4차 산업시대의 스포츠 분야 트렌드 분석 : 뉴스 토픽모델링 분석을 중심으로

다국어 초록 (Multilingual Abstract)

The purpose of this study is to explore issues in sports-fourth industry related news articles by applying text network and topic modeling analysis. The scope of the study is all domestic news reports from 2016, when the concept of the Fourth Industrial Revolution was first raised, to the present (2016-2022). The research method was conducted through text mining, news topic modeling, and social network visualization using Bigkinds and Netminer programs. For topic modeling analysis, the LDA algorithm MCMC method was applied, and topic perplexity was set as an index for optimal number of topics. The conclusions of this study are as follows. First, the high-ranking words in news articles related to sports-4th industry are ‘골프’, ‘우승’, ‘축구’, ‘중국’, ‘구굴’, ‘알파’. In the word cloud, it occupies a high proportion among the key words ‘이세돌’, ‘인공지능’, and ‘바둑’. Second, sports-fourth industry (artificial intelligence) game result prediction and artificial intelligence technology-based monitoring system are major news reports. Sports - (Big Data, Virtual Reality) All of them carry out major research interests in the broadcasting of sports events. Its main research areas include motion guidance, rehabilitation, and training for sports-(wearable) athletes. Third, the technology of the 4th industrial revolution is already subdivided into each area of physical education, and there are positive contents such as the prospect of macroscopic utilization according to technology introduction, and the threat of job paradigm change and replacement of existing jobs is also explained.

목차 (Table of Contents)

• Abstract
• Ⅰ. 서론
• Ⅱ. 연구방법
• Ⅲ. 결과 및 논의
• Ⅳ. 결론 및 제언
• 참고문헌