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tweets about food illness overlaying a cityscape
Science & Technology
August 8, 2013 | 06:59 pm

Tracking Tweets to Enhance Food Safety

The system combines machine-learning and crowdsourcing techniques to analyze millions of tweets to find people reporting food poisoning symptoms following a restaurant visit.

topics: Adam Sadilek, data science, Department of Computer Science, Hajim School of Engineering and Applied Sciences, Henry Kautz, public health, research finding, social media,