id	author	title	date	pages	extension	mime	words	sentence	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	4578	219	52	Obtain data through crawler tools, with the help of big data technology, social media topics and emotional change characteristics are analyzed from spatiotemporal perspectives. Through the analysis of media information, it helps relevant decision makers to grasp social media topics from spatiotemporal characteristics, so that relevant departments can accurately grasp the public's subjective ideas and emotional expressions, and provide decision support for macro-control response strategies and measures and risk communication.	cache/cord-353306-hwwswvi3.txt	txt/cord-353306-hwwswvi3.txt
