An algebraic approach for sentence based feature extraction applied for automatic text summarization

In the existing approaches of Automatic Text Summarization (ATS) which uses the algebraic reduction method Non-negative Matrix Factorization (NMF), the approximation process is more concerned towards convergence and feature selection from the original text into W matrix is of less consideration. Thi...

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Main Authors:	Batcha, Nowshath Kadhar, Abdul Aziz, Normaziah
Format:	Article
Language:	English English
Published:	American Scientific Publishers 2014
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://irep.iium.edu.my/41836/ http://irep.iium.edu.my/41836/ http://irep.iium.edu.my/41836/ http://irep.iium.edu.my/41836/3/ASP_NAA_FINAL.pdf http://irep.iium.edu.my/41836/6/41836_An%20algebraic%20approach_SCOPUS.pdf

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recordtype	eprints
spelling	iium-418362017-08-22T03:31:12Z http://irep.iium.edu.my/41836/ An algebraic approach for sentence based feature extraction applied for automatic text summarization Batcha, Nowshath Kadhar Abdul Aziz, Normaziah QA75 Electronic computers. Computer science In the existing approaches of Automatic Text Summarization (ATS) which uses the algebraic reduction method Non-negative Matrix Factorization (NMF), the approximation process is more concerned towards convergence and feature selection from the original text into W matrix is of less consideration. This obviously leads to linguistic noise which affects the quality of the summary generated the ATS process. Each sentence in a given text plays a vital role and identifying the most relevant and an important sentence from the given text is most prominent for ATS. This can be done when only the correct features of the sentences are extracted properly in W matrix. Hence this paper proposes an algebraic approach for sentence based feature extraction mainly addressing the issue that exists with the Non-negative Matrix Factorization (NMF) based methods when applied to ATS. Result clearly indicates that the newly proposed approach can identify and extract feature terms from documents effectively and weigh them more accurately than the existing method addressed. American Scientific Publishers 2014-01-14 Article PeerReviewed application/pdf en http://irep.iium.edu.my/41836/3/ASP_NAA_FINAL.pdf application/pdf en http://irep.iium.edu.my/41836/6/41836_An%20algebraic%20approach_SCOPUS.pdf Batcha, Nowshath Kadhar and Abdul Aziz, Normaziah (2014) An algebraic approach for sentence based feature extraction applied for automatic text summarization. Advanced Science Letters, 20 (1). pp. 139-143. ISSN 1936-6612 E-ISSN 1936-7317 http://www.ingentaconnect.com/content/asp/asl/2014/00000020/00000001/art00028 10.1166/asl.2014.5258
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English
topic	QA75 Electronic computers. Computer science
spellingShingle	QA75 Electronic computers. Computer science Batcha, Nowshath Kadhar Abdul Aziz, Normaziah An algebraic approach for sentence based feature extraction applied for automatic text summarization
description	In the existing approaches of Automatic Text Summarization (ATS) which uses the algebraic reduction method Non-negative Matrix Factorization (NMF), the approximation process is more concerned towards convergence and feature selection from the original text into W matrix is of less consideration. This obviously leads to linguistic noise which affects the quality of the summary generated the ATS process. Each sentence in a given text plays a vital role and identifying the most relevant and an important sentence from the given text is most prominent for ATS. This can be done when only the correct features of the sentences are extracted properly in W matrix. Hence this paper proposes an algebraic approach for sentence based feature extraction mainly addressing the issue that exists with the Non-negative Matrix Factorization (NMF) based methods when applied to ATS. Result clearly indicates that the newly proposed approach can identify and extract feature terms from documents effectively and weigh them more accurately than the existing method addressed.
format	Article
author	Batcha, Nowshath Kadhar Abdul Aziz, Normaziah
author_facet	Batcha, Nowshath Kadhar Abdul Aziz, Normaziah
author_sort	Batcha, Nowshath Kadhar
title	An algebraic approach for sentence based feature extraction applied for automatic text summarization
title_short	An algebraic approach for sentence based feature extraction applied for automatic text summarization
title_full	An algebraic approach for sentence based feature extraction applied for automatic text summarization
title_fullStr	An algebraic approach for sentence based feature extraction applied for automatic text summarization
title_full_unstemmed	An algebraic approach for sentence based feature extraction applied for automatic text summarization
title_sort	algebraic approach for sentence based feature extraction applied for automatic text summarization
publisher	American Scientific Publishers
publishDate	2014
url	http://irep.iium.edu.my/41836/ http://irep.iium.edu.my/41836/ http://irep.iium.edu.my/41836/ http://irep.iium.edu.my/41836/3/ASP_NAA_FINAL.pdf http://irep.iium.edu.my/41836/6/41836_An%20algebraic%20approach_SCOPUS.pdf
first_indexed	2023-09-18T20:59:46Z
last_indexed	2023-09-18T20:59:46Z
_version_	1777410545363714048

An algebraic approach for sentence based feature extraction applied for automatic text summarization

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