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LDAShiny
View on CRAN: Click
here
Download and install LDAShiny package within the R console
Install from CRAN:
install.packages("LDAShiny")
Install from Github:
library("remotes")
install_github("cran/LDAShiny")
Install by package version:
library("remotes")
install_version("LDAShiny", "0.9.3")
Attach the package and use:
library("LDAShiny")
Maintained by
Javier De La Hoz Maestre
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-02-05
Latest Update: 2021-03-29
Description:
Contains the development of a tool that provides a
web-based graphical user interface (GUI) to perform a review of the
scientific literature under the Bayesian approach of Latent Dirichlet
Allocation (LDA)and machine learning algorithms. The application
methodology is framed by the well known procedures in topic modelling
on how to clean and process data. Contains methods described by
Blei, David M., Andrew Y. Ng, and Michael I. Jordan (2003)
Allocation"; Thomas L. Griffiths and Mark Steyvers (2004)
; Xiong Hui, et al (2019)
.
How to cite:
Javier De La Hoz Maestre (2021). LDAShiny: User-Friendly Interface for Review of Scientific Literature. R package version 0.9.3, https://cran.r-project.org/web/packages/LDAShiny. Accessed 28 Jan. 2025.
Previous versions and publish date:
0.9.2 (2021-02-05 09:40)
Other packages that cited LDAShiny R package
View LDAShiny citation profile
Other R packages that LDAShiny depends,
imports, suggests or enhances
Complete documentation for LDAShiny
Functions, R codes and Examples using
the LDAShiny R package
Some associated functions: crude . removeSparseTerms . runLDAShiny .
Some associated R codes: crude.R . removeSparseTerms.R . runLDAShiny.R . Full LDAShiny package functions and examples
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