id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
fcis-6021	Sun, Lin	Multimodal Emotion Recognition and Fluctuation: A Study on Sentiment Analysis of Online Public Opinion	2023	4	.pdf	application/pdf	3291	155	40	Conclusion Starting from the application value and challenges of sentiment analysis, this paper comprehensively analyzes the main steps and research methods of sentiment analysis and summarizes multimodal sentiment recognition methods suitable for analyzing public opinion in different forms, broadening research scope and the range of raw data that can be processed. For example, Pang and Lee et al. (2002) pioneered the application of machine learning to text sentiment analysis, comparing the effectiveness of different machine learning methods of Support Vector Machine, Naive Bayes, and Maximum Entropy for sentiment classification, and concluded that Support Vector Machine classifiers are best out of three.	cache/fcis-6021.pdf	txt/fcis-6021.txt