This study elucidated the changed eSports perceptions before and after COVID-19 and used social big data. Using Textom 6.0, we collected the following data from Naver, Daum, and Google: Frequency analysis, connection centrality, word sensitivity, TF-IDF, network analysis, and association analysis were performed using text mining analysis technology. Based on the results, the following conclusions were drawn. First, as a result of frequency analysis, the frequency for "eSports" was the highest regardless of Corona 19, and the second was "game". However, while the frequency of eSports before Corona 19 was 3501, the frequency after Corona 19 was 23,672, showing a difference of more than 6 times. This is a result showing that interest in eSports has increased. It was found that there was no big difference between TF-IDF and the 5th place in the frequency analysis, and the result of the word sensitivity analysis also showed a high rate of affirmation. Second, CONCOR analysis results, they were classified into four major groups: "eSports facilities and research," "professional gamers," "amateur," and "eSports industry." If a planned strategy is established based on these results and more effective activities are expanded, it is judged that eSports can grow in various directions.