A Review on Automatic Text Summarization Approaches | Science Publications

Journal of Computer Science

Puspalata C Suppiah¹  Ong Sing Goh¹  Ngo Hea Choon¹  Yogan Jaya Kumar¹  Halizah Basiron¹ 

关键词: Automatic Text Summarization;    Extractive Summarization;    Domain Specific Summarization;    Multi Document Summarization;   

DOI  :  10.3844/jcssp.2016.178.190

学科分类：计算机科学（综合）

来源: Science Publications

【 摘 要 】

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.

【 授权许可】

Unknown