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COVID+DS: Natural Language Processing and understanding the evolving COVID literature


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There has been an explosion of scientific literature on COVID-19 in the past several months with thousands of articles already available. In order to try to make sense of this quickly evolving literature, people have turned to data science and natural language processing tools to process the vast literature and find the most relevant articles. In this session, we will go through the basics of natural language processing, introduce the algorithmic foundation of these tools, and discuss how the same toolkit could be applied in diverse scenarios.

No prior knowledge of natural language processing is required, but a mild background on the basics of data analysis and neural networks will be assumed.

This session is part of the Duke+Data Science (+DS) program virtual series on COVID-19 + Data Science.

On the day before the session, all registrants will receive an e-mail with a link and meeting information.


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Status Archived
Date Tuesday, July 7th, 2020
Time 4:00pm - 5:00pm
Location Virtual Classroom
Leader David Carlson
Enrolled 269