Mining and visualizing local experiences from blog entries

Authors:
Takeshi Kurashima;Taro Tezuka;Katsumi Tanaka
Affiliations:
Department of Social Informatics, Graduate School of Informatics, Kyoto University, Kyoto, Japan;Department of Social Informatics, Graduate School of Informatics, Kyoto University, Kyoto, Japan;Department of Social Informatics, Graduate School of Informatics, Kyoto University, Kyoto, Japan
Venue:
DEXA'06 Proceedings of the 17th international conference on Database and Expert Systems Applications
Year:
2006

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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.