Evaluation of Prefectures with Emotional Word by Open Data Analysis and Fuzzy Inference

Abstract

The purpose of this study is to comprehensively analyze open data on local governments and to construct a local government evaluation model using emotional words by combining psychological models. In the method proposed in this paper, principal component analysis and fuzzy inference are performed on prefecture data of 65 indicators used in “Happiness index Ranking”. As a result, the evaluation values of “Comfortable” and “Active” of each prefecture are obtained, and evaluation values are located in the circumplex model of Russell. Each prefecture is evaluated with emotional words of the Russell model.