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Text analysis in R

Welbers, Kasper, Van Atteveldt, Wouter and Benoit, Kenneth ORCID: 0000-0002-0797-564X (2017) Text analysis in R. Communication Methods and Measures, 11 (4). pp. 245-265. ISSN 1931-2458

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Identification Number: 10.1080/19312458.2017.1387238


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.

Item Type: Article
Official URL:
Additional Information: © 2017 Taylor & Francis Group, LLC
Divisions: Methodology
Subjects: H Social Sciences > H Social Sciences (General)
Q Science > QA Mathematics > QA76 Computer software
Date Deposited: 07 Feb 2018 11:50
Last Modified: 24 Jul 2024 23:54

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