A Deep Learning Approach for Credit Scoring of Peer-to-Peer Lending Using Attention Mechanism LSTM
With the rapid development of the peer-to-peer lending industry in China, it has been a crucial task to evaluate the default risk of each loan. Motivated by the research in natural language processing, we make use of the online operation behavior data of borrowers and propose a consumer credit scori...
Main Authors: | Chongren Wang, Dongmei Han, Qigang Liu, Suyuan Luo |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2019-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/8579130/ |
Similar Items
-
A Deep Learning Based Online Credit Scoring Model for P2P Lending
by: Zaimei Zhang, et al.
Published: (2020-01-01) -
A Framework of Global Credit-Scoring Modeling Using Outlier Detection and Machine Learning in a P2P Lending Platform
by: Lu, N.-A, et al.
Published: (2022) -
Explainability of a Machine Learning Granting Scoring Model in Peer-to-Peer Lending
by: Miller Janny Ariza-Garzon, et al.
Published: (2020-01-01) -
Comparing Performance of Machine Learning Algorithms for Default Risk Prediction in Peer to Peer Lending
by: Yanka Aleksandrova
Published: (2021-02-01) -
A Novel Reject Inference Model Using Outlier Detection and Gradient Boosting Technique in Peer-to-Peer Lending
by: Yufei Xia
Published: (2019-01-01)