Journal of Information Technology Applications and Management

Korea Data Strategy Society (한국데이터전략학회)
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Metaverse Platform Customer Review Analysis Using Text Mining Techniques

텍스트 마이닝 기법을 활용한 메타버스 플랫폼 고객 리뷰 분석

  • Received : 2024.02.14
  • Accepted : 2024.02.27
  • Published : 2024.02.29
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Abstract

This comprehensive study delves into the analysis of user review data across various metaverse platforms, employing advanced text mining techniques such as TF-IDF and Word2Vec to gain insights into user perceptions. The primary objective is to uncover the factors that contribute to user satisfaction and dissatisfaction, thereby providing a nuanced understanding of user experiences in the metaverse. Through TF-IDF analysis, the research identifies key words and phrases frequently mentioned in user reviews, highlighting aspects that resonate positively with users, such as the ability to engage in creative activities and social interactions within these virtual environments. Word2Vec analysis further enriches this understanding by revealing the contextual relationships between words, offering a deeper insight into user sentiments and the specific features that enhance their engagement with the platforms. A significant finding of this study is the identification of common grievances among users, particularly related to the processes of refunds and login, which point to broader issues within payment systems and user interface designs across platforms. These insights are critical for developers and operators of metaverse platforms, suggesting a focused approach towards enhancing user experiences by amplifying positive aspects. The research underscores the importance of continuous improvement in user interface design and the transparency of payment systems to foster a loyal user base. By providing a comprehensive analysis of user reviews, this study offers valuable guidance for the strategic development and optimization of metaverse platforms, ensuring they remain responsive to user needs and continue to evolve as vibrant, engaging virtual environments.

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References

  1. An, J. Y., Shim S. Y., and Yun, H. J., "Metaverse Augmented Reality Research Trends Using Topic Modeling Methodology", Knowledge Management Research (KMR), Vol. 23, No. 2, 2022, pp. 123-142.
  2. Han, S. L. and Kim, T. J., "News Big Data Analysis of 'Metaverse' Using Topic Modeling Analysis",, Journal of Digital Contents Society, Vol. 22, No. 7, 2021, pp. 1091-1099.
  3. Hong, J. L., Yu, M. R., and Choi, B. R., "An Analysis of Mobile Augmented Reality App Reviews Using Topic Modeling",, Journal of Digital Contents Society, Vol. 20, No. 7, 2019, pp. 1417-1427.
  4. Hong, J. W. and Han, J. W., "A Study on Research Trends in Metaverse Platform Using Big Data Analysis", Journal of Digital Convergence, Vol. 20, No. 5, 2022, pp. 627-635.
  5. Kim, C. I., Kim, J. M., Jeong, G. H., and Park, J. H., "Estimate Customer Churn Rate with the Review-Feedback Process: Empirical Study with Text Mining, Econometrics, and Quai-Experiment Methodologies",, Information Systems Review (ISR), Vol. 23, No. 3, 2021, pp. 159-175.
  6. Kim, C. S., Lee, Y. H., and Ahn, H. C., "A Study on the Metaverse: Focused on the Application of News Big Data Service and Case Study",, Journal of the Korea Society of Digital Industry and Information Management, Vol. 17, No. 2, 2021, pp. 85-101.
  7. Kim, K. K., Kim, Y. H., and Kim, J. H., "A Study on Customer Satisfaction of Mobile Shopping Apps Using Topic Analysis of User Reviews", The Journal of Society for e-Business Studies, Vol. 23, No. 4, 2018, pp. 41-62.
  8. Kim, T. J., Ahn B. Y., Lee W. C., and Kang, H. J., "Analysis of metaverse trends using news big data",, Journal of Digital Contents Society, Vol. 23, No. 2, 2022, pp. 203-216.
  9. Lee, J. H. and Rhee, B. A., "A Study on User Expereince on Metaverse: Focusing on the ZEPETO platform", Journal of Digital Contents Society, Vol. 23, No. 6, 2022, pp. 995-1011.
  10. Lee, S. H. and Han, S. Y., "Metaverse begins: 5 Major Issues and Forecast", Issue Report of Software Policy & Research Institue, IS-115, 2021, pp. 1-35.
  11. Noh, H. K., "Metaverse-related Issues in Tourism Using News Big Data",, Tourism & Leisure Research, Vol. 34, No. 2, 2022, pp. 151-166.
  12. Statista, Metaverse potential market opportunity worldwide 2021, by scenario, 2021, https://www.statista.com/statistics/1286718/metaverse-market-opportunity-by-scenario/
  13. Yoon, S. H., Yang, J. H., Han, J. Y., and Kim H. L., "Unveiling the Success Factors of the Metaverse : A Mixed-methods Approach",, The Journal of Internet Electronic Commerce Research, 2022, Vol. 22, No. 1, pp. 41-61.
  14. Yu, S. Y., "Comparative analysis of metaverse platform according to function: focusing on industrial applicability", Journal of Digital Convergence, Vol. 20, , No. 4, 2022, pp. 617-625.