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. We have proposed a method of feature extraction by dependency analysis of those sentences that describe tourist behavior. This paper apply the proposed method to 7,917,385 blog articles on Kyushu area and shows the evaluation about the obtained resources for tourism.