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Personality Analysis Using Classification on Turkish Tweets

Personality Analysis Using Classification on Turkish Tweets

Gokalp Mavis, Ismail Hakki Toroslu, Pinar Karagoz
Copyright: © 2021 |Volume: 15 |Issue: 4 |Pages: 18
ISSN: 1557-3958|EISSN: 1557-3966|EISBN13: 9781799859857|DOI: 10.4018/IJCINI.287596
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MLA

Mavis, Gokalp, et al. "Personality Analysis Using Classification on Turkish Tweets." IJCINI vol.15, no.4 2021: pp.1-18. http://doi.org/10.4018/IJCINI.287596

APA

Mavis, G., Toroslu, I. H., & Karagoz, P. (2021). Personality Analysis Using Classification on Turkish Tweets. International Journal of Cognitive Informatics and Natural Intelligence (IJCINI), 15(4), 1-18. http://doi.org/10.4018/IJCINI.287596

Chicago

Mavis, Gokalp, Ismail Hakki Toroslu, and Pinar Karagoz. "Personality Analysis Using Classification on Turkish Tweets," International Journal of Cognitive Informatics and Natural Intelligence (IJCINI) 15, no.4: 1-18. http://doi.org/10.4018/IJCINI.287596

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Abstract

According to the psychology literature, there is a strong correlation between the personality traits and the linguistic behavior of people. Due to increase in computer based communication, individuals express their personalities in written forms on social media. Hence, social media became a convenient resource to analyze the relationship between the personality traits and the 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, we aim to model the relationship between the social media messages of individuals and Big Five Personality Traits as a supervised learning problem. We use Twitter posts and user statistics for analysis. We investigated various approaches for user profile representation, explored several supervised learning techniques, and presented comparative analysis results. Our results confirm the findings of psychology literature, and we show that computational analysis of tweets using supervised learning methods can be used to determine the personality of individuals.