The Application of Media Coverage in Financial Fraud Warning—Based on Bayesian Optimized LightGBM Model Construction and Empirical Research

Main Content

This paper utilizes text mining and natural language processing techniques, and constructs a financial distress prediction model for listed companies using LightGBM, with parameters optimized by Bayesian methods. The results show that after incorporating financial fraud sentiment text data, the model's prediction accuracy improves following Bayesian optimization.