Mining and Visualizing Local Experiences from Blog Entries

  • Takeshi Kurashima
  • Taro Tezuka
  • Katsumi Tanaka
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4080)


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.


Association Rule International World Wide Text Mining Method Sentence Predicate 12th International World Wide 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Takeshi Kurashima
    • 1
  • Taro Tezuka
    • 1
  • Katsumi Tanaka
    • 1
  1. 1.Department of Social Informatics, Graduate School of InformaticsKyoto UniversityKyotoJapan

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