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A survey on text classification and its applications.

Authors :
Zhou, Xujuan
Gururajan, Raj
Li, Yuefeng
Venkataraman, Revathi
Tao, Xiaohui
Bargshady, Ghazal
Barua, Prabal D.
Kondalsamy-Chennakesavan, Srinivas
Source :
Web Intelligence (2405-6456). 2020, Vol. 18 Issue 3, p205-216. 12p.
Publication Year :
2020

Abstract

Text classification (a.k.a text categorisation) is an effective and efficient technology for information organisation and management. With the explosion of information resources on the Web and corporate intranets continues to increase, it has being become more and more important and has attracted wide attention from many different research fields. In the literature, many feature selection methods and classification algorithms have been proposed. It also has important applications in the real world. However, the dramatic increase in the availability of massive text data from various sources is creating a number of issues and challenges for text classification such as scalability issues. The purpose of this report is to give an overview of existing text classification technologies for building more reliable text classification applications, to propose a research direction for addressing the challenging problems in text mining. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
24056456
Volume :
18
Issue :
3
Database :
Academic Search Index
Journal :
Web Intelligence (2405-6456)
Publication Type :
Academic Journal
Accession number :
146221918
Full Text :
https://doi.org/10.3233/WEB-200442