Clustering based personality prediction on turkish tweets

Tutaysalgir E., Karagöz P., Toroslu İ. H.

Proceedings of the 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, Vancouver, Canada, 27 - 30 August 2019, pp.825-828 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Doi Number: 10.1145/3341161.3343513
  • City: Vancouver
  • Country: Canada
  • Page Numbers: pp.825-828
  • Keywords: personality analysis, text mining, clustering, Twitter
  • Middle East Technical University Affiliated: Yes


In this paper, we present a framework for predicting the personality traits by analyzing tweets written in Turkish. The prediction model is constructed with a clustering based approach. Since the model is based on linguistic features, it is language specific. The prediction model uses features applicable to Turkish language and related to writing style of Turkish Twitter users. Our approach uses anonymous BIGS questionnaire scores of volunteer participants as the ground truth in order to generate personality model from Twitter posts. Experiment results show that constructed model can predict personality traits of Turkish Twitter users with relatively small errors.