Abstract
In the era of big data, network text analysis has become an important means of studying tourists’ travel preferences. This study takes Wuyuan County as the research object, adopts network text analysis method, uses Octopus Collector to collect Wuyuan travel notes on relevant tourism websites, and uses ROST CM6 text mining software to perform word frequency analysis, semantic network analysis and sentiment analysis to explore the tourist preferences of rural tourism destination Wuyuan. The study found that as a sample of rural tourism, Wuyuan tourists’ preference is concentrated on tourism elements such as rape flower and Huangling, which is the core advantage of the characteristic development of the scenic spot. At the same time, insufficient transportation infrastructure limits tourists’ desire to visit, and the reception capacity of scenic spots needs to be improved urgently. The research results can promote Wuyuan to enhance its tourist attraction and provide reference for image shaping and marketing of other rural tourist destinations.
Highlights
Rural tourism refers to tourism activities that take rural natural and humanistic objects as tourist attractions in rural areas
According to the principle of importance, this paper uses the word frequency statistics function in ROST CM6 to extract 100 high-frequency keywords, and divide the keywords into six types of information: tourist routes, tourist attractions, play items, travel daily, tourist perception, and travel season
Tourists are mainly affirming the travel experience of Wuyuan, cognition of positive emotions is higher than negative emotions, and the image communication of tourist destinations has achieved better results, which echoes the conclusions of the previous high-frequency word analysis
Summary
Rural tourism refers to tourism activities that take rural natural and humanistic objects as tourist attractions in rural areas. Rural tourism in our country has experienced the early rise stage, the initial development stage and the standardized management stage. It has transitioned from the original resource characteristic dominance, agricultural industry dominance and government support dominance to the current market dominance. The perceived preference of tourists, as an important manifestation of tourism intention, has great research value
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