Research and design of system on monitoring and analyzing the internet information for food safety
2012
For the actual demand on
food safety
emergency management, this paper researches some key techniques such as web page
crawlingthat collects subject-related and timely information, the
deceptive
spamopinion identification which based on the machine learning method of “learning from positive and unlabeled examples”, the
food safetyincidents'
information extractionand warning which based on the ontology and so on. On the basis above, this paper researches and designs the system on monitoring and analyzing the Internet information for
food safety, and the system prototype has been achieved.
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