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# CITATION.cff file created with {cffr} R package
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cff-version: 1.2.0
message: 'To cite package "LDAShiny" in publications use:'
type: software
license: GPL-3.0-only
title: 'LDAShiny: Shiny Application for Topic Modeling of Scientific Literature'
version: 1.1.0
doi: 10.32614/CRAN.package.LDAShiny
abstract: 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) <https://doi.org/10.3390/math9141671>.
authors:
- family-names: De La Hoz-M
  given-names: Javier
  email: jdelahoz@unimagdalena.edu.co
  orcid: https://orcid.org/0000-0001-7779-0803
- family-names: Samper Meza
  given-names: Maria Camila
  orcid: https://orcid.org/0009-0005-9235-8732
- family-names: Bustamante Martínez
  given-names: Alexander Armando
  orcid: https://orcid.org/0000-0003-4422-018X
repository: https://cran.r-universe.dev
repository-code: https://github.com/jdelahoz-m/LDAShiny
commit: 89723b276438297e9c51adc0222245d9ba3d6f71
url: https://github.com/jdelahoz-m/LDAShiny
date-released: '2026-10-30'
contact:
- family-names: De La Hoz-M
  given-names: Javier
  email: jdelahoz@unimagdalena.edu.co
  orcid: https://orcid.org/0000-0001-7779-0803