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Concept Indexing for Automated Text Categorization

Identifieur interne : 001555 ( Main/Exploration ); précédent : 001554; suivant : 001556

Concept Indexing for Automated Text Categorization

Auteurs : María G Mez [Espagne] ; Carlos Cortizo [Espagne] ; Enrique Puertas [Espagne] ; Miguel Ruiz [Espagne]

Source :

RBID : ISTEX:76F1D89E5965ED6A9998D6152D9ECF3982012A3F

Abstract

Abstract: In this paper we explore the potential of concept indexing with WordNet synsets for Text Categorization, in comparison with the traditional bag of words text representation model. We have performed a series of experiments in which we also test the possibility of using simple yet robust disambiguation methods for concept indexing, and the effectiveness of stoplist-filtering and stemming on the SemCor semantic concordance. Results are not conclusive yet promising.

Url:
DOI: 10.1007/978-3-540-27779-8_17


Affiliations:


Links toward previous steps (curation, corpus...)


Le document en format XML

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