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Title:
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SEQUENTIAL CLASSIFICATION METHOD FOR OPEN-ENDED QUESTIONNAIRE DATA BASED ON CATEGORY CLASSIFICATION SAMPLE |
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Author(s):
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Kaoru Iida , Keisuke Negoro , Hiroaki Oiso , Masanori Akiyoshi |
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ISBN:
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978-972-8924-97-3 |
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Editors:
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Hans Weghorn and Pedro Isaías |
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Year:
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2009 |
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Edition:
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V I, 2 |
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Keywords:
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Open-ended questionnaires, Category classification sample, Sequential classification, Threshold coefficient k, Threshold j |
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Type:
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Full Paper |
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First Page:
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157 |
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Last Page:
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164 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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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 a new sequential 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. |
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