Analysis of Health and Wellness Tourism in Shangluo City Based on Text Mining

DOI: https://doi.org/10.62517/jtm.202513102

Author(s)

Siming Ma, Yangwei Wei, Xinyu Yang, Wenbo Wang

Affiliation(s)

School of Mathematics and Computer Applications, Shangluo University, Shangluo, Shaanxi, China

Abstract

To fully leverage the tourism resources and geographical advantages of Shangluo City and to propel the high-quality development of its health and wellness tourism industry, this study focuses on the health and wellness tourism market of Shangluo City as its primary research subject. By gathering relevant reviews from prominent domestic travel platforms such as Ctrip and utilizing advanced big data technologies, including semantic network analysis and data analysis methods, the research conducts a thorough examination and investigation into the health and wellness tourism market and image perception evaluations in Shangluo City. The Jinsi Grand Canyon scenic area in Shangluo City serves as a case study, where the ROSTCM6.0 analysis tool is employed to evaluate the image perception of the tourism market through semantic network analysis, high-frequency feature words, and sentiment analysis. The findings indicate that while the natural beauty of the scenic area is highly praised by tourists, there are significant shortcomings in sanitation and personnel management within the area. In conclusion, this study proposes several recommendations for the advancement of wellness tourism, including improving the quality of tourism services and providing personalized travel experiences.

Keywords

Jinsi Grand Canyon Scenic Area; Health and Wellness Tourism; ROSTCM6.0; Tourists' Cognitive Images; Tourists' Emotional Image

References

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