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

Inès Bayoudh 1 Nicolas Béchet 2 Mathieu Roche 3, 2
1 LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
2 TEXTE - Exploration et exploitation de données textuelles
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
3 LRI - Laboratoire de Recherche en Informatique
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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Conference papers
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https://hal-lirmm.ccsd.cnrs.fr/lirmm-00336580
Contributor : Nicolas Béchet <>
Submitted on : Tuesday, November 4, 2008 - 3:16:17 PM
Last modification on : Wednesday, September 16, 2020 - 4:51:27 PM

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CNRS | UMR8623 | TEXTE | LIRMM | MIPS | UNIV-MONTPELLIER

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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. pp.68-77, ⟨10.1007/978-0-387-87685-6_10⟩. ⟨lirmm-00336580⟩

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