Cluster Analysis of Associated Words Obtained from a Free Response Test on Tokyo Bay

  • Shinsuke Suga
  • Ko Oi
  • Sadaaki Miyamoto
Conference paper
Part of the Studies in Classification, Data Analysis, and Knowledge Organization book series (STUDIES CLASS)


This study is concerned with data analysis of associated words obtained from a free association test on Tokyo Bay. It is shown that cluster analysis of the words is an effective method to find respondents’ concerns about the bay. Word clusters are considered to give structures of inseparable conceptions of the object of association. We analyze data from two survey areas near Tokyo Bay, i.e., one in a residential area and the other in a town where fisheries are primary industries. The data analysis shows that water pollution is a respondents’ important concern in the two areas. Associated words showing various industries or development works are classified in some specific clusters. Further, we find a word cluster which indicates that Tokyo Bay is closely related to the lives of respondents engaged in fisheries.


Survey Area Free Association Marine Product Word Data Word Cluster 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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  1. Kondoh, Y. et al. (1993): The acoustic environmental awareness of residents in high-rise apartment houses by the free response method, Proceedings of the Japan Society of Civil Engineers, 458, 111–120 (in Japanese).Google Scholar
  2. Miyamoto, S. and Nakayama, K. (1980): A hierarchical representation of citation relationship, IEEE Trans., Systems Man and Cybern., SMC-10, 899–903.Google Scholar
  3. Miyamoto, S. (1984): Development of a Computer Program Package for Bibliometrics, Report of a research supported by the Grant in Aid for Fundamental Scientific Research of the Educational Ministry in fiscal 1983, (in Japanese).Google Scholar
  4. Miyamoto, S. et al. (1990): Methods of digraph representation and cluster analysis for analyzing free association, IEEE Trans., Systems Man and Cybem., Vol. 20, No. 3, 695–701.CrossRefGoogle Scholar
  5. Oi, K. et al. (1986): Analysis of cognitive structures of environment of the local residents through word association method, Ecological Modelling, 32, 29–41.CrossRefGoogle Scholar
  6. Oi, K. et al. (1988): The range and the structure of cognition of the living environment conceived by local residents, Proceedings of the Japan Society of Civil Engineers, 389, 83–92 (in Japanese).Google Scholar
  7. Oi, K. et al. (1994): Management of complaints caused by noise and other pollution phenomena filed by residents flowing into industrial areas, Proceedings of International Congress on Noise Control Engineering, Vol. 2, 1141–1144.Google Scholar
  8. Suga, S. et al. (1993): Study of the awareness of local residents on an expanse of water by a free association test and cluster analysis, Proceedings of the Japan Society of Civil Engineers, 458, 91–100 (in Japanese).Google Scholar
  9. Suga, S. et al. (1994): An application of a method of neighborhood to text of free response test on annoyance and trouble, Research Report from the National Institute for Environmental Studies, R-132-’94, 97–106 (in Japanese).Google Scholar
  10. Suga, S. and Oi, K. (1995): A Survey of the Image of Sea through a Free Association Method, F-73-’95/NIES, National Institute for Environmental Studies (in Japanese).Google Scholar

Copyright information

© Springer Japan 1998

Authors and Affiliations

  • Shinsuke Suga
    • 1
  • Ko Oi
    • 1
  • Sadaaki Miyamoto
    • 2
  1. 1.National Institute for Environmental StudiesTsukuba, Ibaraki 305Japan
  2. 2.Institute of Information Sciences and ElectronicsUniversity of TsukubaTsukuba, Ibaraki 305Japan

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