id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
fcis-15776	Xiong, Wei; Zuo, Yue; Zhang, Menglin; Zhang, Chenxi; Guo, Caiqing	Research on Sentiment Analysis of E-commerce Live Comments based on Text Mining	2024	3	.pdf	application/pdf	1879	82	37	However, with the rise of e-commerce live broadcasting, the comment information generated by a large number of users has also doubled, which contains rich emotional information.[1] The emotional information in e-commerce live comments carries consumers' attitudes and feelings towards products, services and shopping experience. In the field of e-commerce live broadcasting, sentiment analysis has become a research direction that has attracted much attention, providing profound user insight and commercial value for e-commerce enterprises.[4]A number of scholars have made positive contributions in this field, through various text mining techniques and sentiment analysis methods, in-depth research on the user emotion information contained in e-commerce live comments.	cache/fcis-15776.pdf	txt/fcis-15776.txt