Package: LDAShiny
Title: Interactive Topic Modeling and Bibliometric Analysis via Shiny
Version: 1.0.0
Authors@R: person("Javier", "De La Hoz-M",
    email = "jdelahoz@unimagdalena.edu.co",
    role  = c("aut", "cre"),
    comment = c(ORCID = "0000-0001-7779-0803"))
Description: Provides a 'Shiny' graphical interface for the complete
        workflow of Latent Dirichlet Allocation (LDA) topic modelling
        on bibliometric data from Scopus and Web of Science. Steps
        include data import and deduplication, text preprocessing
        (stopword removal, stemming, n-grams, sparse-term filtering),
        statistical inference to select the optimal number of topics
        via coherence, final model training, and topic trend analysis
        over time using linear regression. All results can be exported
        as Excel files, RDS objects, and publication-quality plots.
License: GPL-3
URL: https://github.com/JavierDeLaHoz/LDAShiny
Depends: R (>= 4.1.0)
Imports: colourpicker, config (>= 0.3.1), dplyr, DT, ggplot2, golem (>=
        0.4.0), Matrix, openxlsx, quanteda, RColorBrewer, readxl, shiny
        (>= 1.7.0), shinybusy, shinydashboard, shinyjs, shinyWidgets,
        slam, SnowballC, stopwords, textmineR, tibble, tidyr, tm,
        wordcloud, broom, parallel, stats, utils, grDevices
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), withr
Encoding: UTF-8
RoxygenNote: 7.3.3
Config/testthat/edition: 3
Language: en-US
VignetteBuilder: knitr
Config/pak/sysreqs: cmake make libicu-dev libuv1-dev libxml2-dev
        zlib1g-dev
Repository: https://javierdelahoz.r-universe.dev
Date/Publication: 2026-06-06 21:09:57 UTC
RemoteUrl: https://github.com/javierdelahoz/ldashiny
RemoteRef: HEAD
RemoteSha: 50df9a5874cbcfae32b6c37bc4ba49fcc2239bed
NeedsCompilation: no
Packaged: 2026-06-08 11:38:40 UTC; root
Author: Javier De La Hoz-M [aut, cre] (ORCID:
    <https://orcid.org/0000-0001-7779-0803>)
Maintainer: Javier De La Hoz-M <jdelahoz@unimagdalena.edu.co>