Analysis support system of open-ended questionnaires based on atypical and typical opinions classification

This paper proposes a support system for analyzing answers to open-ended questions supplied by mobile game users as content replies when they unsubscribe the services. The answers include useful, unexpected opinions (atypical opinions) and expected opinions (typical opinions). It is inefficient to read them all during analysis. Therefore, we propose a support system for analysis of questionnaire data related to unsubscribing. The main function of the support system is classifying the answers into typical opinions and atypical opinions, and presenting them with user interfaces. In order to grasp user attitudes, typical opinions are presented as a graph showing the number of transitions. Atypical opinions are presented as cards in order to grasp opinion content.