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Authors: Keiichi Hamada 1 ; Masanori Akiyoshi 2 ; Masaki Samejima 1 and Hiroaki Oiso 3

Affiliations: 1 Osaka University, Japan ; 2 Hiroshima Institute of Technology, Japan ; 3 Codetoys K. K, Japan

Keyword(s): Open-ended Questionnaires, Typical Words Involvement Degrees, Co-occurrence Pattern.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence and Decision Support Systems ; Biomedical Engineering ; Data Engineering ; Enterprise Information Systems ; Health Information Systems ; Information Systems Analysis and Specification ; Knowledge Management ; Natural Language Interfaces to Intelligent Systems ; Ontologies and the Semantic Web ; Society, e-Business and e-Government ; Web Information Systems and Technologies

Abstract: This paper addresses a classification method of open-ended questionnaires using a category-based dictionary. Different from other classification methods, our proposed method introduces a category-based dictionary which is generated from a small set of categorized samples. This category-based dictionary is used to judge questionnaire categories with t f -id f (term frequency inverted document frequency) and co t f -id f (cooccurrence t f -id f ). Experimental questionnaires about a university lecture show that 71% of these questionnaires are classified accurately.

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Paper citation in several formats:
Hamada, K.; Akiyoshi, M.; Samejima, M. and Oiso, H. (2012). A Classification Method of Open-ended Questionnaires using Category-based Dictionary from Sampled Documents. In Proceedings of the 14th International Conference on Enterprise Information Systems - Volume 3: ICEIS; ISBN 978-989-8565-12-9; ISSN 2184-4992, SciTePress, pages 193-198. DOI: 10.5220/0003971601930198

@conference{iceis12,
author={Keiichi Hamada. and Masanori Akiyoshi. and Masaki Samejima. and Hiroaki Oiso.},
title={A Classification Method of Open-ended Questionnaires using Category-based Dictionary from Sampled Documents},
booktitle={Proceedings of the 14th International Conference on Enterprise Information Systems - Volume 3: ICEIS},
year={2012},
pages={193-198},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003971601930198},
isbn={978-989-8565-12-9},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the 14th International Conference on Enterprise Information Systems - Volume 3: ICEIS
TI - A Classification Method of Open-ended Questionnaires using Category-based Dictionary from Sampled Documents
SN - 978-989-8565-12-9
IS - 2184-4992
AU - Hamada, K.
AU - Akiyoshi, M.
AU - Samejima, M.
AU - Oiso, H.
PY - 2012
SP - 193
EP - 198
DO - 10.5220/0003971601930198
PB - SciTePress

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