평창동계올림픽 및 평창동계패럴림픽에 대한 기간별 소셜미디어의 관심도 차이 분석

Abstract

The purpose of this study was to investigate the difference in interest of social media by word frequency and word cloud analysis for the data collection periods (before, during, and after the competition) of PyeongChang Winter Olympic Games and Paralympics by using Social Big Data. This study used the keywords 'Pyeongchang Winter Olympics' and 'Pyeongchang Winter Paralympics' to set the collection period to 30 days before and 30 days after the competition. Further, the solution TEXTOM was used to collect the data. The collected data was using summary data, and collected channels were Naver, Daum, google, and so on. The data analysis method utilized word frequency analysis and wordcloud analysis using text mining technique. As a result, the mean 30 word search frequency of the Pyeongchang Winter Olympic Games during the data collection period was about 30% higher than the 30 days before the competition and 30 days after the competition. On the other hand, the Pyeongchang Winter Paralympics 30 days> Competition period> 30 days after the competition, there was a tendency to decrease as the competition proceeded. These results show that the interest of social media decreases after the competition. In the case of PyeongChang Winter Olympic Games, the frequency of words related to the game and the host city 'Gangneung' was high, whereas in the case of Pyeongchang Winter Paralympics, 'Pyeongchang Winter Olympic Games' 39 people ', and the frequency of words for disabled people and specific athletes was high. This characteristic suggests that social media has only limited value in the case of Paralympic, but the Olympic Games focused on various sports and events.