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Deep Learning for Financial Fraud Detection by pvtvinay is a document available to read on EtoBox.

What is Deep Learning for Financial Fraud Detection about?

This document presents research on using deep learning models to detect financial statement fraud for Chinese listed companies. It constructs a system using numerical features from financial statements and textual features from management discussion sections of annual reports. Deep learning models including LSTM and GRU are tested on a dataset of over 5,000 Chinese company reports and achieve fraud detection rates over 94%, outperforming traditional machine learning methods. The research aims to develop an

Author

pvtvinay

Language

EN