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LDABiplots: Biplot Graphical Interface for LDA Models

Contains the development of a tool that provides a web-based graphical user interface (GUI) to perform Biplots representations from a scraping of news from digital newspapers under the Bayesian approach of Latent Dirichlet Assignment (LDA) and machine learning algorithms. Contains LDA methods described by Blei , David M., Andrew Y. Ng and Michael I. Jordan (2003) <https://jmlr.org/papers/volume3/blei03a/blei03a.pdf>, and Biplot methods described by Gabriel K.R(1971) <doi:10.1093/biomet/58.3.453> and Galindo-Villardon P(1986) <https://diarium.usal.es/pgalindo/files/2012/07/Questiio.pdf>.

Version: 0.1.2
Imports: shiny, shinyBS, shinydashboard, shinyWidgets, shinyalert, shinybusy, shinyjs, shinycssloaders, dplyr, ggplot2, rvest, DT, highcharter, tidyr, SnowballC, ldatuning, topicmodels, textmineR, chinese.misc, stringr, htmlwidgets, ggrepel, textplot, glasso, qgraph, Matrix, utils, factoextra, quanteda
Suggests: rmarkdown, knitr, beepr, readxl
Published: 2022-07-18
Author: Luis Pilacuan-Bonete ORCID iD [cre, aut], Purificacion Galindo-Villardón ORCID iD [aut], Javier De La Hoz Maestre ORCID iD [aut], Francisco Javier Delgado-Álvarez ORCID iD [aut]
Maintainer: Luis Pilacuan-Bonete <luis.pilacuanb at ug.edu.ec>
License: GPL-3
NeedsCompilation: no
Materials: README
CRAN checks: LDABiplots results

Documentation:

Reference manual: LDABiplots.pdf
Vignettes: Tutorial_LDABiplots_English
Tutorial_LDABiplots_Spanish

Downloads:

Package source: LDABiplots_0.1.2.tar.gz
Windows binaries: r-devel: LDABiplots_0.1.2.zip, r-release: LDABiplots_0.1.2.zip, r-oldrel: LDABiplots_0.1.2.zip
macOS binaries: r-release (arm64): LDABiplots_0.1.2.tgz, r-oldrel (arm64): LDABiplots_0.1.2.tgz, r-release (x86_64): LDABiplots_0.1.2.tgz, r-oldrel (x86_64): LDABiplots_0.1.2.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=LDABiplots to link to this page.

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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