Classification of Questions in Citizen’s Questionnaires to Compare Local Governments

Abstract

Many local governments regularly survey their residents for administration evaluation and publish the results in their web pages. When we compare those results, we can find the characteristics of each local government. However, since each questionnaire consists of its own questions even if the issue is similar, it is difficult to associate one question by the local government to that by the other. We propose the system to classify the questions considering word order and meaning by Long Short Term Memory (LSTM) with word embedding.