Research Article
Keyword based Automatic Summarization of HTML Documents
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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| Volume 127 - Issue 8 |
| Published: October 2015 |
| Authors: Shivangi Gupta, Mukesh Rawat |
10.5120/ijca2015906421
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Shivangi Gupta, Mukesh Rawat . Keyword based Automatic Summarization of HTML Documents. International Journal of Computer Applications. 127, 8 (October 2015), 24-29. DOI=10.5120/ijca2015906421
@article{ 10.5120/ijca2015906421,
author = { Shivangi Gupta,Mukesh Rawat },
title = { Keyword based Automatic Summarization of HTML Documents },
journal = { International Journal of Computer Applications },
year = { 2015 },
volume = { 127 },
number = { 8 },
pages = { 24-29 },
doi = { 10.5120/ijca2015906421 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2015
%A Shivangi Gupta
%A Mukesh Rawat
%T Keyword based Automatic Summarization of HTML Documents%T
%J International Journal of Computer Applications
%V 127
%N 8
%P 24-29
%R 10.5120/ijca2015906421
%I Foundation of Computer Science (FCS), NY, USA
Abstract
Automatic summarization [5] can be defined as the procedure to create a short version of a text by a computer program. Its product still contains the most important points of the existing text. Multi-document summarization [6] can be defined as an automatic procedure which extracts information from multiple texts that is written about the same topic. Resulting summary report allows individual users or professional information consumers, to quickly familiarize themselves with information that is contained in a large cluster of documents. Multi-document summarization creates information reports that are both concise and comprehensive.
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