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Vectorisation paramétrée des données textuelles

Célia da Costa Pereira 1 Mathieu Lafourcade 2 Patrick Lloret 3 Cédric Lopez 4 Mathieu Roche 5, 6
1 Laboratoire d'Informatique, Signaux, et Systèmes de Sophia-Antipolis (I3S) / Equipe KEIA
Laboratoire I3S - SPARKS - Scalable and Pervasive softwARe and Knowledge Systems
2 TEXTE - Exploration et exploitation de données textuelles
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
5 ADVANSE - ADVanced Analytics for data SciencE
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
Abstract : Automatic processing of textual data enables users to analyze semi-automatically and on a large scale the data. This analysis is based on two successive processes: (i) representation of texts, (ii) gathering of textual data (clustering). The software described in this paper focuses on the first step of the process by offering expert a parameterized representation of textual data.
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https://hal.archives-ouvertes.fr/hal-01333661
Contributor : Célia da Costa Pereira <>
Submitted on : Saturday, June 18, 2016 - 12:30:38 PM
Last modification on : Thursday, July 2, 2020 - 2:00:06 PM

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  • HAL Id : hal-01333661, version 1

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Célia da Costa Pereira, Mathieu Lafourcade, Patrick Lloret, Cédric Lopez, Mathieu Roche. Vectorisation paramétrée des données textuelles. EGC: Extraction et Gestion des Connaissances, Jan 2014, Rennes, France. pp.593-596. ⟨hal-01333661⟩

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