TextAnalysisR
provides a supporting workflow tool for text mining
analysis. The web app incorporates
quanteda (text preprocessing),
stm (structural topic modeling),
ggraph, and
widyr (network analysis).
tidytext is implemented to tidy
non-tidy format objects. The R Shiny web app is available at
TextAnalysisR::TextAnalysisR.app()
or https://textanalysisr.org.
Functions are provided for completing word-topic probabilities,
document-topic probabilities, estimated effects of covariates on topic
prevalence, and network analysis, similar to tasks available in the web
app.
The development version from GitHub with:
install.packages("devtools")
devtools::install_github("mshin77/TextAnalysisR")
library(TextAnalysisR)
Access the web app at https://www.textanalysisr.org.
Launch and browser the TextAnalysisR.app on the local computer:
TextAnalysisR.app()
Shin, M. (2025). TextAnalysisR: A text mining workflow tool (R package version 0.0.2) [Computer software]. https://mshin77.github.io/TextAnalysisR
Shin, M. (2025). TextAnalysisR: A text mining workflow tool [Web application]. https://www.textanalysisr.org
Shin, M., Park, H., & Kang, E. (2024). Development of education policies and practices for students with learning disabilities in South Korea using Delphi surveys and topic modeling. Learning Disability Quarterly. GitHub
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. GitHub
Dimensions of the plot
Dimensions of the plot
Dimensions of the plot
Dimensions of the plot