id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
fcis-31919	Song, Sirui	Deep Learning-Driven Text Sentiment Analysis: Research Progress, Challenges, and Future Trends in the Past Five Years	2025	3	.pdf	application/pdf	2745	148	40	Since 2020, with intensive exploration conducted by academia, the EAAF has quantified the reliability of domain knowledge, cutting the cross-domain performance gap between medical and e-commerce areas down from 10% to 4.2%, whereas the accuracy of irony recognition with structured sentiment analysis model exceeds 75% [5,6]. Abstract: Text sentiment analysis has developed from a single text classification task into a complex multimodal fusion system that can achieve cross-scenario sentiment understanding with the help of deep learning technology.	cache/fcis-31919.pdf	txt/fcis-31919.txt