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

Copyright Owner and License

Publisher

Additional URL

https://doi.org/10.1080/19312458.2017.1387238

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