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Erschienen in:
2006 | OriginalPaper | Buchkapitel
Mining and Visualizing Local Experiences from Blog Entries
verfasst von : Takeshi Kurashima, Taro Tezuka, Katsumi Tanaka
Erschienen in: Database and Expert Systems Applications
Verlag: Springer Berlin Heidelberg
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We describe a way to extract visitors’ experiences from Weblogs (blogs) and also a way to mine and visualize activities of visitors at sightseeing spots. A system using our proposed method mines association rules between locations, time periods, and types of experiences out of blog entries. Association rules between experiences are also extracted. We constructed a local information search system that enables the user to specify a location, a time period, or a type of experience in a search query and find relevant Web content. Results of experiments showed that three proposed refinement algorithms applied to a conventional text mining method raises the precision and recall of the extracted rules.