Earticle

초록

영어

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.

목차

Abstract
1. 서론
2. 이론적 배경
2.1 메타버스
2.2 텍스트 마이닝 기반 메타버스 분석
3. 분석 방법론
3.1 분석 절차
3.2 텍스트 마이닝 방법론
4. 분석 결과
4.1 TF-IDF 분석 결과
4.2 Word2Vec 분석 결과
5. 결론 및 향후 연구 방향
5.1 결론 및 시사점
References

키워드

저자

• 김혜진 [ Hye Jin Kim | Lecturer, Department of English, Jangan University ] First Author
• 이정승 [ Jung Seung Lee | Associate Professor, School of Business, Hoseo University ] Co-Author
• 김수경 [ Soo Kyung Kim | Professor, College of International Studies, Dankook University ] Corresponding Author

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  JITAM [Journal of Information Technology Applications and Management]

• 간기

  격월간

• pISSN

  1598-6284

• eISSN

  2508-1209

• 수록기간

  1999~2026

• 십진분류

  KDC 005 DDC 005