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: Proceeding Paper
Language:English
Published: 2012
Subjects:
Online Access: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
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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
building IIUM Repository
collection Online Access
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.
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institution International Islamic University Malaysia
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language English
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publishDate 2012
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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 Proceeding Paper 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
spellingShingle T Technology (General)
Batcha, Nowshath Kadhar
Murugesan, Raja Kumar
A. Aziz, Normaziah
Study on sparseness effects over NMF applied for automatic text summarization
title 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_short Study on sparseness effects over NMF applied for automatic text summarization
title_sort study on sparseness effects over nmf applied for automatic text summarization
topic T Technology (General)
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