Research On Tourist Satisfaction Of Hot Spring Scenic Spots From The Perspective Of Internet Word Of Mouth

With the advancement of the economy and society and the growing sub-health problems of the population,consumers are increasingly demanding health care,and health tourism is occupying the market with rapid development.Among them,the hot springs have become the health and wellness tourism products with their unique healing characteristics.An important component with great development space and market potential.Shandong Province has rich tourism resources and has a long history of development and utilization of hot spring resources.It is a hot spring province north of the Yangtze River.As of 2019,there are more than 10large-scale hot spring tourism projects built and put into use in the province.Higher degrees.The rapid spread of online payment functions and the booming of travel e-commerce have made consumers have more choices when making travel product purchase decisions.The emergence of online reviews has enabled offline visitors to learn more comprehensively and truthfully.Detailed information about travel products.Based on this background,this study takes the hot spring tourism products as the theme,taking the typical hot spring scenic spots in Shandong Province as an example,through the data analysis of Internet word-of-mouth and questionnaires,to study the tourist satisfaction of typical hot spring tourism products in Shandong Province.Using Goo seeker software to crawl the review data of typical hot spring scenic spots on the Ctrip website,including visitor ratings,comment content,etc.,a total of 2931 valid comments were obtained;through the comparison of text mining methods,the LDA topic analysis model was determined as a data analysis method.Based on the TF-IDF formula,the word frequency analysis was carried out.After the data processing,a total of 17,674 entries were obtained.Using Python and ROST Content Mining software to calculate the weight of the review documents and visitor perception research,the specific indicators affecting the satisfaction of tourists in the typical hot spring scenic spots in Shandong were studied.Then,the specific weights of the tourist satisfaction impact factors are separately modeled and analyzed for each scenic spot.In order to study the differences in the characteristics of tourist satisfaction,this paper uses literature research,questionnaires and other methods to determine whether to purchase hot spring tourism products on Ctrip website,from the gender,age,education,annual income,resident type and whether to bring children.Six aspects of travel were analyzed by SPSS software for the difference of tourist characteristic variables.Through the above analysis,the development status and existing problems of hot spring tourism products in Shandong Province are obtained,and the specific reasons that affect thesatisfaction of tourists are found.According to the LDA modeling analysis,the constituent dimensions that affect the satisfaction of tourists mainly include “basic and core resort facilities”,“software and hardware service conditions”,“tourist perceived cost performance”,“special scenic spot projects” and“locational traffic conditions”“space environmental conditions”six dimensions,including 13 specific impact factors.The results of the analysis of tourists’ satisfaction differences show that gender differences mainly differ between hardware facilities and hot spring experience;the perception of geographical location and supporting facilities is different for all age groups;consumers of different educational levels have different quality differences between hot spring facilities and hot springs significantly;the difference in annual income level leads to different requirements for tourists’ service level in the scenic spot,and the overall satisfaction is also affected by this;urban residents and rural residents have higher differences in the perception of geographical location and cost performance;for consumers,the service level and supporting facilities are more demanding.In order to further improve the online word-of-mouth image of hot spring scenic spots and attract more tourists,overall planning should be carried out around six dimensions.Based on the hardware and software conditions to improve the satisfaction of tourists,improve the supporting facilities in the scenic spot to improve the service quality of the scenic spot;develop the scenic spot special project with people-oriented;strengthen the traffic construction of the scenic spot and build an ecological landscape environment.The innovation of this paper is to use the OTA website online comment as the main data to summarize the satisfaction of tourists.Through the application of Python and ROST Content Mining software,the quantitative analysis and qualitative research of the review texts will get the six major influences on tourist satisfaction.Dimensions,and propose optimization strategies for Shandong Hot Spring Scenic Spot.This paper has some shortcomings in the following three aspects:1.The data in this paper comes from Ctrip.The sample area of the study is limited to Shandong Province,so the number of samples is insufficient.2.There are few studies on LDA model in tourism field,and the model has certain Limitations,the future needs to continue to improve;3.The research method of this paper has certain subjectivity,and the ability to reflect on qualitative research should be further improved in the future.