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How the ExpLSA Approach Impacts the Document Classification Tasks

Nicolas Béchet 1 Mathieu Roche 2, 1 Jacques Chauché 3, 1
1 TEXTE - Exploration et exploitation de données textuelles
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
Abstract : Latent Semantic Analysis (LSA) is a statistical method which can be used to classify texts. This paper proposes a sentence expansion method (ExpLSA) to improve document classification tasks. We propose to study the impact of ExpLSA on the size and on the type of corpora.
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https://hal-lirmm.ccsd.cnrs.fr/lirmm-00346219
Contributor : Nicolas Béchet <>
Submitted on : Thursday, December 11, 2008 - 11:32:26 AM
Last modification on : Thursday, June 17, 2021 - 3:47:12 AM

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Nicolas Béchet, Mathieu Roche, Jacques Chauché. How the ExpLSA Approach Impacts the Document Classification Tasks. ICDIM'08: 3rd International Conference on Digital Information Management, Nov 2008, London, United Kingdom. pp.241-246, ⟨10.1109/ICDIM.2008.4746814⟩. ⟨lirmm-00346219⟩

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