Expériences de classification d'une collection de documents XML de structure homogène

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dc.creatorDespeyroux, Thierry
dc.creatorLechevallier, Yves
dc.creatorTrousse, Brigitte
dc.creatorVercoustre, Anne-Marie
dc.date2005-08-04
dc.date2005-08-09
dc.date.accessioned2026-07-07T03:23:18Z
dc.date.available2026-07-07T03:23:18Z
dc.descriptionThis paper presents some experiments in clustering homogeneous XMLdocuments to validate an existing classification or more generally anorganisational structure. Our approach integrates techniques for extracting knowledge from documents with unsupervised classification (clustering) of documents. We focus on the feature selection used for representing documents and its impact on the emerging classification. We mix the selection of structured features with fine textual selection based on syntactic characteristics.We illustrate and evaluate this approach with a collection of Inria activity reports for the year 2003. The objective is to cluster projects into larger groups (Themes), based on the keywords or different chapters of these activity reports. We then compare the results of clustering using different feature selections, with the official theme structure used by Inria.
dc.descriptionCette version corrige des erreurs dans le nom de 2 auteurs cites dans la bibliographie
dc.identifierhttps://arxiv.org/abs/cs/0508036
dc.identifierhttp://arxiv.org/abs/cs/0508036
dc.identifierDans 5ème Journées d' Extraction et de Gestion des Connaissances (EGC 2005)
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/32892
dc.subjectInformation Retrieval
dc.titleExpériences de classification d'une collection de documents XML de structure homogène
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