Geodesic
Short text messages classification method
Informacionnye tehnologii i vyčislitelnye sistemy, no. 3 (2012), pp. 93-102

Voir la notice de l'article provenant de la source Math-Net.Ru

The article covers short text classification method based on different measures of similarity word distribution. The work presents the text classification method based on a new lexical descriptor information gain concept and a topic importance characteristic. The results of experiments are presented.
Keywords: short text classification, metadata based classification, SVM, TF, IDF, topic importance characteristic. 
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     author = {E. Mbaykodzhi and A. A. Dral and I. V. Sochenkov},
     title = {Short text messages classification method},
     journal = {Informacionnye tehnologii i vy\v{c}islitelnye sistemy},
     pages = {93--102},
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     number = {3},
     year = {2012},
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     url = {http://geodesic.mathdoc.fr/item/ITVS_2012_3_a8/}
}
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E. Mbaykodzhi; A. A. Dral; I. V. Sochenkov. Short text messages classification method. Informacionnye tehnologii i vyčislitelnye sistemy, no. 3 (2012), pp. 93-102. http://geodesic.mathdoc.fr/item/ITVS_2012_3_a8/