Abstract
In this paper, we study the question of relationship and influence between tourists’ perception and the image of off-season ecotourism destination and sustainable development of tourism, which is based on the web text. Firstly, we analyze the tendency of high-frequency words as tourism perception and customer attitude using the data of network text which is from review websites. Secondly, we study the image perception differences of ecotourism destinations in low and peak seasons through text replacement, perceived category comparison, perceived emotion comparison, and social network and network semantics comparison. Finally, we provide relevant suggestions and opinions on the sustainable development of off-season ecotourism, which is from the aspects of tourism attraction management, tourism publicity and ecological environment protection.
Highlights
China's tourism industry’ development is one of the key parts to promote Chinese economic growth
The reason is that the tourism resources of seasonal difference and the tourists preference differences cause the problem of unbalanced development, performance for dual fluctuation of tourism attractions and tourism demand [2], traffic jam, the loss of idle resources, the retention of tourists [3] will affect the level of economic development and the imbalance of tourist sources
According to the collected information about Daoxiang Lake and the analysis of tourists' online comments, the peak season is from March to November every year, and the off season is from the last December to the second year February In this paper, we organize the comments into two TXT. texts by season
Summary
China's tourism industry’ development is one of the key parts to promote Chinese economic growth. There are few researchers studying on off-season and peak season of ecotourism from the perspective of network text analysis, tourists by using the method of independent sample T test and degree centrality analysis. This paper takes Beijing ecological tourism attraction of Daoxiang Lake as an example, which is from the perspective of tourists and using the method of network text analysis to get relevant conclusions. We analyze the tourists' perception in the peak season and off-season of ecotourism attractions, and compare and summarize the characteristics of tourists' perception in off-season and peak seasons by using the analysis methods of high-frequency word category processing, independent sample T test and degree centrality analysis. Some available suggestions and prospects of the sustainable development of Daoxiang Lake ecotourism tourism attraction and the development of off-season tourism could be attached to the tourism development
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