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LDAShiny: Shiny Application for Topic Modeling of Scientific Literature

A 'shiny' application that guides users through an exploratory review of scientific literature using Latent Dirichlet Allocation (LDA) topic modeling. It imports bibliometric records exported from databases such as 'Scopus' and 'Web of Science', performs text preprocessing, helps select the number of topics, fits the final model, and visualizes the results and the evolution of topics over time. The methodology is described in De la Hoz-M et al. (2021) <doi:10.3390/math9141671>.

Version: 1.1.0
Depends: R (≥ 4.1.0)
Imports: beepr, broom, colourpicker, config, dplyr, DT, ggplot2, ggrepel, golem, igraph, jsonlite, LDAvis, Matrix, openxlsx, quanteda, RColorBrewer, readxl, scales, shiny, shinybusy, shinydashboard, shinyjs, shinyWidgets, slam, SnowballC, stopwords, textmineR, tibble, tidyr, tm, utils, wordcloud
Suggests: knitr, plotly, purrr, readr, rmarkdown, shinyBS, testthat (≥ 3.0.0)
Published: 2026-10-30
DOI: 10.32614/CRAN.package.LDAShiny
Author: Javier De La Hoz-M ORCID iD [aut, cre], Maria Camila Samper Meza ORCID iD [aut], Alexander Armando Bustamante Martínez ORCID iD [aut]
Maintainer: Javier De La Hoz-M <jdelahoz at unimagdalena.edu.co>
BugReports: https://github.com/jdelahoz-m/LDAShiny/issues
License: GPL-3
URL: https://github.com/jdelahoz-m/LDAShiny
NeedsCompilation: no
Language: en-US
CRAN checks: LDAShiny results

Documentation:

Reference manual: LDAShiny.html , LDAShiny.pdf
Vignettes: Flujo de Trabajo Guiado para Análisis de Tópicos con LDAShiny (source, R code)
LDAShiny: a complete guided workflow for topic modeling (source, R code)

Downloads:

Package source: LDAShiny_1.1.0.tar.gz
Windows binaries: r-devel: LDAShiny_1.0.0.zip, r-release: LDAShiny_1.0.0.zip, r-oldrel: LDAShiny_1.1.0.zip
macOS binaries: r-release (arm64): LDAShiny_1.1.0.tgz, r-oldrel (arm64): LDAShiny_1.1.0.tgz, r-release (x86_64): LDAShiny_1.1.0.tgz, r-oldrel (x86_64): LDAShiny_1.1.0.tgz
Old sources: LDAShiny archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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