Medical, health and wellness tourism and travel represent a dynamic and rapidly growing multi-disciplinary economic activity and field of knowledge. This research responds to earlier calls to integrate research on travel medicine and tourism. It critically reviews the literature published on these topics over a 50-year period (1970 to 2020) using CiteSpace software. Some 802 articles were gathered and analyzed from major databases including the Web of Science and Scopus. Markets (demand and behavior), destinations (development and promotion), and development environments (policies and impacts) emerged as the main three research themes in medical-health-wellness tourism. Medical-health-wellness tourism will integrate with other care sectors and become more embedded in policy-making related to sustainable development, especially with regards to quality of life initiatives. A future research agenda for medical-health-tourism is discussed.

The travel notes contain a wealth of tourists' behavior information, which provides a new way to study tourists' preferences. How to mine the text of online travel notes accurately and efficiently has become the key to research tourists' preferences. In this paper, the theory and technology of text mining were introduced into the research of tourists' preference through a large number of online travel notes accumulated on the Internet. The main research work of this paper was as follows: (1) The tourists' preference model was constructed by complex network method; (2) The travel notes data of Sanya tourists as an example was crawled and analyzed. In this paper, the theory of network travel data and text mining is introduced into the study of tourists' preferences, which not only improves the data quality of traditional preference research field, but also provides a new method for mastering tourists' preferences more accurately.