Open AccessTopic Modeling Coherence: A Comparative Study between LDA and NMF Models using COVID’19 Corpus
Author(s) -
Sara Mifrah,
El Habib Benlahmar
Publication year - 2020
Publication title -
international journal of advanced trends in computer science and engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3091
DOI - 10.30534/ijatcse/2020/231942020
Subject(s) - latent dirichlet allocation , topic model , computer science , non negative matrix factorization , artificial intelligence , coherence (philosophical gambling strategy) , natural language processing , set (abstract data type) , text corpus , data set , statistical model , matrix decomposition , machine learning , mathematics , statistics , eigenvalues and eigenvectors , physics , quantum mechanics , programming language