DMCA
Multinomial Mixture Modelling for Bilingual Text Classification (2005)
| Citations: | 3 - 3 self |
BibTeX
@TECHREPORT{Civera05multinomialmixture,
author = {Jorge Civera and Alfons Juan and Departament De Sistemes Informàtics},
title = {Multinomial Mixture Modelling for Bilingual Text Classification},
institution = {},
year = {2005}
}
Share
 |
 |
 |
 |
||
OpenURL
Abstract
Abstract. Mixture modelling of class-conditional densities is a standard pattern classification technique. In text classification, the use of class-conditional multinomial mixtures can be seen as a generalisation of the Naive Bayes text classifier relaxing its (class-conditional feature) independence assumption. In this paper, we describe and compare several extensions of the class-conditional multinomial mixture-based text classifier for bilingual texts. 1
Keyphrases
bilingual text classification multinomial mixture modelling naive bayes text classifier class-conditional multinomial mixture independence assumption bilingual text class-conditional multinomial mixture-based text classifier class-conditional density standard pattern classification technique class-conditional feature text classification mixture modelling several extension
