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A Comparative Analysis of TF-IDF, LSI and LDA in Semantic Information Retrieval Approach for Paper-Reviewer Assignment
Author(s) -
Ayodele Ariyo Adebiyi,
Olawole Moses Ogunleye,
Marion O. Adebiyi,
J. O. Okesola
Publication year - 2019
Publication title -
journal of engineering and applied sciences/journal of engineering and applied sciences
Language(s) - English
Resource type - Journals
eISSN - 1818-7803
pISSN - 1816-949X
DOI - 10.36478/jeasci.2019.3378.3382
Subject(s) - latent dirichlet allocation , tf–idf , computer science , semantics (computer science) , margin (machine learning) , probabilistic latent semantic analysis , task (project management) , search engine indexing , information retrieval , semantic analysis (machine learning) , topic model , representation (politics) , artificial intelligence , natural language processing , term (time) , machine learning , physics , quantum mechanics , management , politics , political science , law , economics , programming language

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