Performance evaluation of hybrid feature selection technique for sentiment classification based on food reviews

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Performance evaluation of hybrid feature selection technique for sentiment classification based on food reviews

This paper presents an evaluation of the performance efficiency of sentiment classification using a hybrid feature selection technique. This technique is able to overcome the issue of lack in evaluating features importance by using a combination of TF-IDF+SVM-RFE (Term Frequency-Inverse Document Fre...

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Bibliographic Details
Main Authors:	Suryanti, Awang, Nur Syafiqah, Mohd Nafis
Format:	Conference or Workshop Item
Language:	English English
Published:	IEEE 2021
Subjects:	Q Science (General) QA76 Computer software
Online Access:	http://umpir.ump.edu.my/id/eprint/33473/ http://umpir.ump.edu.my/id/eprint/33473/1/Performance%20evaluation%20of%20hybrid%20feature%20selection%20technique_FULL.pdf http://umpir.ump.edu.my/id/eprint/33473/2/Performance%20evaluation%20of%20hybrid%20feature%20selection%20technique.pdf

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