Random Indexing and the episodic memory metaphor.Application to text categorization
Publish place: 14th annual International CSI Computer Conference
Publish Year: 1388
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
CSICC14_097
تاریخ نمایه سازی: 24 خرداد 1388
Abstract:
A model of episodic memory is derived to propose algorithms of text categorization with semantic space models. Performances of two algorithms are contrasted using textual material of the text-mining context ‘DEFT09’. Results confirm that the episodic memory metaphor provides a convenient framework to propose efficient algorithm for text categorization. One algorithm has already been tested with LSA. The present paper extends these algorithms to another model of Word Vector named Random Indexing.
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Authors
Yann Vigile Hoareau
CHArt/EPHE-University of Paris ۸, Paris, France.
Adil El Ghali
CHArt/EPHE-University of Paris ۸, Paris, France
Kaoutar El Ghali
ENST-Bretagne, Brest, France