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Optimizing text classification through efficient feature selection based on quality metric

Jean-Charles Lamirel 1 Pascal Cuxac 2 Kafil Hajlaoui 3
1 SYNALP - Natural Language Processing : representations, inference and semantics
LORIA - NLPKD - Department of Natural Language Processing & Knowledge Discovery
2 INIST - Institut de l'information scientifique et technique
3 ERIC - Entrepôts, Représentation et Ingénierie des Connaissances
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Journal articles
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https://hal.inria.fr/hal-01263651
Contributor : Jean-Charles Lamirel Connect in order to contact the contributor
Submitted on : Thursday, January 28, 2016 - 8:48:09 AM
Last modification on : Saturday, October 16, 2021 - 11:26:06 AM

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  • HAL Id : hal-01263651, version 1

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CNRS | ERIC | INRIA | UNIV-LORRAINE | UNIV-LYON2 | LORIA-NLPKD | LORIA | UNIV-LYON1 | UDL | INIST

Citation

Jean-Charles Lamirel, Pascal Cuxac, Kafil Hajlaoui. Optimizing text classification through efficient feature selection based on quality metric. Journal of Intelligent Information Systems, Springer Verlag, 2014, pp.18. ⟨hal-01263651⟩

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