Qiong Wang

Financial distress prediction based on deep learning and multisource data fusion

Experimental results show that inputting multi-type feature data significantly improves the accuracy of financial distress prediction, especially when the annual report text data is included, which leads to a notable improvement in both prediction accuracy and recall rate.