Opinion Mining of Islamic Financial Technology Providers: An NLP Approach

Abstract

This paper aims to investigate users' opinions regarding Islamic Fintech services providers. The paper adopted the secondary data available in the form of published papers in research journals along with the Fintech users reviews posted on different Fintech applications on Google Play Store for achieving the paper objectives. The paper also focused on research papers centered on opinion mining of Islamic fintech. The analysis highlighted seven relevant papers, revealing positive, neutral, and negative sentiments on various social media platforms. Further, the data collected from the Google App Store on Islamic fintech apps analyzed for sentiment polarity employing an NLP approach. The results show that 83.1% of users have positive sentiments, 2.0% have negative sentiments, and the remaining 14.1% are neutral. The research paper proposed that future studies utilize technology acceptance models to understand why consumers have varying sentiments about Islamic fintech.