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