Algebraic reduction in automatic text summarization - The state of the art

Various kinds of information that is available on a topic electronically has abundantly increased over the past years. It has led the information highway to a situation called “information overload” problem. Automatic text summarization technique mainly addresses this issue by the extraction of a sh...

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Main Authors:	Kadar Batcha, Nowshath, Zeki, Ahmed M.
Format:	Conference or Workshop Item
Language:	English
Published:	2010
Subjects:	T Technology (General)
Online Access:	http://irep.iium.edu.my/13520/ http://irep.iium.edu.my/13520/ http://irep.iium.edu.my/13520/1/Algebraic_Reduction.pdf

id	iium-13520
recordtype	eprints
spelling	iium-135202012-02-20T03:27:52Z http://irep.iium.edu.my/13520/ Algebraic reduction in automatic text summarization - The state of the art Kadar Batcha, Nowshath Zeki, Ahmed M. T Technology (General) Various kinds of information that is available on a topic electronically has abundantly increased over the past years. It has led the information highway to a situation called “information overload” problem. Automatic text summarization technique mainly addresses this issue by the extraction of a shortened version of information from texts written about the same topic. Several algebraic reduction methods are used to identify and extract the semantically important texts in a document to summarize it automatically. This paper attempts to provide a background study of the various classical methods proposed by researchers for automatic text summarization. Special focus is given to the most widely used algebraic methods called Singular Value Decomposition (SVD) and Non-negative Matrix Factorization (NMF). This work sheds more light on the application of SVD and NMF techniques on automatic text summarization. Attention is also devoted in this work to analyze the advantages and disadvantages of each approach. 2010 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/13520/1/Algebraic_Reduction.pdf Kadar Batcha, Nowshath and Zeki, Ahmed M. (2010) Algebraic reduction in automatic text summarization - The state of the art. In: 2010 International Conference on Computer and Communication Engineering (ICCCE), 11-12 May 2010 , Kuala Lumpur . http://ieeexplore.ieee.org/search/srchabstract.jsp?tp=&arnumber=5556770&openedRefinements%3D*%26filter%3DAND%28NOT%284283010803%29%29%26searchField%3DSearch+All%26queryText%3DAlgebraic+reduction+in+automatic+text+summarization+-+The+state+of+the+art
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	T Technology (General)
spellingShingle	T Technology (General) Kadar Batcha, Nowshath Zeki, Ahmed M. Algebraic reduction in automatic text summarization - The state of the art
description	Various kinds of information that is available on a topic electronically has abundantly increased over the past years. It has led the information highway to a situation called “information overload” problem. Automatic text summarization technique mainly addresses this issue by the extraction of a shortened version of information from texts written about the same topic. Several algebraic reduction methods are used to identify and extract the semantically important texts in a document to summarize it automatically. This paper attempts to provide a background study of the various classical methods proposed by researchers for automatic text summarization. Special focus is given to the most widely used algebraic methods called Singular Value Decomposition (SVD) and Non-negative Matrix Factorization (NMF). This work sheds more light on the application of SVD and NMF techniques on automatic text summarization. Attention is also devoted in this work to analyze the advantages and disadvantages of each approach.
format	Conference or Workshop Item
author	Kadar Batcha, Nowshath Zeki, Ahmed M.
author_facet	Kadar Batcha, Nowshath Zeki, Ahmed M.
author_sort	Kadar Batcha, Nowshath
title	Algebraic reduction in automatic text summarization - The state of the art
title_short	Algebraic reduction in automatic text summarization - The state of the art
title_full	Algebraic reduction in automatic text summarization - The state of the art
title_fullStr	Algebraic reduction in automatic text summarization - The state of the art
title_full_unstemmed	Algebraic reduction in automatic text summarization - The state of the art
title_sort	algebraic reduction in automatic text summarization - the state of the art
publishDate	2010
url	http://irep.iium.edu.my/13520/ http://irep.iium.edu.my/13520/ http://irep.iium.edu.my/13520/1/Algebraic_Reduction.pdf
first_indexed	2023-09-18T20:22:41Z
last_indexed	2023-09-18T20:22:41Z
_version_	1777408212223393792

Algebraic reduction in automatic text summarization - The state of the art

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