Analysis of Issues in the Advisory Committee on Energy and Natural Resources before and after the Great East Japan Earthquake using Text Mining

Abstract

Text mining was applied to analyze the point of the energy and environmental issues based on the minutes of conferences in the Advisory Committee on Energy and Natural Resources. Frequency of appearances and co-occurrence rates of keywords was analyzed thorough morphological analysis. Strengths of associations among keywords were presented on scatter charts using multiple correspondence analysis and cluster analysis and. Based on the results, we discussed the associations between energy, nuclear power and other keywords, and issues that were debated from the medium- to long-term perspective. It was presented that nuclear problems and the demand side of energy had separately been discussed, and that a novel point of issues including power technologies was raised in conferences after the disaster.