Abstract
In this paper, we investigate a new joint statistical model for text classification, which is copula functions, that is a way of formalizing dependence structures of random vectors. A copula is a distribution function with the implicit capacity to model nonlinear dependencies. Copula have been widely used in economics and finance and more recently it has been used in same field of pattern recognition.