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RLetters: A Web-Based Application for Text Analysis of Journal Articles
1Department of Philosophy and Religious Studies, Louisiana State University, Baton Rouge, Louisiana, United States of America.
Plos One
|January 6, 2016
Summary
RLetters offers a free, open-source web application for textual analysis of journal literature. This tool empowers researchers to easily explore word frequency, collocations, and term networks without prior expertise.
Area of Science:
- Computational Linguistics
- Bibliometrics
- Digital Humanities
Background:
- Textual analysis of scientific literature is growing.
- Existing software for this task is often not user-friendly.
- Researchers need accessible tools for analyzing large text datasets.
Purpose of the Study:
- To introduce RLetters, a novel web application for textual analysis.
- To provide researchers with an easy-to-use platform for analyzing journal articles.
- To enable advanced textual analysis without requiring programming expertise.
Main Methods:
- RLetters is a free, open-source web application.
- It is implemented using the Ruby programming language.
- Provides automated deployment scripts.
Main Results:
- Enables selection of article sets for analysis.
- Offers cutting-edge textual analysis tools.
- Supports analysis of word frequency, collocations, cooccurrences, and term networks.
Conclusions:
- RLetters democratizes textual analysis for researchers.
- The application lowers the barrier to entry for computational text analysis.
- Facilitates deeper insights from scientific literature through accessible tools.
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