A Novel Text Classification Technique Using Improved Particle Swarm Optimization: A Case Study of Arabic Language

We propose a novel text classification model, which aims to improve the performance of Arabic text classification using machine learning techniques. One of the effective solutions in Arabic text classification is to find the suitable feature selection method with an optimal number of features alongs...

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Bibliographic Details
Published in:	Future internet Vol. 14; no. 7; p. 194
Main Authors:	Alhaj, Yousif A., Dahou, Abdelghani, Al-qaness, Mohammed A. A., Abualigah, Laith, Abbasi, Aaqif Afzaal, Almaweri, Nasser Ahmed Obad, Elaziz, Mohamed Abd, Damaševičius, Robertas
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 01.07.2022
Subjects:	Algorithms Arabic language Classification Classifiers Configurations Datasets Documents Feature extraction Feature selection Internet Literature reviews Machine learning Methods Optimization techniques Particle swarm optimization Performance enhancement Performance evaluation Support vector machines Text categorization text classification
ISSN:	1999-5903, 1999-5903
Online Access:	Get full text
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