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README.Rmd
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README.Rmd
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---
output: md_document
---
<!-- README.md is generated from README.Rmd. Please edit that file -->
```{r, include = FALSE}
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>",
fig.path = "man/figures/README-",
out.width = "100%"
)
```
<!-- badges: start -->
[![R-CMD-check](https://github.com/mshin77/TextAnalysisR/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/mshin77/TextAnalysisR/actions/workflows/R-CMD-check.yaml)
<!-- badges: end -->
`TextAnalysisR` provides a supporting workflow for text mining analysis. The web app incorporates [quanteda](https://github.com/quanteda/quanteda) (text preprocessing), [stm](https://github.com/bstewart/stm) (structural topic modeling), and [ggraph](https://github.com/thomasp85/ggraph) as well as [widyr](https://github.com/juliasilge/widyr) (network analysis). [tidytext](https://github.com/cran/tidytext) was implemented to tidy non-tidy format objects.
## Installation:
The development version from [GitHub](https://github.com/mshin77/TextAnalysisR) with:
```r
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:
```r
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