How the ExpLSA Approach Impacts the Document Classification Tasks - LIRMM - Laboratoire d’Informatique, de Robotique et de Microélectronique de Montpellier
Conference Papers Year : 2008

How the ExpLSA Approach Impacts the Document Classification Tasks

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.

Domains

Information Retrieval [cs.IR] Document and Text Processing

Nicolas Béchet  : Connect in order to contact the contributor

https://hal-lirmm.ccsd.cnrs.fr/lirmm-00346219

Submitted on : Thursday, December 11, 2008-11:32:26 AM

Last modification on : Saturday, February 10, 2024-3:07:54 AM

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Dates and versions

lirmm-00346219 , version 1 (11-12-2008)

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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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