Mining Semantic Soft Factors for Credit Risk Evaluation in Peer-to-Peer Lending-Reference-Cited by-同舟云学术

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Mining Semantic Soft Factors for Credit Risk Evaluation in Peer-to-Peer Lending

Published:2020-01-02 Issue:1 Volume:37 Page:282-308
ISSN:0742-1222
Container-title:Journal of Management Information Systems
language:en
Short-container-title:Journal of Management Information Systems

Author:

Wang Zhao¹,Jiang Cuiqing¹²,Zhao Huimin³,Ding Yong¹

Affiliation:

1. School of Management, Hefei University of Technology, Hefei, Anhui, P.R. China

2. Laboratory of Process Optimization and Intelligent Decision-making, Ministry of Education, Hefei, Anhui, P.R. China

3. Sheldon B. Lubar School of Business, University of Wisconsin-Milwaukee, Milwaukee, WI, USA

Publisher

Informa UK Limited

Subject

Information Systems and Management,Management Science and Operations Research,Computer Science Applications,Management Information Systems

Link

https://www.tandfonline.com/doi/pdf/10.1080/07421222.2019.1705513

Reference46 articles.

1. A comparative study on base classifiers in ensemble methods for credit scoring

2. Arabic Text Classification Algorithm using TFIDF and Chi Square Measurements

3. Benchmarking state-of-the-art classification algorithms for credit scoring

4. A Theory of Hard and Soft Information

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1. A hierarchical attention-based feature selection and fusion method for credit risk assessment;Future Generation Computer Systems;2024-11

2. P2P credit risk management with KG-GNN: a knowledge graph and graph neural network-based approach;Journal of the Operational Research Society;2024-09-14

3. Gaining a Seat at the Table: Enhancing the Attractiveness of Online Lending for Institutional Investors;Information Systems Research;2024-04-05

4. Predicting financial distress using current reports: A novel deep learning method based on user-response-guided attention;Decision Support Systems;2024-04

5. Public Perception of Online P2P Lending Applications;Journal of Theoretical and Applied Electronic Commerce Research;2024-03-01

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