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A Statistical Approach to Gender and Age Range Classification in Multilingual Corpus

This paper describes a statistical approach to the task of gender and age range classification in SMS. Our approach started developing our own implementation of Low Dimensional Representation (LDR) method, with the idea to add some other statistics which had not been used in the original implementation, such as skewness, kurtosis and central moments. The proposed method calculates term frequencies and uses 3 statistics per class: mean, standard deviation and skewness.