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

Author

Hiramatsu, Ayako ; Oiso, Hiroaki ; Tamura, Shingo ; Komoda, Norihisa

Author_Institution

Dept. of Information Syst. Eng., Osaka Sangyo Univ., Japan

Volume

2

fYear

2004

fDate

10-13 Oct. 2004

Firstpage

1377

Abstract

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.

Keywords

computer games; data mining; database management systems; mobile communication; text analysis; mobile game content reply; open-ended questionnaires data analysis; support system; typical opinion culling; word database; Cellular phones; Data analysis; Data engineering; Data mining; Databases; Information analysis; Information science; Information systems; Subscriptions; Text mining;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Man and Cybernetics, 2004 IEEE International Conference on

ISSN

1062-922X

Print_ISBN

0-7803-8566-7

Type

conf

DOI

10.1109/ICSMC.2004.1399818

Filename

1399818