Personality Analysis Using Classification on Turkish Tweets

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Date

2021-10-01

Author

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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According to the psychology literature, there is a strong correlation between personality traits and the linguistic behavior of people. Due to the increase in computer based communication, individuals express their personalities in written forms on social media. Hence, social media has become a convenient resource to analyze the relationship between personality traits and lingusitic behaviour. Although there is a vast amount of studies on social media, only a small number of them focus on personality prediction. In this work, the authors aim to model the relationship between the social media messages of individuals and big five personality traits as a supervised learning problem. They use Twitter posts and user statistics for analysis. They investigate various approaches for user profile representation, explore several supervised learning techniques, and present comparative analysis results. The results confirm the findings of psychology literature, and they show that computational analysis of tweets using supervised learning methods can be used to determine the personality of individuals.

Subject Keywords

Big Five Personality Traits, Deep Learning, Machine Learning, Personality, Social Media, Supervised Learning, Tweets

URI

https://hdl.handle.net/11511/93959

Journal

International Journal of Cognitive Informatics and Natural Intelligence

DOI

https://doi.org/10.4018/ijcini.287596

Collections

Department of Computer Engineering, Article

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Citation Formats

P. Karagöz and İ. H. Toroslu, “Personality Analysis Using Classification on Turkish Tweets,” International Journal of Cognitive Informatics and Natural Intelligence, vol. 15, no. 4, pp. 1–18, 2021, Accessed: 00, 2021. [Online]. Available: https://hdl.handle.net/11511/93959.