Using AI to mine unstructured research papers to fight COVID-19

Created by Mudabir Qamar Ansari, Modified on Sun, 13 Dec, 2020 at 2:35 PM by Mudabir Qamar Ansari

In this session, we take an open dataset of research papers on COVID-19 and apply several machine learning techniques (name entity recognition of medical terms, finding semantically similar words, contextual summarization, and knowledge graphs) which can help first responders and medical professionals better find and make sense of the research they need. We will dive into the techniques used and share code samples, so developers will walk away with the understanding of how to build a similar solution using Cognitive Search.

For more tips like this, check out the working remotely playlist at www.youtube.com/FoetronAcademy. 

 

Also, if you need any further assistance then you can raise a support ticket (https://cloud.foetron.com/) and get it addressed.

Was this article helpful?

That’s Great!

Thank you for your feedback

Sorry! We couldn't be helpful

Thank you for your feedback

Let us know how can we improve this article!

Select at least one of the reasons
CAPTCHA verification is required.

Feedback sent

We appreciate your effort and will try to fix the article