Clustering based personality prediction on turkish tweets

Date

2019-08-30

Author

Tutaysalgir, Esen
Karagöz, Pınar
Toroslu, İsmail Hakkı

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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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.

Subject Keywords

Personality analysis, Twitter, Clustering, Text mining

URI

https://hdl.handle.net/11511/37038

DOI

https://doi.org/10.1145/3341161.3343513

Conference Name

IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)

Collections

Department of Computer Engineering, Conference / Seminar

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Citation Formats

E. Tutaysalgir, P. Karagöz, and İ. H. Toroslu, “Clustering based personality prediction on turkish tweets,” presented at the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), Vancouver, Canada, 2019, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/37038.