Support system for analyzing open-ended questionnaires data by culling typical opinions

This paper proposes a support system for analyzing answers to open-ended questions supplied by users of the mobile game content reply when they unsubscribe from the services. Because useful, unexpected opinions (the atypical opinions) are only 5% of all answers, it is inefficient to read them all to find a useful one. Therefore, we propose a support system for analysis of unsubscribing questionnaire data. The main function of the support system excludes typical opinions and extracts only atypical opinions. The combination of words is established beforehand in a typical word database. Based on the ratio of typical word combinations in the sentences of an opinion, the system classifies the opinion typical or atypical.