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Modeling of User Portrait Through Social Media

Authors :
Gu, Haiqian
Wang, Jie
Wang, Ziwen
Zhuang, Bojin
Su, Fei
Publication Year :
2019

Abstract

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.<br />Comment: published in IEEE International Conference on Multimedia and Expo (ICME). IEEE Computer Society, 2018

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.1906.12323
Document Type :
Working Paper
Full Text :
https://doi.org/10.1109/ICME.2018.8486595