Discovering key topics from short, real-world medical inquiries via natural language processing and unsupervised learning

Angelo Ziletti, Christoph Berns, Oliver Treichel +8

Millions of unsolicited medical inquiries are received by pharmaceutical companies every year. It has been hypothesized that these inquiries represent a treasure trove of informati…