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Subject

News Big Data Analysis of 'Metaverse' Using Topic Modeling Analysis
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메타버스 뉴스 빅데이터 분석: 토픽 모델링 분석을 중심으로

논문 기본 정보

Type
Academic journal
Author
Songlee Han (동국대학교) Taejong Kim (한국과학기술정보연구원)
Journal
Digital Contents Society Journal of Digital Contents Society Vol.22 No.7 KCI Accredited Journals
Published
2021.7
Pages
1,091 - 1,099 (9page)
DOI
10.9728/dcs.2021.22.7.1091

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Topic
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Background
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Method
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Result
News Big Data Analysis of 'Metaverse' Using Topic Modeling Analysis
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Abstract· Keywords

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The purpose of this study is to determine what the main agenda of social formation is and how it changes through the media by utilizing big data from the news of Metaverse and to suggest the direction of future reporting. Implications based on the results are as follows. First, a comprehensive theorem of concepts along with new concepts and definitions for Metaverse, which have not been clearly defined, are needed. Second, as the scope of use and innovation of Metaverse continue and expand, valuable productivity opportunities should be provided to users equally. Third, two-way cycles of Metaverse and the real world and of Metaverse and another Metaverse platform should be possible. Fourth, guidelines or ecosystems for the overall Metaverse should be established for the ecosystem of a healthy Metaverse. Fifth, opportunities should be available for opinions from various industries and field experts to be gathered, and communities between such parties will open up opportunities for a place of sharing. Finally, it is necessary to develop a plan for the dysfunction of Metaverse.

Contents

요약
Abstract
Ⅰ. 서론
Ⅱ. 선행문헌 검토
Ⅲ. 연구 방법
Ⅳ. 연구 결과
Ⅴ. 결론
참고문헌

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UCI(KEPA) : I410-ECN-0101-2021-004-001917886