Analysis of Tourism Experience in Haizhu National Wetland Park Based on Web Text
Pei Lin; Lili Chen; Zeshun Luo
Most studies on wetland parks focus on resource surveys and evaluations, park planning and design, and the construction of hardware facilities. Only a few studies have covered tourism experiences. With the rapid development of online media, online text data have become a prominent research direction for tourism experiences. Based on the web text analysis method and importance-performance analysis, Rost Content Mining 6 software was used. This served to analyze word frequency, semantic web analysis, and sentiment analysis, and to explain the web text about Haizhu National Wetland Park. It also helped to find problems experienced by tourists and their underlying reasons and proposed improvement strategies. The results showed that the overall quality of the tourism experience in Haizhu National Wetland Park was relatively high. However, some of the negative comments mainly focused on the lack of humanistic landscape construction, lagging infrastructure, and poor management services. By combining research results, improvement strategies were proposed that addressed infrastructure, management services, scenic spot publicity, ecological environmental protection, and so on. These could help to enhance tourism experiences.
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