Abstract
In this study, the authors developed a text mining technique for the minutes of public work planning processes to identify the sub-themes disucussed and persons referred to respective themes and to visualize analytical results. As the result of applying the developed technique to the minutes of the Yodo River Watershed Committee, sub-themes discussed in connection with "dam construction" such as “flow rate”, “water level of Lake Biwa”, “dams in Shiga Prefecture”, and so forth as well as members who mentioned respective themes in the committee were identified successfully. It was also indicated that drawing network graphs would be a useful tool to visualize the relationship between the members through the sub-themes.
