User Modeling, Adaptation, and Personalization

Volume 7899 of the series Lecture Notes in Computer Science pp 318-330

Understanding Email Writers: Personality Prediction from Email Messages

  • Jianqiang ShenAffiliated withPalo Alto Research Center
  • , Oliver BrdiczkaAffiliated withPalo Alto Research Center
  • , Juan LiuAffiliated withPalo Alto Research Center

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Email is a ubiquitous communication tool and constitutes a significant portion of social interactions. In this paper, we attempt to infer the personality of users based on the content of their emails. Such inference can enable valuable applications such as better personalization, recommendation, and targeted advertising. Considering the private and sensitive nature of email content, we propose a privacy-preserving approach for collecting email and personality data. We then frame personality prediction based on the well-known Big Five personality model and train predictors based on extracted email features. We report prediction performance of 3 generative models with different assumptions. Our results show that personality prediction is feasible, and our email feature set can predict personality with reasonable accuracies.


Personality behavior analysis email text processing