뉴스 토픽모델링과 소셜네트워크 분석을 통한 스포츠-인공지능 산업·기술 트렌드 분석

초록

The purpose of this study is to understand the trends and changes of the times by analyzing the news articles of the sports-AI industry/technology trend reported through the media. The scope of research is the first (2012-2015) and second (2016-2019) sports-artificial intelligence articles of the last 10 years. It was divided into 3 periods (2020-2021). The research method was text mining, news topic modeling, and network visualization using Big Kinds, Texttom, and Netminer programs, respectively, and the results are as follows. First, the topic of each period is an issue that penetrates all periods in which poetic characteristics are excluded, and it simultaneously explains the threat posed by changes in the occupational paradigm and replacement of existing jobs, as well as positive content such as macro-application prospects following the introduction of sports-artificial intelligence technology. are doing Second, nevertheless, it can be confirmed that the combination of artificial intelligence technology in the Olympics and the World Cup, which are mega-sports events that come every time, is gradually composed of news that can have a positive outlook in terms of diversity and technological progress. Third, although e-sports as a sport category continues to be debated today, it is an issue that can carefully predict future sports or the future direction of e-sports by the role of artificial intelligence combined with virtual/augmented reality and metaverse concepts.

키워드