Descripción
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This paper discusses a novel hybrid approach for text categorization that combines a machine learning algorithm, which provides a base model trained with a labeled corpus, with a rule-based expert system, which is used to improve the results provided by the previous classifier, by filtering false positives and dealing with false negatives. | |
Internacional
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Si |
Nombre congreso
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24th International Florida Artificial Intelligence Research Society Conference, 2011 |
Tipo de participación
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960 |
Lugar del congreso
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Palm Beach, Florida |
Revisores
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Si |
ISBN o ISSN
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978-1-57735-501-4 |
DOI
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Fecha inicio congreso
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18/05/2011 |
Fecha fin congreso
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20/05/2011 |
Desde la página
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323 |
Hasta la página
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328 |
Título de las actas
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Proceedings of the Twenty-Fourth International Florida Artificial Intelligence Research Society Conference |