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Literature Review on Automatic Text Summarization: Single and Multiple Summarizations

by Neelima Bhatia, Arunima Jaiswal
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 117 - Number 6
Year of Publication: 2015
Authors: Neelima Bhatia, Arunima Jaiswal
10.5120/20560-2948

Neelima Bhatia, Arunima Jaiswal . Literature Review on Automatic Text Summarization: Single and Multiple Summarizations. International Journal of Computer Applications. 117, 6 ( May 2015), 25-29. DOI=10.5120/20560-2948

@article{ 10.5120/20560-2948,
author = { Neelima Bhatia, Arunima Jaiswal },
title = { Literature Review on Automatic Text Summarization: Single and Multiple Summarizations },
journal = { International Journal of Computer Applications },
issue_date = { May 2015 },
volume = { 117 },
number = { 6 },
month = { May },
year = { 2015 },
issn = { 0975-8887 },
pages = { 25-29 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume117/number6/20560-2948/ },
doi = { 10.5120/20560-2948 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:58:38.080851+05:30
%A Neelima Bhatia
%A Arunima Jaiswal
%T Literature Review on Automatic Text Summarization: Single and Multiple Summarizations
%J International Journal of Computer Applications
%@ 0975-8887
%V 117
%N 6
%P 25-29
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The online information available on world wide web is in enormous amount. Search engines like Google, Yahoo were developed to retrieve information from the databases. But actual results were not obtained as the electronic information is increasing day by day. Thus automatic summarization came into demand. Automatic summarization gathers several documents as input and provides the shorter summarized version as output which is informative, unambiguous, save valuable time. Research was done on a single document and moved towards multiple documents. This review categorizes single and multiple summarization methods.

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Index Terms

Computer Science
Information Sciences

Keywords

Automatic Text summarization

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