Year: 2025
Type: article
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.
DOI: 10.21105/joss.07971
Author: Chao Liu
Institution: Cedarville University
Language: English
Subfield: General Social Sciences
Field: Social Sciences
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W4414345653