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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.
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Contributor : Luc Grivel <>
Submitted on : Thursday, June 19, 2003 - 5:32:24 PM
Last modification on : Wednesday, November 4, 2020 - 3:37:02 AM
Long-term archiving on: : Saturday, April 3, 2010 - 8:49:37 PM


  • HAL Id : sic_00000465, version 1


Luc Grivel. Intégration de Composants de Text Mining. Informations, Savoirs, Décisions et Médiations [Informations, Sciences for Decisions Making ] , Laboratoire I3M - EA3820, Université du Sud Toulon-Var, 2003. ⟨sic_00000465v1⟩



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