id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
fbem-31301	Wang, Jing	Construction and Empirical Analysis of Corporate Financial Crisis Early Warning Model under the Perspective of Multimodal Data Fusion	2025	5	.pdf	application/pdf	3364	150	37	In this study, we use deep learning technology to design a multimodal data fusion architecture and construct a corporate financial crisis early warning model that includes financial data, text information and market transaction data. Comparative experimental design scheme for financial crisis early warning models Model Type Input Data Feature Dimension Model Structure Computational Complexity Altman Z-Score Financial Indicators 5 Linear Discriminant O(n) Logistic Regression Financial Indicators 20 Probabilistic Regression O(n) Single-Modal Deep Learning Financial Data 180 CNN+LSTM O(n²) Dual-Modal Fusion Financial+Text 348 Two-Stream Network O(n²) Multi-Modal Fusion Financial+Text+Transaction 434 Transformer O(n²) 5.2.	cache/fbem-31301.pdf	txt/fbem-31301.txt