메뉴 건너뛰기
Library Notice
Institutional Access
If you certify, you can access the articles for free.
Check out your institutions.
ex)Hankuk University, Nuri Motors
Log in Register Help KOR
Subject

Analysis of trends in the Chinese metaverse industry using LDA and suggestions for development
Recommendations
Search

LDA를 활용한 중국 메타버스 산업 동향분석 및 발전에 대한 제언

논문 기본 정보

Type
Academic journal
Author
YIQIAN HAN (가천대학교) Wonjun Jeong (가천대학교) Gisung Oh (가천대학교) Whangbo Taegkeun (가천대학교)
Journal
차세대컨버전스정보서비스학회 디지털예술공학멀티미디어논문지 디지털예술공학멀티미디어논문지 제10권 제1호 KCI Accredited Journals
Published
2023.3
Pages
81 - 91 (11page)
DOI
10.29056/jdaem.2023.03.08

Usage

cover
Analysis of trends in the Chinese metaverse industry using LDA and suggestions for development
Ask AI
Recommendations
Search

Abstract· Keywords

Report Errors
Metaverse is a new concept that means a virtual world. In particular, the metabus industry, one of the emerging industries recently activated due to COVID-19, is currently attracting attention from many companies. In this paper, in order to analyze 20051 news texts related to the Chinese metaverse, text mining, LDA (Potential Dirichlet Allocation) topic modeling, and visualization graphs are used to analyze the development and industry trends of the Chinese metaverse industry and move forward. give direction to The results of the study showed that the main factors influencing the development of China's metaverse industry are policy support, basic technology, application services, and industrial ecology. Among them, regulation at the source technology level due to semiconductor sanctions was found to be a key factor that has the greatest impact on the growth of China's metaverse. China has made great strides in the game industry and metaverse industry, but chip sanctions are also affecting the underlying infrastructure for metaverse development and XR hardware product production. This is expected to affect the early development of China's metaverse industry in the short term.

Contents

No content found

References (0)

Add References

Recommendations

It is an article recommended by DBpia according to the article similarity. Check out the related articles!

Related Authors

Recently viewed articles

Comments(0)

0

Write first comments.