Review Article Open Access

A Review on Automatic Text Summarization Approaches

Yogan Jaya Kumar1, Ong Sing Goh1, Halizah Basiron1, Ngo Hea Choon1 and Puspalata C Suppiah2
  • 1 Universiti Teknikal Malaysia Melaka, Malaysia
  • 2 Universiti Teknologi MARA (UiTM), Malaysia
Journal of Computer Science
Volume 12 No. 4, 2016, 178-190

DOI: https://doi.org/10.3844/jcssp.2016.178.190

Submitted On: 1 February 2016 Published On: 30 April 2016

How to Cite: Kumar, Y. J., Goh, O. S., Basiron, H., Choon, N. H. & Suppiah, P. C. (2016). A Review on Automatic Text Summarization Approaches. Journal of Computer Science, 12(4), 178-190. https://doi.org/10.3844/jcssp.2016.178.190

Abstract

It has been more than 50 years since the initial investigation on automatic text summarization was started. Various techniques have been successfully used to extract the important contents from text document to represent document summary. In this study, we review some of the studies that have been conducted in this still-developing research area. It covers the basics of text summarization, the types of summarization, the methods that have been used and some areas in which text summarization has been applied. Furthermore, this paper also reviews the significant efforts which have been put in studies concerning sentence extraction, domain specific summarization and multi document summarization and provides the theoretical explanation and the fundamental concepts related to it. In addition, the advantages and limitations concerning the approaches commonly used for text summarization are also highlighted in this study.

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Keywords

  • Automatic Text Summarization
  • Extractive Summarization
  • Domain Specific Summarization
  • Multi Document Summarization