Developing a Word Selection Method Utilizing Variation Coefficients for Aanalyzing the Minutes of Public Work Planning Processes

Abstract

In this study, the authors developed a word selection method based on the coefficients of variation on the number of paragraphs containing respective terms for analyzing the minutes of public work planning processes with text mining. As the result of applying the developed method together with Term Frequency-Inverse Document Frequency (TFIDF) to the minutes of the Yodo River Watershed Committee, it was illustrated that the method was more effective than TFIDF in terms of comprehending contents of discussion in the committee.