In this study, it is expected that private qualification will be activated as a medium for supplying outstanding workers to the right place in the labor market, maintaining the characteristics of the hospitality field where trends are rapidly reflected. The purpose of this study is to examine the direction of employment (job direction) in the domestic hospitality field by conducting text mining and social network analysis on the names of private qualifications registered by domestic hospitality companies. As a result, words related to coffee and recreation-related words related to events were predominant, and it is also assumed that there were many demands for various jobs related to cooking, culture, and children. As a result of COMCOR analysis, five clusters appeared: 1) barista/sommelier attributes, 2) cooking/cultural attributes, 3) child/cake attributes, 4) recreation attributes, and 5) educational attributes. This study has academic value in that it analyzed the data of private qualifications for employment in the domestic hospitality industry, which is different from the traditional empirical analysis method. However, this study has the limitation that it analyzed with limited information. Future studies should analyze using broader information, such as job specifications and subjects for certification.