The nEmesis app cross references food poisoning cases with restaurant coordinates to rate their level of food safety.

Researchers at the University of Rochester developed an app called nEmesis that searches through Twitter and identifies possible cases of food poisoning.

The app takes GPS data that is accessible via Twitter’s API and cross references that with the coordinates of restaurants. The app tags related users and follows that user around for 72 hours and analyzes their tweets for signs of food poisoning symptoms like vomiting, abdominal pain, fever and chills. The system watches out for tweets that contain keywords like “threw up” and “tummy ache.”

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