Implementation of Gender Recognition System for Twitter User

Abstract

Recently, CGM (Consumer Generated Media) such as Twitter has been reportedly rapid and it is burgeoning online marketing technique as a form of interpersonal communications. In this paper, we propose a gender recognition system of Japanese Twitter users by using morphological analysis and support vector machine classification. Then we show its efficiency through numerical experiments on practical Twitter data.