The purpose of this study is to explore healing tourism experiences from the perspective of leisure psychology. Using the case of templestay expedience and through text mining on the big data of templestay experience, it investigates the dimensions of healing tourism. It also explored the emotions of templestay participants with sentiment analysis. Data were collected from SNS such as facebook, twitter and Youtube, and they were used after refinement. Analyses of data suggests two dimensions of the experiences of healing tourism: (a) environmental experience, which consists of special environment or places from templestay, and (b) healing experience, which is composed of different activities of healing. Results of sentiment analysis on the emotions of the templestay participants indicates that they experienced positive emotions such as good feelings, joy and interest. In addition, results showed that templestay participants’ experience of positive emotion could make an effect on their experience of happiness. However, surprisingly, results also showed that a few templestay participants experience negative feelings such as fear, anger, anxiety, which may be experienced as a part of healing. This study will be able to contribute to healing tourism by providing researchers with useful data of participants’ experience and by suggesting practitioners with healing tourism guidelines.