Credit Risk Evaluation Based on Text Analysis

Shuxia Wang, Yuwei Qi, Bin Fu and Hongzhi Liu
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Shuxia Wang: Beijing Institute of Petrochemical Technology, Beijing, China
Yuwei Qi: Peking University, Beijing, China
Bin Fu: Peking University, Beijing, China
Hongzhi Liu: Peking University, Beijing, China

International Journal of Cognitive Informatics and Natural Intelligence (IJCINI), 2016, vol. 10, issue 1, 1-11

Abstract: The main difficulty of credit risk evaluation is to evaluate borrowers' willingness of repayment, which is a subjective factor depending on the thoughts and ideas of borrowers. Text description is a kind of human behavior which reflects the mental process of writers. The authors identify the characteristics of borrowers from their text descriptions and further use them to evaluate the credit risk of loans. Experimental results show that: (1) textual information is a good choice when traditional financial information is missing. The authors can achieve similar accuracy using only textual information as traditional methods which use financial information and credit information from the third party. (2) Textual information is a good complementary information source to traditional financial information sources. Using textual information can improve the performance of credit risk evaluation system when combined with traditional financial information.

Date: 2016
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