A survey on text classification and its applications
Article
Article Title | A survey on text classification and its applications |
---|---|
ERA Journal ID | 32174 |
Article Category | Article |
Authors | Zhou, Xujuan (Author), Gururajan, Raj (Author), Li, Yuefeng (Author), Venkataraman, Revathi (Author), Tao, Xiaohui (Author), Bargshady, Ghazala (Author), Barua, Prabal D. (Author) and Kondalsamy-Chennakesavan, Srinivas (Author) |
Journal Title | Web Intelligence |
Journal Citation | 18 (2), pp. 205-216 |
Number of Pages | 12 |
Year | 2020 |
Publisher | IOS Press |
Place of Publication | Netherlands |
ISSN | 1570-1263 |
1875-9289 | |
2405-6456 | |
2405-6464 | |
Digital Object Identifier (DOI) | https://doi.org/10.3233/WEB-200442 |
Web Address (URL) | https://content.iospress.com/articles/web-intelligence/web200442 |
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. |
Keywords | Text classification, text mining, feature selection, machine learning |
ANZSRC Field of Research 2020 | 469999. Other information and computing sciences not elsewhere classified |
Institution of Origin | University of Southern Queensland |
Byline Affiliations | School of Management and Enterprise |
Queensland University of Technology | |
SRM Institute of Science and Technology, India | |
Faculty of Health, Engineering and Sciences | |
University of Queensland |
https://research.usq.edu.au/item/q5x72/a-survey-on-text-classification-and-its-applications
340
total views12
total downloads11
views this month0
downloads this month