Ep15 - NLP For Adverse COVID-19 Event Detection with Enrico Santus
Description
In this episode, we are joined by Enrico Santus, a Data Science Leader in Pharmacovigilance at Bayer.
Enrico talks about his project that uses NLP to detect adverse events on Twitter. We discuss how he developed this project as a way to measure sentiment surrounding the COVID-19 pandemic. Also, breakdown how using such a large pool of data like Twitter can come with its own challenges including the influence and proliferation of fake news.
Finally, Enrico and I think about what the future has in store for Healthcare and how AI/ML will undoubtedly play an influential role!
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