TextAnalysisR provides a supporting workflow for text mining analysis. The web app incorporates quanteda (text preprocessing), stm (structural topic modeling), and ggraph as well as widyr (network analysis). tidytext was implemented to tidy non-tidy format objects.

Installation:

The development version from GitHub with:

install.packages("devtools")
devtools::install_github("mshin77/TextAnalysisR")

Run the Shiny App:

Access the web app at https://www.textanalysisr.org.

Launch and browser the TextAnalysisR.app on the local computer:

library(TextAnalysisR)
TextAnalysisR.app()

Citation:

• Shin, M. (2023). TextAnalysisR: Text mining workflow tools (R package version 0.0.1) [Computer software]. https://mshin77.github.io/TextAnalysisR

• Shin, M. (2023). TextAnalysisR: Analyze text data [Web application]. https://www.textanalysisr.org

Reference:

• Shin, M., Ok, M. W., Choo, S., Hossain, G., Bryant, D. P., & Kang, E. (2023). A content analysis of research on technology use for teaching mathematics to students with disabilities: word networks and topic modeling. International Journal of STEM Education, 10(1), 1-23. https://doi.org/10.1186/s40594-023-00414-x