Following tweets from restaurant patrons could help monitoring food safety at dining establishments, say University of Rochester researchers.

Reports of food poisoning symptoms following a restaurant visit can deter many others going to such places. The system is a blend of machine-learning and crowd sourcing techniques which is capable of analyzing millions of tweets to give specific information.
"The Twitter reports are not an exact indicator -- any individual case could well be due to factors unrelated to the restaurant meal -- but in aggregate the numbers are revealing," researchers said.
The system is able to spot visits to restaurants and match up where a person tweets from on a GPS-enabled mobile device that connects it to known locations of restaurants.
Source-Medindia
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