Gender Identification for Chinese E-mail documents

摘要

In this paper, the method of gender identification for Chinese e-mail documents is described. E-mail documents'' features including linguistic features, format features and structure features were analyzed. The support vector machine algorithm was selected as classification algorithm. Experiments on a set of samples gave promising results, which proved that the method was feasible.