Personality in social networks using thematic modelling of user feedback

Document Type : Original Article

Authors

1 Department of Computer Engineering, Faculty of Engineering, Mahallat Institute of Higher Education, Mahallat, Iran

2 Department of Computer Engineering, Shahab Danesh University, Qom, Iran

Abstract

A person's personality is a set of characteristics and reactions that cause a person to behave in different situations. Usually, these behaviors are repeated in similar situations. Having information about a person's personality allows us to predict a person's reaction in similar situations. On the other hand, considering that people in virtual social networks do not feel direct control over their opinions, using these networks to collect information and analyze people's personalities is very significant and logical. In this article, by receiving information from users 'social networks and comparing it with a questionnaire filled in by individuals, we test the correctness of answering the questionnaire questions and analyze users' personalities in a more accurate way.  By analyzing users' opinions through intelligent text mining techniques and machine learning, we aim to predict the personality of users. Finally, in all four methods of the SVM algorithm as well as the deep neural network method, the criteria of accuracy, accuracy, and readability were relatively high (between 0.75 and 0.99), indicating the high correspondence of the opinions collected through the questionnaire with the posts. Published in cyberspace are the same people.

Keywords

References

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History

  • Receive Date: 16 October 2021
  • Revise Date: 16 January 2023
  • Accept Date: 07 March 2023

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