TextAnalysisR: A Text Mining Workflow Tool

Provides a text mining and natural language processing workflow for documents. Includes preprocessing via 'quanteda', lexical analysis (term frequency-inverse document frequency, log-odds ratios, lexical diversity) via 'tidytext', topic modeling via 'stm' and the 'BERTopic' approach, semantic similarity and document clustering on transformer representations, an interactive 'Shiny' interface with 'ggplot2' visualization, optional 'spaCy' preprocessing, and local 'sentence-transformers' or web-based ('OpenAI', 'Gemini') model providers for retrieval-augmented generation, as described in Shin et al. (2026) <doi:10.1177/07319487251412879>.

Version:	0.1.4
Depends:	R (≥ 4.0)
Imports:	dplyr, DT, ggplot2, htmltools, htmlwidgets, igraph, magrittr, Matrix, methods, quanteda, quanteda.textstats, RColorBrewer, rlang, scales, shiny, tibble, tidyr, tidytext, widyr, withr
Suggests:	aricode, tidylo, broom, patchwork, cluster, clusterCrit, colourpicker, covr, dbscan, digest, httr, jsonlite, knitr, markdown, MASS, moments, numform, officer, openxlsx, pdftools, progress, proxy, pscl, purrr, readxl, reticulate (≥ 1.28), rmarkdown, roxygen2, Rtsne, shinyBS, shinybusy, shinyjs, spelling, stm, stopwords, stringr, syuzhet, testthat (≥ 3.0.0), textdata, umap, plotly
Published:	2026-07-27
DOI:	10.32614/CRAN.package.TextAnalysisR
Author:	Mikyung Shin [aut, cre]
Maintainer:	Mikyung Shin <shin.mikyung at gmail.com>
BugReports:	https://github.com/mshin77/TextAnalysisR/issues
License:	GPL (≥ 3)
URL:	https://mshin77.github.io/TextAnalysisR/, https://github.com/mshin77/TextAnalysisR
NeedsCompilation:	no
SystemRequirements:	Python (>= 3.8) with spaCy (>= 3.5) for lemmatization and sentence-transformers (>= 2.2) for embeddings (optional)
Language:	en-US
Citation:	TextAnalysisR citation info
Materials:	README, NEWS
CRAN checks:	TextAnalysisR results

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