NIH VideoCast - Text Mining and Natural Language Processing: 1) COVID-SEE: Enabling scientific evidence exploration through semantics in a time of crisis 2) Open Health Natural Language Processing for Clinical and Translational Research

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Text Mining and Natural Language Processing: 1) COVID-SEE: Enabling scientific evidence exploration through semantics in a time of crisis 2) Open Health Natural Language Processing for Clinical and Translational Research

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Air date:	Thursday, January 28, 2021, 4:00:00 PM Time displayed is Eastern Time, Washington DC Local
Views:	Total views: 202 (87 Live, 115 On-demand)
Category:	Special
Runtime:	01:01:51
Closed captioning:	Check box to display CC outside of the video Note: You can drag the captioning window around and resize it
Description:	NIH Text Mining and Natural Language Processing SIG Lecture COVID-SEE: Enabling scientific evidence exploration through semantics in a time of crisis Open Health Natural Language Processing for Clinical and Translational Research: A case demonstration through COVID-19

NLM Title:	Text mining and natural language processing.
Author:	Verspoor, Karin. Liu, Hongfang. National Institutes of Health (U.S.). Text Mining and Natural Language Processing (NLP) Scientific Interest Group,
Publisher:
Abstract:	LitCovid is a curated literature hub for tracking up-to-date scientific information about the 2019 novel Coronavirus. It is the most comprehensive resource on the subject, providing a central access to 68,421 (and growing) relevant articles in PubMed. The second lecture explains the use of natural language processing in translational medical research.
Subjects:	COVID-19 Databases, Bibliographic Natural Language Processing Systematic Reviews as Topic Translational Medical Research
Publication Types:	Lecture Webcast

NLM Classification:	WC 506
NLM ID:	101775943
CIT Live ID:	41411
Permanent link:	https://videocast.nih.gov/watch=41411

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