Predicting Personality Traits from Social Network Profiles

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. © Springer Nature Switzerland AG 2019.

Авторы
Stankevich M. 1 , Latyshev A.2 , Kiselnikova N.3 , Smirnov I. 1, 4
Сборник материалов конференции
Издательство
Springer Verlag
Язык
Английский
Страницы
177-188
Статус
Опубликовано
Том
1093
Год
2019
Организации
  • 1 Federal Research Center “Computer Science and Control”, RAS, Moscow, Russian Federation
  • 2 Limited Liability Company “RI Technologies”, Moscow, Russian Federation
  • 3 Psychological Institute, Russian Academy of Education, Moscow, Russian Federation
  • 4 Peoples’ Friendship University of Russia (RUDN University), Moscow, Russian Federation
Ключевые слова
Machine learning; Personality traits; Social media
Дата создания
24.12.2019
Дата изменения
24.12.2019
Постоянная ссылка
https://repository.rudn.ru/ru/records/article/record/55517/