LDAShiny: 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) <doi:10.1073/pnas.0307752101> ; Xiong Hui, et al (2019) <doi:10.1016/j.cie.2019.06.010>.

Package details

AuthorJavier De La Hoz Maestre [cre, aut] (<https://orcid.org/0000-0001-7779-0803>), María José Fernández Gómez [aut] (<https://orcid.org/0000-0002-5530-6416>), Susana Mendez [aut] (<https://orcid.org/0000-0001-9681-3169>)
MaintainerJavier De La Hoz Maestre <jdelahozmaestre@gmail.com>
Package repositoryView on CRAN
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LDAShiny documentation built on March 29, 2021, 5:09 p.m.