An enhanced hybrid feature selection technique using term frequency-inverse document frequency and support vector machine-recursive feature elimination for sentiment classification

An enhanced hybrid feature selection technique using term frequency-inverse document frequency and support vector machine-recursive feature elimination for sentiment classification

Sentiment classification is increasingly used to automatically identify a positive or negative sentiment in a text review. In classification, feature selection had always been a critical and challenging problem. Most of the related feature selection for sentiment classification techniques unable to...

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Bibliographic Details
Main Authors: Nur Syafiqah, Mohd Nafis, Suryanti, Awang
Format: Article
Language:English
Published: IEEE 2021
Subjects:
T Technology (General)
Online Access:http://umpir.ump.edu.my/id/eprint/31646/
http://umpir.ump.edu.my/id/eprint/31646/2/An%20enhanced%20hybrid%20feature%20selection%20technique%20using%20term%20frequency-inverse%20document%20frequency%20and%20support%20vector%20machine-recursive%20feature%20elimination%20for%20sentiment%20classification.pdf

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