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Text Summarization within the Latent Semantic Analysis Framework: Comparative Study

by Rasha Mohammed Badry, Ahmed Sharaf Eldin, Doaa Saad Elzanfally
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 81 - Number 11
Year of Publication: 2013
Authors: Rasha Mohammed Badry, Ahmed Sharaf Eldin, Doaa Saad Elzanfally
10.5120/14060-2366

Rasha Mohammed Badry, Ahmed Sharaf Eldin, Doaa Saad Elzanfally . Text Summarization within the Latent Semantic Analysis Framework: Comparative Study. International Journal of Computer Applications. 81, 11 ( November 2013), 40-45. DOI=10.5120/14060-2366

@article{ 10.5120/14060-2366,
author = { Rasha Mohammed Badry, Ahmed Sharaf Eldin, Doaa Saad Elzanfally },
title = { Text Summarization within the Latent Semantic Analysis Framework: Comparative Study },
journal = { International Journal of Computer Applications },
issue_date = { November 2013 },
volume = { 81 },
number = { 11 },
month = { November },
year = { 2013 },
issn = { 0975-8887 },
pages = { 40-45 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume81/number11/14060-2366/ },
doi = { 10.5120/14060-2366 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:55:50.557555+05:30
%A Rasha Mohammed Badry
%A Ahmed Sharaf Eldin
%A Doaa Saad Elzanfally
%T Text Summarization within the Latent Semantic Analysis Framework: Comparative Study
%J International Journal of Computer Applications
%@ 0975-8887
%V 81
%N 11
%P 40-45
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

It is very difficult for human beings to manually summarize large documents of text. Text summarization solves this problem. Nowadays, Text summarization systems are among the most attractive research areas. Text summarization (TS) is used to provide a shorter version of the original text and keeping the overall meaning. There are various methods that aim to find out well-formed summaries. One of the most commonly used methods is the Latent Semantic Analysis (LSA). In this review, we present a comparative study among almost algorithms based on Latent Semantic Analysis (LSA) approach.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Text Summarization Latent Semantic Analysis SVD Sentence Extraction.

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