Publication Type
Journal Article
Version
publishedVersion
Publication Date
11-2017
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.
Discipline
Models and Methods | Numerical Analysis and Scientific Computing
Research Areas
Political Science
Publication
Communication Methods and Measures
Volume
11
Issue
4
First Page
245
Last Page
265
ISSN
1931-2458
Identifier
10.1080/19312458.2017.1387238
Publisher
Taylor and Francis Group
Citation
WELBERS, Kasper, van Atteveldt, Wouter, & BENOIT, Kenneth.(2017). Text analysis in R. Communication Methods and Measures, 11(4), 245-265.
Available at: https://ink.library.smu.edu.sg/soss_research/3978
Copyright Owner and License
Publisher
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1080/19312458.2017.1387238