25 Tweets to Know You: A New Model to Predict Personality with Social Media

Authors

  • Pierre-Hadrien Arnoux IBM Research
  • Anbang Xu IBM Research
  • Neil Boyette IBM Research
  • Jalal Mahmud IBM Research
  • Rama Akkiraju IBM Research
  • Vibha Sinha IBM Research

Abstract

Predicting personality is essential for social applications supporting human-centered activities, yet prior modeling methods with users’ written text require too much input data to be realistically used in the context of social media. In this work, we aim to drastically reduce the data requirement for personality modeling and develop a model that is applicable to most users on Twitter. Our model integrates Word Embedding features with Gaussian Processes regression. Based on the evaluation of over 1.3K users on Twitter, we find that our model achieves comparable or better accuracy than state-of-the-art techniques with 8 times fewer data.

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Published

2017-05-03

How to Cite

Arnoux, P.-H., Xu, A., Boyette, N., Mahmud, J., Akkiraju, R., & Sinha, V. (2017). 25 Tweets to Know You: A New Model to Predict Personality with Social Media. Proceedings of the International AAAI Conference on Web and Social Media, 11(1), 472-475. Retrieved from https://ojs.aaai.org/index.php/ICWSM/article/view/14963