Text Analysis in R. Issue 4 (2nd October 2017)

• Record Type: Journal Article
• Authors: Welbers, Kasper; Van Atteveldt, Wouter; Benoit, Kenneth
• Is Part Of: Communication methods and measures. Volume 11:Issue 4(2017)
• Page Start: 245
• Page End: 265
• Publication Date: 2017-10-02
• Subjects: Communication -- Methodology -- Periodicals; Communication -- Research -- Periodicals; Communication -- Study and teaching -- Periodicals; 302.2072
• DOI: 10.1080/19312458.2017.1387238
• Languages: English
• ISSNs: 1931-2458

Abstract

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.