations in a computational text analysis project, and demonstrate how each step can be performed using the R statistical software. As a popular open-source platform, R has an extensive user community that develops and maintains a wide range of text analysis packages. We show that these packages make it easy to perform advanced text analytics. |
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