Intégration de Composants de Text Mining

Luc Grivel
Abstract : The goal of this paper is to show the interest of combining various text analysis techniques (shallow parsing, semantic analysis, etc.) and some information access techniques (indexing, classification, clustering, mapping)) to developp an information analysis system to be used and customized by non-specialists of documentary languages. The paper shows how these techniques can be integrated to for a process chain including : XML reformating, information extraction, clustering, mapping.


http://archivesic.ccsd.cnrs.fr/sic_00000465
Contributor : Luc Grivel <>
Submitted on : Friday, June 20, 2003 - 9:00:32 AM
Last modification on : Friday, June 20, 2003 - 9:00:32 AM

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  • HAL Id : sic_00000465, version 2

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Luc Grivel. Intégration de Composants de Text Mining. ISDM International Journal of Information Sciences for Decision Making, 2003. <sic_00000465v2>

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