Geodesic
Short text messages classification method
Informacionnye tehnologii i vyčislitelnye sistemy, no. 3 (2012), pp. 93-102 Cet article a éte moissonné depuis la source Math-Net.Ru

Voir la notice de l'article

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. 
@article{ITVS_2012_3_a8,
     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},
     year = {2012},
     number = {3},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/ITVS_2012_3_a8/}
}
TY  - JOUR
AU  - E. Mbaykodzhi
AU  - A. A. Dral
AU  - I. V. Sochenkov
TI  - Short text messages classification method
JO  - Informacionnye tehnologii i vyčislitelnye sistemy
PY  - 2012
SP  - 93
EP  - 102
IS  - 3
UR  - http://geodesic.mathdoc.fr/item/ITVS_2012_3_a8/
LA  - ru
ID  - ITVS_2012_3_a8
ER  - 
%0 Journal Article
%A E. Mbaykodzhi
%A A. A. Dral
%A I. V. Sochenkov
%T Short text messages classification method
%J Informacionnye tehnologii i vyčislitelnye sistemy
%D 2012
%P 93-102
%N 3
%U http://geodesic.mathdoc.fr/item/ITVS_2012_3_a8/
%G ru
%F ITVS_2012_3_a8
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/