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Literature Review on Extractive Text Summarization Approaches

by Saiyed Saziyabegum, Priti S. Sajja
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 156 - Number 12
Year of Publication: 2016
Authors: Saiyed Saziyabegum, Priti S. Sajja
10.5120/ijca2016912574

Saiyed Saziyabegum, Priti S. Sajja . Literature Review on Extractive Text Summarization Approaches. International Journal of Computer Applications. 156, 12 ( Dec 2016), 28-36. DOI=10.5120/ijca2016912574

@article{ 10.5120/ijca2016912574,
author = { Saiyed Saziyabegum, Priti S. Sajja },
title = { Literature Review on Extractive Text Summarization Approaches },
journal = { International Journal of Computer Applications },
issue_date = { Dec 2016 },
volume = { 156 },
number = { 12 },
month = { Dec },
year = { 2016 },
issn = { 0975-8887 },
pages = { 28-36 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume156/number12/26762-2016912574/ },
doi = { 10.5120/ijca2016912574 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:02:26.313862+05:30
%A Saiyed Saziyabegum
%A Priti S. Sajja
%T Literature Review on Extractive Text Summarization Approaches
%J International Journal of Computer Applications
%@ 0975-8887
%V 156
%N 12
%P 28-36
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

There is plenty of information available on internet. Important information can be considered by creating summary from available information. Manual creation of summary is complicated task. Therefore research community is developing new approaches to for automatic text summarization. Automatic text summarization system creates summary. Summary is shorter text that covers important information from original document. Summary can be created using extractive and abstractive methods. Abstractive methods are requires deep understanding of text. After understanding, it represents text into new simple notions in shorter form. Extractive approach uses linguistic and statistical approach for selection of sentences for summary. This paper presents an ample survey of recent text summarization extractive approaches developed in last few decades. Summary evaluation is also covered briefly in this paper. Finally this paper ends with conclusion of future research needed.

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Index Terms

Computer Science
Information Sciences

Keywords

Text Summarization Extractive summarization