Application of Some Retrieved Information Method on Internet
نویسندگان
چکیده
This paper compares several methods of information extraction on the internet. Today, internet has become a treasure of knowledge. Every year, thousands of pieces of different information are posted on the internet. So, extracted information on the internet for many different purposes has become an important problem today. Users may extract information based on some available tools such as Lapis, Risk, Rapier, Wien, and Stalker... However, these tools have a disadvantage: we must update the training data when the website changes. So SVM and CRF associated with natural language processing are the best solutions to solve this problem. Information extraction from online Vietnamese news website with SVM and CRF brings experiment results that is very optimistic. Its results reach nearly 90% of the accuracy in websites and the processing time is less than one minute per site when the specified number of link levels is 1 within the base site.
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