Abstract
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.
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Kurashima, T., Tezuka, T., Tanaka, K. (2006). Mining and Visualizing Local Experiences from Blog Entries. In: Bressan, S., Küng, J., Wagner, R. (eds) Database and Expert Systems Applications. DEXA 2006. Lecture Notes in Computer Science, vol 4080. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11827405_21
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DOI: https://doi.org/10.1007/11827405_21
Publisher Name: Springer, Berlin, Heidelberg
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