Improved ICHI square feature selection method for Arabic classifiers

Volume: 9, Issue: 3, Pages: 157 - 157
Published: Dec 1, 2020
Abstract
<span>Feature selection problem is one of the main important problems in the text and data mining domain. </span><span>This paper presents a comparative study of feature selection methods for Arabic text classification. Five of the feature selection methods were selected: ICHI square, CHI square, Information Gain, Mutual Information and Wrapper. It was tested with five classification algorithms: Bayes Net, Naive Bayes, Random...
Paper Details
Title
Improved ICHI square feature selection method for Arabic classifiers
Published Date
Dec 1, 2020
Volume
9
Issue
3
Pages
157 - 157
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