Arabic Text Classification: A Review Study on Feature Selection Methods-Reference-Cited by-同舟云学术

Arabic Text Classification: A Review Study on Feature Selection Methods

Published:2021-12-21 Issue: Volume: Page:
ISSN:
Container-title:2021 22nd International Arab Conference on Information Technology (ACIT)
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Author:

Hijazi Musab Mustafa¹,Zeki Akram²,Ismail Amelia³

Affiliation:

1. Al Ain University,College of Engineering,Department of Software Engineering and Computer Science,Al Ain,UAE

2. International Islamic University Malaysia,Kulliyyah of Information and Communication Technology,Department of Information Technology,Kuala Lumpur,Malaysia

3. International Islamic University Malaysia,Kulliyyah of Information and Communication Technology,Department of Computer Science,Kuala Lumpur,Malaysia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9677036/9677041/09677185.pdf?arnumber=9677185

Reference41 articles.

1. Firefly Algorithm based Feature Selection for Arabic Text Classification

2. Arabic Text Classification Using Hybrid Feature Selection Method Using Chi-Square Binary Artificial Bee Colony Algorithm;hijazi;International Journal of Computing Science and Mathematics,2021

3. Support vector machine text classifier for Arabic articles: Ant Colony optimization-based feature subset selection;mesleh;Arab Acad Bank Financ Sci,2008

4. Feature selection method using improved CHI Square on Arabic text classifiers: analysis and application

5. Feature selection using an improved Chi-square for Arabic text classification

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