User Activity Classification and Domain-Wise Ranking Through Social Interactions

2. Background

Twitter is not only utilized for communication and opinion sharing but also considered as a source of recommendation systems and promotion activities. In such cases, finding the users interested in the concerned field or domain is very evident, and boosting the effectiveness of the recommendations and promotions. User's categorization based on their interests will help this cause and limit the targeted users from the huge user base of Twitter. Predicting the behavior and interests of web users is an evolving area of research, and it is a very challenging task to reliably classify users among various categories (Rahman et al., 2019). User behavior classification, profiling, modeling, and prediction for various use cases in different domains, such as commerce, banking, trend analysis, education, medicine, etc., are the hottest area of research in the data analytics field (Sawita Yousukkee, 2016).