DEVELOPING A TEXT MINING TECHNIQUE TO IDENTIFY CONCERTED OR OPPOSED RELATIONS AMONG COMMITTEE MEMBERS IN PUBLIC WORK PLANNING PROCESSES WITH USING THE PROCESSES' MINUTES

Abstract

 In this study, the authors developed a text mining technique to identify concerted or opposed relations among the committee members in public work planning processes with using the processes' minutes. As the result of applying the developed technique to the minutes of the Yodo River Watershed Committee, it was indicated that tendency of remarks on main and sub-themes would be a useful tool to classify the members by the subjects of remarks and position of each member on the “dam construction”, respectively. It was also possible to identify concerted or opposed relations between the Kinki Regional Development Bureau and some members as well as among the members by drawing a network graph with distance of the tendency of remarks on sub-themes and response relationships.