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LDAShiny (version 0.9.2)

User-Friendly Interface for Review of Scientific Literature

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) .

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Version

Install

install.packages('LDAShiny')

Monthly Downloads

253

Version

0.9.2

License

GPL-3

Maintainer

Javier De La Hoz Maestre

Last Published

February 5th, 2021

Functions in LDAShiny (0.9.2)

removeSparseTerms

removeSparseTerms Remove Sparse Terms from a Term-Document Matrix function original pakage tm
crude

20 Exemplary News Articles from the Reuters-21578 Data Set of Topic crude
runLDAShiny

Shiny UI for LDAShiny package