  Nowadays, massive useful data of user information and social behavior have
been accumulated on the Internet, providing a possibility of profiling user's
personality traits online. In this paper, we propose a psychological modeling
method based on computational linguistic features to profile Big Five
personality traits of users on Sina Weibo (a Twitter-like microblogging service
in China) and their correlations with user's social behaviors. To the best of
our knowledge, this is the first research on investigating the potential
relationship between profile information, social-network behaviors and
personality traits of users on Sina Weibo. Our results demonstrate an effective
modeling approach to understanding demographic and psychological portraits of
users on social media without customer disruption, which is useful for
commercial incorporations to provide better personalized products and services.
