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

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
Main Authors: Yousif A. Alhaj, Abdelghani Dahou, Mohammed A. A. Al-qaness, Laith Abualigah, Aaqif Afzaal Abbasi, Nasser Ahmed Obad Almaweri, Mohamed Abd Elaziz, Robertas  Damaševičius
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Future Internet
Subjects:
text classification
feature selection
feature extraction
particle swarm optimization
Online Access:https://www.mdpi.com/1999-5903/14/7/194

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