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La democratisation et l’evolution des logiciels de traitements de texte ont revolutionne le monde du document. Les auteurs construisent des documents dits structures c'est-a-dire dont le contenu textuel s’organise autours de balises. Toutefois, la classification traditionnelle de documents n’utilise que le contenu textuel des documents et ignore les informations de structure. Dans ce papier, nous proposons une nouvelle representation des documents structures basee sur un vecteur pondere associant un mot et une balise. Les poids sont calcules en adaptant les formules TF-IDF et TF-IEF. Cette representation est construite a partir d’une representation synthetique du document appele arbre resume. Pour evaluer notre approche, nous avons mene plusieurs experimentations avec un systeme de classification base sur le classifieur SVMlight. Nous presentons les resultats de nos experimentations menees sur les corpus REUTERS et INEX. / Developing the text processing applications has revolutionized the world of documents. The author constructs the document as structured document in which the textual content is organized around tags. However, the traditional document classification typically classifies the documents considering the text and ignoring its structural elements. In this paper, we propose a representation method which makes use of structural elements to create the vector of tag and word weighted by an extension of TF-IDF and TF-IEF formula. This representation is constructed from an aggregated tree of XML document. Several experimentations have been made using SVMlight as classifier on Reuters and INEX collections.

Classification de documents combinant la structure et le contenu