Research on Enterprise Financial Text Mining and Risk Management System Based on BERT

Rahul Mehta; Jiajia Chew; Xiangang Wei; Emily Saunders; Xu Zhu; Chao Zhang

doi:10.54097/8gady844

Authors

Rahul Mehta
Jiajia Chew
Xiangang Wei
Emily Saunders
Xu Zhu
Chao Zhang

DOI:

https://doi.org/10.54097/8gady844

Keywords:

BERT, Financial text mining, Risk early warning, Multi-source fusion, Natural language processing

Abstract

Enterprise financial risk management urgently needs innovative technical support to improve the early warning capability. This study constructs a financial text mining and risk management system based on BERT, which realises automatic identification, assessment and early warning of enterprise financial risk through domain adaptive fine-tuning and multi-source text fusion technology. The experiment proves that the system significantly improves the risk identification accuracy and warning timeliness, and reduces the false alarm rate. The system shows good performance in practical application, provides timely and reliable risk warning information for enterprises, and is of great value to enhance the level of enterprise financial risk management.

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