id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-316990-kz9782rj	Han, Xuehua	Using Social Media to Mine and Analyze Public Opinion Related to COVID-19 in China	2020-04-17		.txt	text/plain	8473	409	51	A secondary classification was implemented to divide "personal response", "opinion and sentiments", and "seeking help" into 13 more detailed sub-topics, including "fear and worry", "questioning the government and media", "condemning bad habits", "objective comment", "taking scientific protective measures", "blessing and praying", "appealing for aiding patients", "willing to return work", "staying at home and taking necessary precautions", "popularizing anti-epidemic knowledge in family", "seeking medical help", "seeking relief materials", and "other". Figure 5b shows the spatial distribution of the kernel density with a search radius of 200 km, indicating that the high-density areas of Weibo related to COVID-19 were in Wuhan In order to explore the correlation between public opinion and the epidemic situation, this study used Statistical Product and Service Solutions (SPSS Inc., Chicago, IL, USA) software to perform Spearman correlation analysis on the number of relevant Weibo texts and confirmed cases in provincial level (number is 34).	./cache/cord-316990-kz9782rj.txt	./txt/cord-316990-kz9782rj.txt