id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-130198-pyg81vwb	Tabak, Tom	Temporal Mental Health Dynamics on Social Media	2020-08-30		.txt	text/plain	6285	328	50	Conducting mental health diagnosis tasks on social media data presents its own set of challenges: The users' option of conveying a particular public persona posts that may not be genuine; sampling from a sub-population that is either technologically savvy, which may lend to a generational bias, or those that can afford the financial cost of the technology, which may lead to a demographic bias. Therefore, the ability to accurately identify Diagnosed samples and correctly discriminate between Control and Diagnosed with the least tweet-enriched samples will be vital in modelling a fine-grained rate of depression in the deployment stage of the final task where conclusions could be drawn in the context of the national lockdowns. The experiment dataset is used for the deployment of the classifier, which is trained and validated on the development set, to analyse the temporal mental health dynamics of a country.	./cache/cord-130198-pyg81vwb.txt	./txt/cord-130198-pyg81vwb.txt