شخصیت‌شناسی در شبکه‌های اجتماعی با استفاده از مدل‌سازی موضوعی نظرات کاربران

خسروی, آرش; عبدالحسینی, حمیدرضا

doi:10.22052/scj.2023.243197.1006

شخصیت‌شناسی در شبکه‌های اجتماعی با استفاده از مدل‌سازی موضوعی نظرات کاربران

نوع مقاله : مقاله پژوهشی

نویسندگان

¹ گروه مهندسی کامپیوتر، دانشکده مهندسی، مرکز آموزش عالی محلات، محلات، ایران

² گروه مهندسی کامپیوتر، دانشگاه شهاب دانش، قم، ایران

10.22052/scj.2023.243197.1006

چکیده

شخصیت فرد مجموعه‌ای از خصوصیات و واکنش‌های فرد است که موجب ایجاد رفتار فرد در موقعیت‌های گوناگون می‌شود. به طور معمول این رفتارها در موقعیت‌های مشابه تکرار می‌شوند. داشتن اطلاعات در مورد شخصیت فرد، این امکان را به ما می‌دهد که واکنش فرد را در موقعیت‌های مشابه پیش‌بینی کنیم. از طرفی با توجه به اینکه افراد در شبکه‌های اجتماعی مجازی نظارت مستقیمی بر نظرات خود احساس نمی‌کنند، استفاده از این شبکه‌ها جهت جمع‌آوری اطلاعات و تحلیل شخصیت افراد بسیار قابل توجه و منطقی است. در این مقاله، با دریافت نظرات کاربران از شبکه‌های اجتماعی و مقایسه آن با پرسشنامه پر شده توسط افراد، میزان درستی پاسخ‌گویی به سوال‌های پرسشنامه را محک می‌زنیم و به گونه‌ای دقیق‌تر به تحلیل شخصیت کاربران می‌پردازیم. با پردازش نظرات کاربران توسط روش‌های هوشمند متن‌کاوی و استفاده از یادگیری ماشین تلاش شده است که شخصیت کاربران پیش‌بینی شود. در نهایت، در هر چهار روش از روش‌های الگوریتم SVM و همچنین روش شبکه عصبی عمیق، معیارهای درستی، دقت و بازخوانی به نسبت بسیار خوبی بالا بودند (بین 0.75 تا 0.99) و این حاکی از مطابقت بالای نظرات جمع‌آوری شده از طریق پرسشنامه با پست‌های منتشرشده در فضای مجازی همان اشخاص می‌باشد.

کلیدواژه‌ها

عنوان مقاله [English]

Personality in social networks using thematic modelling of user feedback

نویسندگان [English]

Arash Khosravi ¹
Hamidreza Abdolhosseini ²

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

چکیده [English]

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.

کلیدواژه‌ها [English]

Social network
Personality
Data mining
Thematic modeling
Deep neural network
SVM

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