Study on sparseness effects over NMF applied for automatic text summarization

The significance of Non-negative Matrix Factorization ((NMF) in the field of automatic text summarization is rapidly increasing due to its interpretation and storage capabilities. Interpretation defines the ease at which the structure of high dimensional data can be understood. While, storage capab...

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Main Authors:	Batcha, Nowshath Kadhar, Murugesan, Raja Kumar, A. Aziz, Normaziah
Format:	Conference or Workshop Item
Language:	English
Published:	2012
Subjects:	T Technology (General)
Online Access:	http://irep.iium.edu.my/38875/ http://irep.iium.edu.my/38875/ http://irep.iium.edu.my/38875/1/Study_on_sparseness_effects_over_NMF_applied_for_Automatic_Text_Summarization.pdf

id	iium-38875
recordtype	eprints
spelling	iium-388752014-10-31T07:22:55Z http://irep.iium.edu.my/38875/ Study on sparseness effects over NMF applied for automatic text summarization Batcha, Nowshath Kadhar Murugesan, Raja Kumar A. Aziz, Normaziah T Technology (General) The significance of Non-negative Matrix Factorization ((NMF) in the field of automatic text summarization is rapidly increasing due to its interpretation and storage capabilities. Interpretation defines the ease at which the structure of high dimensional data can be understood. While, storage capability relates to the extent of data reduction process achieved by NMF. The parametric values that serve as input to the NMF process include initialization method, rank of factorization, sparseness measure and maximum iteration. These inputs are vital to the output produced by NMF. These parameters of NMF were not been considered in the existing literature on Automatic Text Summarization (ATS). This paper sheds light specifically on sparseness of NMF when applied to ATS and the impact it makes to the quality of the summary generated. In this study on NMF algorithm that supports sparseness is treated with various degree of sparsity and its performance impact on text summary generated is compared with other NMF algorithms without sparseness constraints. 2012-05 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/38875/1/Study_on_sparseness_effects_over_NMF_applied_for_Automatic_Text_Summarization.pdf Batcha, Nowshath Kadhar and Murugesan, Raja Kumar and A. Aziz, Normaziah (2012) Study on sparseness effects over NMF applied for automatic text summarization. In: The 2nd IEEE International Conference on Cyber Technology In Automation, Control, and Intelligent Systems (IEEE-CYBER 2012), 27th - 31th May 2012, Imperial Queen’s Park Hotel, Bangkok, Thailand. http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6392576
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) Batcha, Nowshath Kadhar Murugesan, Raja Kumar A. Aziz, Normaziah Study on sparseness effects over NMF applied for automatic text summarization
description	The significance of Non-negative Matrix Factorization ((NMF) in the field of automatic text summarization is rapidly increasing due to its interpretation and storage capabilities. Interpretation defines the ease at which the structure of high dimensional data can be understood. While, storage capability relates to the extent of data reduction process achieved by NMF. The parametric values that serve as input to the NMF process include initialization method, rank of factorization, sparseness measure and maximum iteration. These inputs are vital to the output produced by NMF. These parameters of NMF were not been considered in the existing literature on Automatic Text Summarization (ATS). This paper sheds light specifically on sparseness of NMF when applied to ATS and the impact it makes to the quality of the summary generated. In this study on NMF algorithm that supports sparseness is treated with various degree of sparsity and its performance impact on text summary generated is compared with other NMF algorithms without sparseness constraints.
format	Conference or Workshop Item
author	Batcha, Nowshath Kadhar Murugesan, Raja Kumar A. Aziz, Normaziah
author_facet	Batcha, Nowshath Kadhar Murugesan, Raja Kumar A. Aziz, Normaziah
author_sort	Batcha, Nowshath Kadhar
title	Study on sparseness effects over NMF applied for automatic text summarization
title_short	Study on sparseness effects over NMF applied for automatic text summarization
title_full	Study on sparseness effects over NMF applied for automatic text summarization
title_fullStr	Study on sparseness effects over NMF applied for automatic text summarization
title_full_unstemmed	Study on sparseness effects over NMF applied for automatic text summarization
title_sort	study on sparseness effects over nmf applied for automatic text summarization
publishDate	2012
url	http://irep.iium.edu.my/38875/ http://irep.iium.edu.my/38875/ http://irep.iium.edu.my/38875/1/Study_on_sparseness_effects_over_NMF_applied_for_Automatic_Text_Summarization.pdf
first_indexed	2023-09-18T20:55:51Z
last_indexed	2023-09-18T20:55:51Z
_version_	1777410298737590272

Study on sparseness effects over NMF applied for automatic text summarization

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