Food poisoning in Las Vegas? Not if this machine-learning algorithm can help it

By scanning social media, the app can find likely hot spots The nEmesis app collected tweets in Las Vegas and evaluated them to find cases of food poisoning. Credit: Adam Sadilek, University of Rochester IDG News Service Mar 8, 2016 11:20 AM Food poisoning can strike anywhere hygiene standards are lax, but researchers have developed a new app that uses machine learning to help minimize the number of people affected. One out of every six U.S. residents gets food poisoning each year, and when they do, many of them write about it on Twitter. That’s where nEmesis comes in. Developed by computer-science researchers from the University of Rochester, the software uses natural language processing and artificial intelligence to identify food poisoning-related tweets, connect them to restaurants using geotagging and identify likely…


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