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Trends in Multi-document Summarization System Methods

by Abimbola Soriyan, Theresa Omodunbi
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 97 - Number 16
Year of Publication: 2014
Authors: Abimbola Soriyan, Theresa Omodunbi
10.5120/17095-7804

Abimbola Soriyan, Theresa Omodunbi . Trends in Multi-document Summarization System Methods. International Journal of Computer Applications. 97, 16 ( July 2014), 46-52. DOI=10.5120/17095-7804

@article{ 10.5120/17095-7804,
author = { Abimbola Soriyan, Theresa Omodunbi },
title = { Trends in Multi-document Summarization System Methods },
journal = { International Journal of Computer Applications },
issue_date = { July 2014 },
volume = { 97 },
number = { 16 },
month = { July },
year = { 2014 },
issn = { 0975-8887 },
pages = { 46-52 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume97/number16/17095-7804/ },
doi = { 10.5120/17095-7804 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:24:19.689079+05:30
%A Abimbola Soriyan
%A Theresa Omodunbi
%T Trends in Multi-document Summarization System Methods
%J International Journal of Computer Applications
%@ 0975-8887
%V 97
%N 16
%P 46-52
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Information is knowledge if it is rightly applied. Information are stored with different formats in databases but retrieving such from different documents has been a challenge. People want ready-made information for the purpose of decision making in minimal time and thereby crave for summary of information. Automatic summarization helps in mining data and delivering timely and cogent information to users. These systems attempt to address the issue of data mining using different summarization methods. This paper discusses existing methods and state of the art in automatic summarisation system from recent articles. Achievement and challenges involve are also discussed.

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Index Terms

Computer Science
Information Sciences

Keywords

Data mining summarization information retrieval multi-document.

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