Text Classification Using Enhanced Binary Wind Driven Optimization Algorithm

Document classification using supervised machine learning is now widely used on the internet and in digital libraries. Several studies have focused on English-language document classification. However, Arabic text includes high variation in its morphology, which leads to high extracted features and...

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Veröffentlicht in:	International journal of advanced computer science & applications Jg. 16; H. 6
Hauptverfasser:	Atwan, Jaffar, Wedyan, Mohammad, Hamadeen, Ahmad, Bsoul, Qusay, Alrosan, Ayat, Alturki, Ryan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	West Yorkshire Science and Information (SAI) Organization Limited 2025
Schlagworte:	Classification Computer science Decision trees Documents Feature extraction Feature selection Heuristic methods Information technology Machine learning Methods Optimization Optimization algorithms Simulated annealing Supervised learning Text categorization
ISSN:	2158-107X, 2156-5570
Online-Zugang:	Volltext
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