Analysis on the Short-Term Members of Parliament and Cabinet Ministers Based on the Diet Record of Japan

Abstract

In this paper, we analyze the remarks in the Diet by the short-term parliamentarians and ministers by applying machine learning. Regarding the short-term lawmakers, so-called “Children Politicians,” who won in the election with the support by mass media are analyzed and the questions by those who won another election and by those who did not are compared with each other. Then we analyze the answers in the Diet by the ministers who stepped down due to their inappropriate remarks or scandals and by those who served long as the cabinet ministers. In machine learning, we apply maximum entropy method and naive Bayes method with features extracted by discriminant analysis, and their performances on classification are compared. The result of the analysis shows that short-term “Children Politicians” use polite expressions less often and cares more about profits and losses. As for the short-term ministers, they use rude expressions not suitable in the Diet more frequently, while often insisting on high ideals and their own efforts.