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. © Springer-Verlag Berlin Heidelberg 2006.
CITATION STYLE
Kurashima, T., Tezuka, T., & Tanaka, K. (2006). Mining and visualizing local experiences from blog entries. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4080 LNCS, pp. 213–222). Springer Verlag. https://doi.org/10.1007/11827405_21
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