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...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Hiramatsu, A., Oiso, H., Tamura, S., Komoda, N.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Applied sciences Cellular phones Computer science control theory systems Control theory. Systems Data analysis Data engineering Data mining Exact sciences and technology Information analysis Information science Information systems Subscriptions Text mining
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