Machine learning takes on food poisoning in Las Vegas

Dive Brief:University of Rochester computer science researchers developed an app that uses natural language processing and artificial intelligence to track tweets related to complaints of food poisoning.  The researchers, supported by the National Science Foundation, showcased their research at an Artificial Intelligence conference in February. They used the app to connect Tweets to specific restaurants using geotagging and then reported them to the Las Vegas health department. The Las Vegas health department recently tested the app, called nEmesis, to help improve the city’s health inspection system. Dive Insight: nEmesis automatically scanned thousands of tweets each day using AI algorithms to find those containing specific terms associated with an illness. They then zeroed in on the Tweets that pointed to a specific restaurant and generated a list of high-priority locations for inspections. Use of nEmesis…

Link to Full Article: Machine learning takes on food poisoning in Las Vegas

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