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...

Celý popis

Podrobná bibliografia

Vydané v:	International journal of advanced computer science & applications Ročník 16; číslo 6
Hlavní autori:	Atwan, Jaffar, Wedyan, Mohammad, Hamadeen, Ahmad, Bsoul, Qusay, Alrosan, Ayat, Alturki, Ryan
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	West Yorkshire Science and Information (SAI) Organization Limited 2025
Predmet:	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
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!