id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
fbem-1048	Zhang, Yutong	Sentiment Analysis and Personalized Recommendations Based on JD.com Reviews	2022	4	.pdf	application/pdf	2569	127	55	The calculation method is intuitive, pti=nti/n, where nti represents the number of words in d corresponding to the ith topic, and n is the total number of all words in d. (4) For each topic in T, the probability of generating different words φt<pw1,…,pwm>, where pwi represents the probability that t generates the i-th word in VOC. For example, users who dislike will publish some negative words, while users who like them will have positive words.	cache/fbem-1048.pdf	txt/fbem-1048.txt