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

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

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Abstract

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.

Item Type:	Article (Journal)
Additional Information:	5505/41836
Uncontrolled Keywords:	Automatic text summarization; Feature extraction; Non negative matrix factorization
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Information and Communication Technology > Department of Computer Science Kulliyyah of Information and Communication Technology > Department of Computer Science
Depositing User:	Dr. Normaziah Abdul Aziz
Date Deposited:	17 Feb 2015 09:22
Last Modified:	22 Aug 2017 11:31
URI:	http://irep.iium.edu.my/id/eprint/41836

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