A systematic review of emerging feature selection optimization methods for optimal text classification: the present state and prospective opportunities (Aug, 10.1007/s00521-021-06406-8, 2021)

Journal article

Open access

Peer reviewed

Esther Omolara Abiodun, Abdulatif Alabdulatif, Oludare Isaac Abiodun, Moatsum Alawida, Abdullah Alabdulatif and Rami S. Alkhawaldeh

Neural computing & applications, Vol.33(22), pp.15119-15119

01/11/2021

Abstract

Computer Science

Computer Science, Artificial Intelligence

Science & Technology

Technology

url

https://doi.org/10.1007/s00521-021-06561-yView

Published (Version of record) Open

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Title: A systematic review of emerging feature selection optimization methods for optimal text classification: the present state and prospective opportunities (Aug, 10.1007/s00521-021-06406-8, 2021)
Creators - without role: Esther Omolara Abiodun - Supreme Council Of Health
Abdulatif Alabdulatif - Qassim University
Oludare Isaac Abiodun - Supreme Council Of Health
Moatsum Alawida - Universiti Sains Malaysia
Abdullah Alabdulatif - Qassimi Univ, Dept Comp, Coll Sci & Arts Rass, Abu Dhabi, U Arab Emirates
Rami S. Alkhawaldeh - University of Jordan
Publication Details: Neural computing & applications, Vol.33(22), pp.15119-15119
Publisher: Springer Nature
Number of pages: 1
Identifiers: 9928089108331
Academic Unit: Qassim University
Language: English
Resource Type: Journal article