Discourse Analysis of Olympic using Big Data

The purpose of this study is to analyze discurse of Olympic using big data analytical technique, and provide the basic data required for establishing policies relating to Olympic. To achieve this purpose of research, 32,799 related media reports were collected through Big Kinds of the Korea Press Foundation, and text mining, semantic network analysis were conducted using Textom and Ucinet. As a result of textmining, there was no significant change in top core keywords for all period. the keywords related to the Olympic Games held during that period and the Korean athletes and competition winners, such as Korea, athlete, national team, and gold medal, showed high numbers. As a result of the CONCOR analysis, there were 4 groups in each period. In particular, Olympic Games participation and Government actions were formed as groups for the entire period, and Korean athletes, Pyeongchang Olympic games related groups, and Tokyo Olympic games related issue groups were formed. Through this, it was confirmed that the achievements of the Korean athletes, such as winning at the Olympic Games, the government&quots political and diplomatic actions regarding the Olympic games, and issues related to hosting the Pyeongchang Olympic Games received high attention from the media and the public.