User-Friendly Interface for Review of Scientific Literature

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) < https://jmlr.org/papers/volume3/blei03a/blei03a.pdf> Allocation"; Thomas L. Griffiths and Mark Steyvers (2004) ; Xiong Hui, et al (2019) .


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Reference manual

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install.packages("LDAShiny")

0.9.2 by Javier De La Hoz Maestre, a month ago


Report a bug at https://github.com/JavierDeLaHoz/LDAShiny/issues


Browse source code at https://github.com/cran/LDAShiny


Authors: Javier De La Hoz Maestre [cre, aut] , María José Fernández Gómez [aut] , Susana Mendez [aut]


Documentation:   PDF Manual  


GPL-3 license


Imports beepr, broom, chinese.misc, dplyr, DT, highcharter, htmlwidgets, ldatuning, parallel, plotly, purrr, quanteda, shiny, shinyalert, shinyBS, shinycssloaders, shinydashboard, shinydashboardPlus, shinyjs, shinyWidgets, SnowballC, stringr, textmineR, tidyr, tidytext, tm, topicmodels

Suggests knitr, RColorBrewer, rmarkdown, Rmpfr, scales, magrittr


See at CRAN