Research on the Development of Financial Fraud Application Tool Based on Machine Learning of Financial Report Text Data Mining

Authors

  • Lin Li, Huaming Wu, Yuan Yuan, Yuru Hu

Abstract

China's capital market development has made great achievements, but the development has also produced a number of issues of great concern, which is more serious, and is the existence of a large number of financial reporting fraud problems of listed companies. Because the securities market does not have the ability to identify the authenticity of the financial report text data, and the financial fraud information has a certain survival soil. To this end, this paper constructs a machine learning model and data mining algorithm, and designs a financial report text data mining forecasting financial fraud application tool development method based on machine learning. After typical sample data verification, the application tool can effectively interpret and identify financial report text. The data has a good reference value for improving the early warning, discovery and prevention capabilities of financial fraud in China's capital market.

Published

2020-04-30

Issue

Section

Articles