Concept Indexing for Automated Text Categorization
Identifieur interne : 001555 ( Main/Exploration ); précédent : 001554; suivant : 001556Concept Indexing for Automated Text Categorization
Auteurs : María G Mez [Espagne] ; Carlos Cortizo [Espagne] ; Enrique Puertas [Espagne] ; Miguel Ruiz [Espagne]Source :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2004.
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:
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Le document en format XML
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<front><div type="abstract" xml:lang="en">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.</div>
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