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sis 25(5):

Research Article

Method for Analysing Information on Psychosomatic Issues Based on Service Recipient Dissatisfaction

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  • @ARTICLE{10.4108/eetsis.10574,
        author={Maya Iwano and Yoshiyuki Kobayashi and Kakeru Ota and Kazuhiko Tsuda},
        title={Method for Analysing Information on Psychosomatic Issues Based on Service Recipient Dissatisfaction},
        journal={EAI Endorsed Transactions on Scalable Information Systems},
        volume={12},
        number={5},
        publisher={EAI},
        journal_a={SIS},
        year={2025},
        month={11},
        keywords={Social Networking Service, Cosmetics, Consumer Dissatisfaction, text mining},
        doi={10.4108/eetsis.10574}
    }
    
  • Maya Iwano
    Yoshiyuki Kobayashi
    Kakeru Ota
    Kazuhiko Tsuda
    Year: 2025
    Method for Analysing Information on Psychosomatic Issues Based on Service Recipient Dissatisfaction
    SIS
    EAI
    DOI: 10.4108/eetsis.10574
Maya Iwano1,*, Yoshiyuki Kobayashi2, Kakeru Ota3, Kazuhiko Tsuda3
  • 1: Yamaguchi University
  • 2: Hoshi University
  • 3: University of Tsukuba
*Contact email: maya.iwano@yamaguchi-u.ac.jp

Abstract

Recently, the proliferation of social networking services has facilitated free sharing of opinions and complaints by consumers. For companies, such reviews are a valuable source of information for product and service evaluation, and for identifying areas for improvement. In this investigation, the cosmetics industry was used as a case study for this phenomenon. Content related to ‘skin’ was extracted from consumer review information and related physical and mental problems were analysed. Specifically, a polarity dictionary specialized for cosmetics was built, and related reviews were extracted by identifying expressions of dissatisfaction related to the skin, such as ‘itchiness’, ‘redness’, and ‘dryness’. By classifying and analysing problem types, this analysis revealed the trends in consumer dissatisfaction and related issues, discovering insights useful for improving services and products. Therefore, the present study identified the types and causes of problems in providing practical knowledge that contributes to enhanced consumer satisfaction, reduced product risk, and effective marketing strategies.

Keywords
Social Networking Service, Cosmetics, Consumer Dissatisfaction, text mining
Received
2025-10-14
Accepted
2025-11-23
Published
2025-11-25
Publisher
EAI
http://dx.doi.org/10.4108/eetsis.10574

Copyright © 2025 Maya Iwano et al., licensed to EAI. This is an open access article distributed under the terms of the CC BY-NC-SA 4.0, which permits copying, redistributing, remixing, transformation, and building upon the material in any medium so long as the original work is properly cited.

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