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.
popular environments for computational methods and the emerging field of “data science”1 is the R statistical software (R Core Team, 2017). However, for researchers that are not well-versed in programming, learning how to use R can be a challenge, and performing text analysis in particular can seem daunting.
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