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

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4 Author(s)
Yuki Mitsui ; Graduate School of Information Science and Technology, Osaka University, Japan ; Kaoru Iida ; Masanori Akiyoshi ; Norihisa Komoda

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:

2010 8th IEEE International Conference on Industrial Informatics

Date of Conference:

13-16 July 2010