Predicting Psychology Attributes of a Social Network User

Rustem M. Khayrullin, Ilya Makarov and Leonid E. Zhukov

MPRA Paper from University Library of Munich, Germany

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.

Keywords: Social Networks; Machine Learning; Psychology; Big Five Personality; Shwartz Human Values (search for similar items in EconPapers)
JEL-codes: D71 Z13 (search for similar items in EconPapers)
Date: 2017-09-17
New Economics Papers: this item is included in nep-big, nep-cbe and nep-ict
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Published in CEUR Workshop Proceeding Experimental Economics and Machine Learning.1968(2017): pp. 2-8

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Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:82810

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