Detecting drugs and adverse events from Spanish health social media streams

摘要

To the best of our knowledge, this is the first work that does drug and adverse event detection from Spanish posts collected from a health social media. First, we created a gold-standard corpus annotated with drugs and adverse events from social media. Then, Textalytics, a multilingual text analysis engine, was applied to identify drugs and possible adverse events. Overall recall and precision were 0.80 and 0.87 for drugs, and 0.56 and 0.85 for adverse events.