Abstract
This research evaluates a travel journal regarding as data source potential for discovering tourism resources. Text data mining analysis is applied for discovering common and distinctive features from the travel journal, and locational analysis is implemented to specify the areas where the common and distinctive features appeared. As a result, the distribution of extracted landscape terms is differently appeared in each district by cross tabulation analysis. The distribution suggests that each district has distinctively different characteristics. Moreover, the result indicates that cluster analysis can reveal the relationship among extracted landscape terms and help to understand the characteristics in districts.
