Analysis of the Sementic Network of Major Issues of Beijing 2022 Winter Olympics Using Text Mining

This study aimed to select keywords related to the 2022 Beijing Winter Olympics and conduct semantic network analysis based on those keywords to identify key issues and their meanings. Specifically, the research was conducted by writing python code in Google Colab and collecting Naver in-link articles. The articles published during the 2022 Beijing Winter Olympics were analyzed to extract the top 50 keywords in terms of frequency and the top 50 keywords in terms of TF-IDF. Word clouds were created based on the extracted keywords, and semantic network and CONCOR analysis were conducted to organize the implications of media coverage of the 2022 Beijing Winter Olympics into three categories.<br/> First, the media coverage was focused on medals or performance. Second, the media coverage was focused on popular sports and celebrities. Third, the media coverage was focused on controversy and sensational articles.