TextAnalysisR
provides a supporting workflow 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")
Access the web app at https://www.textanalysisr.org.
Launch and browser the TextAnalysisR.app on the local computer:
library(TextAnalysisR)
TextAnalysisR.app()
Shin, M. (2024). TextAnalysisR: Text mining workflow tools (R package version 0.0.2) [Computer software]. https://mshin77.github.io/TextAnalysisR
Shin, M. (2024). TextAnalysisR: Text mining workflow tools [Web application]. https://www.textanalysisr.org
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