The Method to Analyze Freely Described Data from Questionnaires

Masaomi Kimura

doi:10.20965/jaciii.2009.p0268

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JACIII Vol.13 No.3 pp. 268-274

doi: 10.20965/jaciii.2009.p0268

(2009)

Paper:

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The Method to Analyze Freely Described Data from Questionnaires

Masaomi Kimura

Shibaura Institute of Technology, 3-7-5 Toyosu, Koto City, Tokyo, Japan

Received:

November 23, 2008

Accepted:

February 18, 2009

Published:

May 20, 2009

Keywords:

text mining, modification relationships, application

Abstract

Text mining has been growing; mainly due to the need to extract useful information from vast amounts of textual data. Our target here is text data, a collection of freely described data from questionnaires. Unlike research papers, newspaper articles, call-center logs and web pages, which are usually the targets of text mining analysis, the freely described data contained in the questionnaire responses have specific characteristics, including a small number of short sentences forming individual pieces of data, while the wide variety of content precludes the applications of clustering algorithms used to classify the same. In this paper, we suggest the way to extract the opinions which are delivered by multiple respondents, based on the modification relationships included in each sentence in the freely described data. Certain applications of our method are also presented after the introduction of our approach.

Cite this article as:

M. Kimura, “The Method to Analyze Freely Described Data from Questionnaires,” J. Adv. Comput. Intell. Intell. Inform., Vol.13 No.3, pp. 268-274, 2009.

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References

[1] H. Matsuzawa, “Mining Structured Association Patterns from Large Databases,” Transactions of Information Processing Society of Japan, Vol.42, No.SIG 8(TOD 10), pp. 21-35, 2001.
[2] T. Kudo, K. Yamamoto, Y. Tsuboi, and Y. Matsumoto, “Mining Syntactic Structures from Text Database,” IPSJ SIG Notes. ICS, Vol.2002, No.45(20020523), pp. 139-144, 2002.
[3] M. Kimura, H. Furukawa, H. Tsukamoto, H. Tasaki, M. Kuga, M. Ohkura, and F. Tsuchiya, “Analysis of Questionnaires Regarding Safety of Drug Use, Application of Text Mining to Free Description Questionnaires,” The Japanese Journal of Ergonomics, Vol.41, No.5 pp. 297-305, 2005.
[4] M. Kimura, K. Tatsuno, T. Hayasaka, Y. Takahashi, T. Aoto, M. Ohkura, and F. Tsuchiya, “The Analysis of Near-Miss Cases Using Data-Mining Approach,” Human-Computer Interaction, HCI Applications and Services, pp. 474-483, Beijing, 2007.

This article is published under a Creative Commons Attribution-NoDerivatives 4.0 Internationa License.

[1] [1] H. Matsuzawa, “Mining Structured Association Patterns from Large Databases,” Transactions of Information Processing Society of Japan, Vol.42, No.SIG 8(TOD 10), pp. 21-35, 2001.

[2] [2] T. Kudo, K. Yamamoto, Y. Tsuboi, and Y. Matsumoto, “Mining Syntactic Structures from Text Database,” IPSJ SIG Notes. ICS, Vol.2002, No.45(20020523), pp. 139-144, 2002.

[3] [3] M. Kimura, H. Furukawa, H. Tsukamoto, H. Tasaki, M. Kuga, M. Ohkura, and F. Tsuchiya, “Analysis of Questionnaires Regarding Safety of Drug Use, Application of Text Mining to Free Description Questionnaires,” The Japanese Journal of Ergonomics, Vol.41, No.5 pp. 297-305, 2005.

[4] [4] M. Kimura, K. Tatsuno, T. Hayasaka, Y. Takahashi, T. Aoto, M. Ohkura, and F. Tsuchiya, “The Analysis of Near-Miss Cases Using Data-Mining Approach,” Human-Computer Interaction, HCI Applications and Services, pp. 474-483, Beijing, 2007.