Determining the interests of Social Network Users
Автор: Irada Y. Alakbarova
Журнал: International Journal of Education and Management Engineering @ijeme
Статья в выпуске: 4 vol.13, 2023 года.
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The article is devoted to a brief review of approaches to the analysis of social relations in social networks using comments and credentials located in the profiles of social network users. The study aims to determine the interest and behavior of each user. The approach that we propose to determine the interests of social network users requires some methods of machine learning (classification analysis and data clustering). A method based on sentiment analysis and a naive Bayesian classifier is proposed. Determining the interests of social network users based on the intellectual analysis of comments can help to understand the logic of their behavior, and determine social relations between users and problems in society.
Social Networks, Big Social Data, Data Mining, Machine Learning, Naive Bayes Classifier, Ranking of Actors
Короткий адрес: https://sciup.org/15018665
IDR: 15018665 | DOI: 10.5815/ijeme.2023.04.01
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