Detecting drugs and adverse events from Spanish social media streams

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 goldstandard 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.