A survey on text classification and its applications

Xujuan Zhou, Raj Gururajan, Yuefeng Li, Revathi Venkataraman, Xiaohui Tao, Ghazal Bargshady, Prabal D. Barua, Srinivas Kondalsamy-Chennakesavan

Research output: Contribution to journalShort Survey/Scientific Reportpeer-review

17 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)205-216
Number of pages12
JournalWeb Intelligence
Volume18
Issue number3
DOIs
Publication statusPublished - 2020
Externally publishedYes

Fingerprint

Dive into the research topics of 'A survey on text classification and its applications'. Together they form a unique fingerprint.

Cite this