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system aims to detect and extract food hazard event from the live data shared on the Web. We defined information template for food hazard event. Then we used the template to extract informative keywords from the website of Ministry of Food and Drug Safety, the governmental organization responsible for ensuring food safety
news and social media, extract events related to food hazards, and then organize the data in a structured format for easy consumption. We define an information template for food hazard event based on data from the Korean Ministry of Food and Drug Safety (MFDS), and use the template to aggregate informative keywords from
during pregnancy among young women. Methods Facebook posts were mined from young women ages 16 to 24 during pregnancy who were consented from two Midwest primary care clinics serving low-income communities. Natural language processing was used to identify posts related to weight gain, exercise and diet by keyword
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