A survey on text classification and its applications

Zhou, Xujuan and Gururajan, Raj and Li, Yuefeng and Venkataraman, Revathi and Tao, Xiaohui ORCID: https://orcid.org/0000-0002-0020-077X and Bargshady, Ghazala ORCID: https://orcid.org/0000-0002-2557-7928 and Barua, Prabal D. and Kondalsamy-Chennakesavan, Srinivas (2020) A survey on text classification and its applications. Web Intelligence, 18 (2). pp. 205-216. ISSN 2405-6456


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.


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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Faculty/School / Institute/Centre: Current - Faculty of Business, Education, Law and Arts - School of Management and Enterprise (1 July 2013 -)
Faculty/School / Institute/Centre: Current - Faculty of Business, Education, Law and Arts - School of Management and Enterprise (1 July 2013 -)
Date Deposited: 10 Sep 2020 02:15
Last Modified: 26 Oct 2020 04:54
Uncontrolled Keywords: Text classification, text mining, feature selection, machine learning
Fields of Research (2008): 08 Information and Computing Sciences > 0801 Artificial Intelligence and Image Processing > 080109 Pattern Recognition and Data Mining
Socio-Economic Objectives (2008): E Expanding Knowledge > 97 Expanding Knowledge > 970108 Expanding Knowledge in the Information and Computing Sciences
Identification Number or DOI: https://doi.org/10.3233/WEB-200442
URI: http://eprints.usq.edu.au/id/eprint/39431

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