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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主要な著者: | , , |
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フォーマット: | Conference or Workshop Item |
言語: | English |
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2012
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オンライン・アクセス: | http://irep.iium.edu.my/38875/1/Study_on_sparseness_effects_over_NMF_applied_for_Automatic_Text_Summarization.pdf http://irep.iium.edu.my/38875/ http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6392576 |
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