Hotel companies are trying to improve customer's satisfaction and increase profits. Hotels are expanding the operation of various additional services in addition to rooms. This study aimed to develop the operational promotion plans of hotel fitness and recognition of hotel fitness consumer's by social media big data. Naver, Daum and Goggle were collected as analysis social media channels. The 6,479 words were gathered as through semantic network analysis with a keyword of 'hotel fitness' for social big data research. The period was limited for 5 years from June 1, 2015 to May 31, 2020. The data were text mining by textom and Krkwic program for social network analysis, UCINET was to draw the network between words linked to the keyword. As a results, first, various keywords recognized by hotel fitness consumer's such as 'fitness member', 'exercise', 'Shilla hotel', 'trade', 'membership', 'information', 'sea', 'contest', 'island', 'propelling', 'tourist', 'region', 'plan', 'culture', 'experience', 'swimming pool' were extracted. Second, as the result of CONCOR group analysis, totally 4 groups were formed. The sematic network analysis studies discussed the implication of hotel fitness operational promotion plans.