Fintech Sentiment Analysis Using Deep Learning Approaches: A Survey

Abstract

The number of consumers who are eager to use mobile financial services for their daily financial activities has increased dramatically thanks to fintech (financial technology). The success of these applications is highly dependent on user feedback. Sentiment analysis is a powerful tool for learning about users' opinions towards various applications, including fintech services. Recent studies have shown that deep learning models offer a potential way to address the difficulties in sentiment analysis. This study provides a comprehensive study of the latest deep learning approaches applied for sentiment analysis in the financial sector. The aim of this study is to give scholars and academics a broad perspective on using deep learning approaches for fintech sentiment analysis. This paper additionally summarizes deep learning methods, their advantages and disadvantages, and recent challenges associated with sentiment analysis in fintech.