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An incremental classification method Of questionnaire data using self-regulated judgment parameters

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4 Author(s)
Mitsui, Y. ; Grad. Sch. of Inf. Sci. & Technol., Osaka Univ., Suita, Japan ; Iida, K. ; Akiyoshi, M. ; Komoda, N.

This paper addresses a method to classify users' opinions into categories to analyze opinions from large amount of answers in open-ended questionnaires correctly. Our previous proposed system uses category classification samples as category-based dictionary, which has performance deterioration in case of a few samples, that is, “cold start problem”. This paper introduces a new incremental classification method with automatic updating for category classification samples by using self-regulating threshold values of judgment. We also discuss applied results of our proposed method to questionnaires about university lecture.

Published in:

Industrial Informatics (INDIN), 2010 8th IEEE International Conference on

Date of Conference:

13-16 July 2010