Understanding Email Writers: Personality Prediction from Email Messages

  • Jianqiang Shen
  • Oliver Brdiczka
  • Juan Liu
Conference paper

DOI: 10.1007/978-3-642-38844-6_29

Part of the Lecture Notes in Computer Science book series (LNCS, volume 7899)
Cite this paper as:
Shen J., Brdiczka O., Liu J. (2013) Understanding Email Writers: Personality Prediction from Email Messages. In: Carberry S., Weibelzahl S., Micarelli A., Semeraro G. (eds) User Modeling, Adaptation, and Personalization. UMAP 2013. Lecture Notes in Computer Science, vol 7899. Springer, Berlin, Heidelberg

Abstract

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.

Keywords

Personality behavior analysis email text processing 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Jianqiang Shen
    • 1
  • Oliver Brdiczka
    • 1
  • Juan Liu
    • 1
  1. 1.Palo Alto Research CenterPalo AltoUSA

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