Enterprise risk assessment system based on text mining

Abstract

With the impact of the epidemic, enterprise risk assessment has gradually become hot research. At present, enterprise risk assessment is still based on financial data, and there are few studies focusing on text type data. However, text type data has a certain impact on enterprise risks and will affect the overall development trend of enterprises. Therefore, how to build the enterprise risk assessment model and judge the current risk situation according to the text data is the main challenge faced in the current field of enterprise risk assessment. Based on the above problems, the enterprise risk assessment system based on text mining is designed to realize the enterprise risk trend judgment. Focus on the five aspects of the enterprise risk assessment system: first, obtain the corresponding evaluation data according to the enterprise risk assessment task, and build the corresponding database; second, build the enterprise risk assessment field knowledge base to provide knowledge support for the subsequent enterprise risk assessment; third, put forward the named entity identification algorithm for enterprise risk assessment; fourth, propose the relationship extraction algorithm for enterprise risk assessment; fifth, design the enterprise risk assessment model to realize the enterprise risk tendency judgment. Finally, the availability of the enterprise risk assessment system is verified based on the text type data of a particular enterprise.