Blog articles by tourists contain interesting and personal experiences of where and how they have gone, what they have done and what they thought. Such individual experiences are helpful in many cases compared to the general and official information about the tourist resort by tourist agents. However, it is not easy to choose related articles and to extract still more nearly required information from these unsorted blog articles. This paper proposes a technique of feature extraction by dependency analysis of verbs and objects in those sentences that describe tourist's behavior. This paper applied the method to 7,917,385 blog articles on Kyushu area and reports some analysis on "where and what did they eat" as case studies. © 2012 IEEE.
