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논문 기본 정보

자료유형
학술저널
저자정보
김혜진 (장안대학교) 이정승 (호서대학교) 김수경 (단국대학교)
저널정보
한국데이터전략학회 Journal of Information Technology Applications & Management Journal of Information Technology Applications & Management Vol.31 No.1
발행연도
2024.2
수록면
113 - 122 (10page)

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이 논문의 연구 히스토리 (2)

초록· 키워드

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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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Abstract
1. 서론
2. 이론적 배경
3. 분석 방법론
4. 분석 결과
5. 결론 및 향후 연구 방향
References

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