textAnnotatoR: An Interactive Text Annotation Tool with ‘shiny’ GUI

textAnnotatoR is an interactive text annotation tool implemented in R using the Shiny framework.It provides researchers with a user-friendly graphical interface for qualitative text analysis that combines systematic coding, annotation, and analysis of textual data.The tool addresses the need for accessible, open-source solutions in qualitative research, particularly for researchers conducting interview analysis, focus group studies, literature reviews, and content analysis who require seamless integration with R's statistical and visualization capabilities.The package facilitates the entire workflow of qualitative text analysis, from importing text documents to generating analytical insights through an intuitive interface that maintains the rigor required for qualitative research. Statement of needQualitative text analysis is fundamental to research in social sciences, humanities, education, and other fields requiring in-depth understanding of textual data.Researchers typically face a choice between expensive commercial software and limited open-source alternatives, each with significant trade-offs.

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Publication Details

Journal
The Journal of Open Source Software
Published
2025-09-19
DOI
https://doi.org/10.21105/joss.07971
Primary Topic
Natural Language Processing Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

textAnnotatoR: An Interactive Text Annotation Tool with ‘shiny’ GUI

Chao Liu
The Journal of Open Source Software
Natural Language Processing Techniques
article

textAnnotatoR: An Interactive Text Annotation Tool with ‘shiny’ GUI

Chao Liu
article en

Abstract

textAnnotatoR is an interactive text annotation tool implemented in R using the Shiny framework.It provides researchers with a user-friendly graphical interface for qualitative text analysis that combines systematic coding, annotation, and analysis of textual data.The tool addresses the need for accessible, open-source solutions in qualitative research, particularly for researchers conducting interview analysis, focus group studies, literature reviews, and content analysis who require seamless integration with R's statistical and visualization capabilities.The package facilitates the entire workflow of qualitative text analysis, from importing text documents to generating analytical insights through an intuitive interface that maintains the rigor required for qualitative research. Statement of needQualitative text analysis is fundamental to research in social sciences, humanities, education, and other fields requiring in-depth understanding of textual data.Researchers typically face a choice between expensive commercial software and limited open-source alternatives, each with significant trade-offs.

The Journal of Open Source SoftwareVol. 10(113)
Cedarville University (US)
Openalex Percentile: Top 87%
Natural Language Processing Techniques
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