Mining Trends in Texts on the Web
نویسندگان
چکیده
From online news and blog articles, a human can often deduce information and knowledge needed for the prediction of market movements or sociological trends. However, this recognition and comprehension process is very complex and requires experience as well as some context knowledge about the domain in which trends are to detect. In order to support human experts in trend analysis, I propose an automatic trend mining method based on knowledge integrating learning approach.
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