Text analysis in R

Research output: Contribution to JournalArticleAcademicpeer-review


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.
Original languageEnglish
Pages (from-to)245-265
Number of pages21
JournalCommunication Methods and Measures
Issue number4
Publication statusPublished - 2 Nov 2017


  • Computational method
  • Content analysis
  • R
  • text analysis


Dive into the research topics of 'Text analysis in R'. Together they form a unique fingerprint.

Cite this