Fooding
Study attempts food safety surveillance through text mining
7 days ago | By Food Safety News
Researchers are using text mining and supervised machine learning to try and identify unique words and phrases in online posts that identify consumers' interactions with hazardous food products.
The team of scientists from San Diego State University, Virginia Tech, Loyola Marymount University and Radford University, say they hope this will provide a practical and inexpensive means for rapidly monitoring food safety in real time.
These methods were used with a compiled data set of labeled consumer posts spanning two major websites. The researchers then compared their methods to traditional...
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