A systematic review of emerging feature selection optimization methods for optimal text classification: the present state and prospective opportunities-Reference-Cited by-同舟云学术

A systematic review of emerging feature selection optimization methods for optimal text classification: the present state and prospective opportunities

Published:2021-08-13 Issue:22 Volume:33 Page:15091-15118
ISSN:0941-0643
Container-title:Neural Computing and Applications
language:en
Short-container-title:Neural Comput & Applic

Author:

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

Funder

ISC Cybersecurity Scholarship

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Link

https://link.springer.com/content/pdf/10.1007/s00521-021-06406-8.pdf

Reference158 articles.

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5. Zeimpekis D, Gallopoulos E (2006) TMG: A MATLAB toolbox for generating term-document matrices from text collections. In: Kogan J, Nicholas C, Teboulle M (eds) Grouping multidimensional data. Springer, Berlin, Heidelberg, pp 187–210

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