Early detection of mental disorders risk is an important task for modern society. A large set of clinical works showed that five-factor personality traits model (Big Five) can predict mental disorders. In this paper, we consider the problem of automatic detection of personality traits from user profiles of Russian social network VKontakte. We describe the preparation of user profiles dataset, propose several features sets and evaluate machine learning methods for predicting personality traits. The results of experiments show that different features set demonstrate promising results on the task of a personality prediction.
DOI: http://dx.doi.org/10.1007/978-3-030-30763-9_15
PDF at SpringerLink: https://link.springer.com/content/pdf/10.1007%2F978-3-030-30763-9_15.pdf
ResearchGate: https://www.researchgate.net/publication/336500442_Predicting_Personality_Traits_from_Social_Network_Profiles
RUDN University. Repository: https://repository.rudn.ru/en/records/article/record/55517/
Semantic Scholar: https://api.semanticscholar.org/CorpusID:210584853
Stankevich M., Latyshev A., Kiselnikova N., Smirnov I. Predicting Personality Traits from Social Network Profiles // Russian Conference on Artificial Intelligence. – Springer, Cham, 2019. – pp. 177-188.