id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-294304-9w6zt778	Doanvo, Anhvinh	Machine Learning Maps Research Needs in COVID-19 Literature	2020-09-16		.txt	text/plain	5506	283	50	The projection values of COVID-19 abstracts on PC2 were lower and associated with 11 emergent COVID-19 clinical-, modeling-or field-based (CMF) research -such as observational, 12 clinical, and epidemiological studies -exemplified by stem terms "patient", "pandem", "estim", 13 and "case". 14 Furthermore, we developed a framework that improves upon existing bibliometric studies 15 in three key ways; namely, our approach (1) maps connections between publications by relying 16 directly on the abstracts instead of the narrow information gained from metadata as in other 17 bibliometric analyses, including those from other fields 9,10 ; (2) uses ML to explore latent 18 semantic information of vast scale and complexity to identify hidden trends; and (3) does not 19 rely on any a priori knowledge of what topics we expect coronavirus literature to cover but 20 rather highlights them without any preconceived assumptions.	./cache/cord-294304-9w6zt778.txt	./txt/cord-294304-9w6zt778.txt