DocumentCode :
2625072
Title :
Random indexing and the episodic memory metaphor. Application to text categorization
Author :
Hoareau, Yann Vigile ; El Ghali, A. ; Legros, Denis ; El Ghali, K.
Author_Institution :
CHArt/EPHE, Univ. of Paris 8, Paris, France
fYear :
2009
fDate :
20-21 Oct. 2009
Firstpage :
271
Lastpage :
275
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.
Keywords :
data mining; random processes; text analysis; episodic memory metaphor; random indexing; semantic space models; text categorization; text-mining; Encoding; Humans; Indexing; Information analysis; Motion pictures; Performance evaluation; Problem-solving; Psychology; Testing; Text categorization; Random Indexing; categorization; episodic memory; text-mining;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Conference, 2009. CSICC 2009. 14th International CSI
Conference_Location :
Tehran
Print_ISBN :
978-1-4244-4261-4
Electronic_ISBN :
978-1-4244-4262-1
Type :
conf
DOI :
10.1109/CSICC.2009.5349404
Filename :
5349404
Link To Document :
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