A survey on text classification and its applications

Author:

Zhou Xujuan1,Gururajan Raj1,Li Yuefeng2,Venkataraman Revathi3,Tao Xiaohui4,Bargshady Ghazal1,Barua Prabal D.1,Kondalsamy-Chennakesavan Srinivas5

Affiliation:

1. School of Management & Enterprise, The University of Southern Queensland, QLD, Australia. E-mails: xujuan.zhou@usq.edu.au, Raj.Gururajan@usq.edu.au

2. Science and Engineering Faculty, Queensland University of Technology, QLD, Australia. E-mail: y2.li@qut.edu.au

3. Department of Computer Science and Engineering, SRM Institute of Science and Technology, India. E-mail: revathin@srmist.edu.in

4. Faculty of Health, Engineering and Sciences, The University of Southern Queensland, QLD, Australia. E-mail: x.tao@usq.edu.au

5. Rural Clinical School, The University of Queensland, QLD, Australia. E-mail: Ghazal.Bargshady@usq.edu.au

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.

Publisher

IOS Press

Subject

Artificial Intelligence,Computer Networks and Communications,Software

Cited by 9 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. IFM-RCNN: a hybrid text classifier with enhanced performance of binary drug classification from tweets using improved faster mask-recurrent convolutional neural network;Knowledge and Information Systems;2023-09-08

2. Ontology based Feature Selection and Weighting for Text classification using Machine Learning;Journal of Information Technology and Computing;2023-06-27

3. Short Text Classification of Chinese with Label Information Assisting;ACM Transactions on Asian and Low-Resource Language Information Processing;2023-03-25

4. Optimization of Classification Algorithm for Improving Semantic-Based Text Classification;Advances in Data Science and Computing Technologies;2023

5. A Study on Text Feature Selection Using Ant Colony and Grey Wolf Optimization;2022 Seventh International Conference on Informatics and Computing (ICIC);2022-12-08

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