Comparative Study of Arabic Text Categorization Using Feature Selection Techniques and Four Classifier Models-Reference-Cited by-同舟云学术

Comparative Study of Arabic Text Categorization Using Feature Selection Techniques and Four Classifier Models

Published:2020-09-23 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 13th International Conference on Intelligent Systems: Theories and Applications
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Author:

Bahassine Said¹,Madani Abdellah²,Kissi Mohamed³

Affiliation:

1. Laboratory LIMA, Department of Computer Science, Chouaib Doukkali University, El Jadida, Morocco

2. Laboratory LAROSER, Department of Computer Science, Chouaib Doukkali University, El Jadida, Morocco

3. Laboratory LIM, IT Department FST Mohammedia, Hassan II university, Casablanca, Morocco

Publisher

ACM

Reference27 articles.

1. Arabic text classification review;Ahmed M.;International Journal of Computer Science and Software Engineering,2015

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