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Predicting Psychology Attributes of a Social Network User

Author

Listed:
  • Khayrullin, Rustem M.
  • Makarov, Ilya
  • Zhukov, Leonid E.

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.

Suggested Citation

  • Khayrullin, Rustem M. & Makarov, Ilya & Zhukov, Leonid E., 2017. "Predicting Psychology Attributes of a Social Network User," MPRA Paper 82810, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:82810
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    More about this item

    Keywords

    Social Networks; Machine Learning; Psychology; Big Five Personality; Shwartz Human Values;
    All these keywords.

    JEL classification:

    • D71 - Microeconomics - - Analysis of Collective Decision-Making - - - Social Choice; Clubs; Committees; Associations
    • Z13 - Other Special Topics - - Cultural Economics - - - Economic Sociology; Economic Anthropology; Language; Social and Economic Stratification

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