Hybrid Feature Selection Framework for Sentiment Analysis on Large Corpora

Hybrid Feature Selection Framework for Sentiment Analysis on Large Corpora

Sentiment analysis has recently drawn considerable research attentions in the recent years owing to its applicability in determining users opinion, sentiment and emotions from large collections of textual data. The goal of sentiment analysis centered on improving users experience by deploying robust...

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Bibliographic Details
Main Authors: Kayode Sakariyau Adewole, Abdullateef Oluwagbemiga Balogun, Muiz Raheem, Muhammed K. Jimoh, Rasheed Gbenga Jimoh, Modinat Abolore Mabayoje, Fatima E. Usman-Hamza, Abimbola Ganiyat Akintola, Ayisat Wuraola Asaju-Gbolagade
Format: Article
Language:English
Published: Scientific Research Support Fund of Jordan (SRSF) and Princess Sumaya University for Technology (PSUT) 2021-06-01
Series:Jordanian Journal of Computers and Information Technology
Subjects:
sentiment analysis
opinion mining
hybrid feature selection
boruta
recursive feature elimination
Online Access:http://www.ejmanager.com/fulltextpdf.php?mno=40755

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http://www.ejmanager.com/fulltextpdf.php?mno=40755

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