Improving Semantic Information Retrieval Using Multinomial Naive Bayes Classifier and Bayesian Networks

Improving Semantic Information Retrieval Using Multinomial Naive Bayes Classifier and Bayesian Networks

This research proposes a new approach to improve information retrieval systems based on a multinomial naive Bayes classifier (MNBC), Bayesian networks (BNs), and a multi-terminology which includes MeSH thesaurus (Medical Subject Headings) and SNOMED CT (Systematized Nomenclature of Medicine of Clini...

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Bibliographic Details
Main Authors: Wiem Chebil, Mohammad Wedyan, Moutaz Alazab, Ryan Alturki, Omar Elshaweesh
Format: Article
Language:English
Published: MDPI AG 2023-05-01
Series:Information
Subjects:
information retrieval
biomedical terminologies
multinomial naive Bayesian classifier
Bayesian networks
Online Access:https://www.mdpi.com/2078-2489/14/5/272

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https://www.mdpi.com/2078-2489/14/5/272

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