id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
cord-189256-72eumkal	Santosh, Roshan	Detecting Emerging Symptoms of COVID-19 using Context-based Twitter Embeddings	2020-11-08		.txt	text/plain	2871	117	48	In this study, we present an iterative learning approach to generate such a master list of COVID-19 symptoms, using the identification of words matching a specific symptom context. A high k may be chosen to yield the subset of COVID-19 symptoms that are more robustly associated with the disease, at the cost of missing infrequent (albeit potentially specific) disease markers.	cache/cord-189256-72eumkal.txt	txt/cord-189256-72eumkal.txt
