Blog Classification: Adding Linguistic Knowledge to Improve the K-NN Algorithm

Abstract : Blogs are interactive and regularly updated websites which can be seen as diaries. These websites are composed by articles based on distinct topics. Thus, it is necessary to develop Information Retrieval approaches for this new web knowledge. The first important step of this process is the categorization of the articles. The paper above compares several methods using linguistic knowledge with k-NN algorithm for automatic categorization of weblogs articles.
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Communication dans un congrès
IIP: Intelligent Information Processing, Oct 2008, Beijing, China. 5th International Conference on Intelligent Information Processing, 288, pp.68-77, 2008, Intelligent Information Processing IV. IIP 2008. IFIP. 〈10.1007/978-0-387-87685-6_10〉
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https://hal-lirmm.ccsd.cnrs.fr/lirmm-00336580
Contributeur : Nicolas Béchet <>
Soumis le : mardi 4 novembre 2008 - 15:16:17
Dernière modification le : mardi 17 avril 2018 - 15:13:39

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Inès Bayoudh, Nicolas Béchet, Mathieu Roche. Blog Classification: Adding Linguistic Knowledge to Improve the K-NN Algorithm. IIP: Intelligent Information Processing, Oct 2008, Beijing, China. 5th International Conference on Intelligent Information Processing, 288, pp.68-77, 2008, Intelligent Information Processing IV. IIP 2008. IFIP. 〈10.1007/978-0-387-87685-6_10〉. 〈lirmm-00336580〉

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