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DEEP LEARNING APPROACH FOR ASSESSING CREDIT RISK
DEEP LEARNING APPROACH FOR ASSESSING CREDIT RISK
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机译:评估信用风险的深度学习方法
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摘要
Systems and methods to facilitate credit risk assessment are described here-in. The systems and methods described herein relate to implementing and training a credit risk model comprising a document model and a company model. The document model may be configured to read text of a document, understand long range relationships between words, phrases, and the occurrence of one or more financial events, and create a document score that indicates whether the financial events are likely to occur based on that document. A document-model-state vector may be generated that represents important features and relationships identified within each document and across a set of documents for a given entity based on the document scores. The company model may produce a sequence of default probability scores representing overall likelihoods of the occurrence of the financial events for an entity based on the document-model-state vector for documents associated with that entity.
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