Predicting Psychology Attributes of a Social Network User

Khayrullin, Rustem M. and Makarov, Ilya and Zhukov, Leonid E. (2017): Predicting Psychology Attributes of a Social Network User. Published in: CEUR Workshop Proceeding , Vol. 1968, No. Experimental Economics and Machine Learning (28 October 2017): pp. 2-8.

Abstract

Nowadays, the number of people using social network site increases every day. The social networking sites, such as Facebook or Twitter, are sources of human interaction, where users are allowed to create and share their activities, thoughts and place di erent information about themselves. However, most of this information remains unnoticed. In this work, we propose a machine learning approach to predict Big-Five personality using information from users accounts from the social network. The predictions can be used in di erent areas such as psychology, business, marketing.

• Item Type: MPRA Paper
• Language: English
• Keywords: Social Networks, Machine Learning, Psychology, Big Five Personality, Shwartz Human Values
• Subjects: D - Microeconomics > D7 - Analysis of Collective Decision-Making > D71 - Social Choice ; Clubs ; Committees ; Associations; Z - Other Special Topics > Z1 - Cultural Economics ; Economic Sociology ; Economic Anthropology > Z13 - Economic Sociology ; Economic Anthropology ; Social and Economic Stratification

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