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. 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) and this indicates the high correspondence of the opinions collected through the questionnaire with the posts. Published in cyberspace are the same people.
Khosravi, A., & Abdolhosseini, H. (2023). Personality in social networks using thematic modeling of user feedback. Soft Computing Journal, (), -. doi: 10.22052/scj.2023.243197.1006
MLA
Arash Khosravi; Hamidreza Abdolhosseini. "Personality in social networks using thematic modeling of user feedback". Soft Computing Journal, , , 2023, -. doi: 10.22052/scj.2023.243197.1006
HARVARD
Khosravi, A., Abdolhosseini, H. (2023). 'Personality in social networks using thematic modeling of user feedback', Soft Computing Journal, (), pp. -. doi: 10.22052/scj.2023.243197.1006
VANCOUVER
Khosravi, A., Abdolhosseini, H. Personality in social networks using thematic modeling of user feedback. Soft Computing Journal, 2023; (): -. doi: 10.22052/scj.2023.243197.1006
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