Data Mining Techniques from Social Media and Credit Card Risk Scoring Model “An Empirical Study on the Jordanian Commercial Banks”

This paper examines the effectiveness of adopting technological tool along with social media data to classify customers into low, medium and high-risk categories for both existing and potential clients
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by using credit card risk scoring technique in Jordanian commercial banks. The data for the retail bank clients covers the period 2010 - 2019 keeping out the data before Covid-19 pandemic to enhance the precision of model predictiveness. The research conducts mixed methods approach of quantitative and qualitative data analysis to address the data mining methods in banking work environment. Moreover, identifying the distinguishing between the anticipated model against the traditional technique taking into consideration the ethical aspect of integrating between social networks data along with financial data. In addition to that the study may reveal the cooperation between banks and other parties for creating the convenient input from the acquired data needed for building the model and highlighting further researches and recommendations.