id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-353306-hwwswvi3	Zhu, Bangren	Analysis of spatiotemporal characteristics of big data on social media sentiment with COVID-19 epidemic topics	2020-07-17		.txt	text/plain	4576	284	57	COVID-19 blocked Wuhan in China, which was sealed off on Chinese New Year's Eve. During this period, the research on the relevant topics of COVID-19 and emotional expressions published on social media can provide decision support for the management and control of large-scale public health events. The research assisted the analysis of microblog text topics with the help of the LDA model, and obtained 8 topics ("origin", "host", "organization", "quarantine measures", "role models", "education", "economic", "rumor") and 28 interactive topics. At the same time, the discussion rate of epidemic topics gradually weakens; (3) The political and economic center is an area where social media is highly concerned. The spatial division of the number of Weibo social media texts has a high correlation with the economic zone division; (4) The existence of the topic of "rumor" will enable people to have more communication and discussion.	./cache/cord-353306-hwwswvi3.txt	./txt/cord-353306-hwwswvi3.txt