Abstract Peer-to-peer (P2P) lending is a market with significant growth in recent years. We
review the academic literature published during the last decade on P2P lending to identify …

In the field of natural language processing and text mining, sentiment analysis (SA) has
received huge attention from various researchers' across the globe. By the prevalence of …

Credit risk assessment plays an important role in efficient and safe banking decision-
making. Many studies have been conducted to analyze credit scoring with a focus on …

This study examines significant topics and customer sentiments conveyed in reviews of P2P
lending applications (apps) in India by employing topic modeling and sentiment analysis …

Abstract Peer-to-peer (P2P) lending is a fintech innovation that provides loans to individuals
and businesses without the need for additional intermediaries. However, if the borrower fails …

Borrowers' default is the main risk of online lending. Using credit scoring model to assess
borrowers' credit is an important means to reduce default risk. The existing related work …

We propose a comprehensive profit-sensitive approach for credit risk modeling in P2P
lending for small businesses, one of the most financially complex segments. We go beyond …

This paper presents a detailed review of the existing literature on peer-to-peer (P2P) energy
trading considering market architectures, trading strategies, and enabling technologies. P2P …

Peer-to-peer (P2P) lending systems have gained governments' attention to create an
inclusive society, but establishing such systems remain challenging. Specifically, the …

Risk control has always been a major challenge in finance. Overdue repayment is a
frequently encountered discreditable behavior in online lending. Motivated by the powerful …