Transcription of Text Analysis in R - Ken Benoit
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COMMUNICATION METHODS AND MEASURES. 2017, VOL. 11, NO. 4, 245 265. Text Analysis in R. Kasper Welbersa, Wouter Van Atteveldtb, and Kenneth Benoit c a Institute for Media Studies, University of Leuven, Leuven, Belgium; bDepartment of Communcation Science, VU. University Amsterdam, Amsterdam, The Netherlands; cDepartment of Methodology, London School of Economics and Political Science, London, UK. 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 Downloaded by [ ] at 01:16 05 November 2017. 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.
6For a list that includes more packages, and that is also maintained over time, a good source is the CRAN Task View for Natural Language Processing (Wild, 2017). CRAN Task Views are expert curated and maintained lists of R packages on the Comprehensive R Archive Network, and are available for various major methodological topics.
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