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With the rise of travel platforms, online comments have become a common phenomenon and an important index of people's travel consumption. In this paper, taking Qixingyan scenic spot in Zhaoqing City as the research object, data was collected from the perspective of online comments, and then data filtering, statistics of high-frequency words and visual presentation were carried out. The data was analyzed and collated through emotion analysis to construct a tourist emotion analysis model. Through a series of empirical analysis, it can be concluded that tourists were more sensitive and concerned about tourist destination factors. Management and landscape were important contents for the scenic spot to alliance its competitiveness. Consumption not only attracted the attention of tourists, but also had a significant influence on tourists' emotions. Finally, relevant suggestions on resource management, economic development model and service, and food development were put forward.
Keywords Online comments, Tourists' emotions, Emotion analysis model
Abstract
In recent years, as the Internet industry has been closely related to people's clothing, food, housing and transportation, the tourism field has also followed the trend of online development. Online comment is no longer a niche, but a mass existence. At the same time, the easy access of Internet data has laid a good foundation for relevant research. At present, domestic and foreign research based on online travel reviews and sentiment analysis based on online reviews have also achieved certain results.
Foreign scholar Abdulqader Almars et aL[l] proposed a new probabilistic model, namely the hierarchical user emotion theme model, and used different themes and emotional information (including positive, negative and neutral information) to model users' attitudes in layers from the perspective of emotion1"1. Ma Xiao et al. sought a breakthrough in text sentiment analysis, introduced the place attention mechanism, and studied how to use the place attention mechanism to simultaneously model multiple aspects in an opinionated sentence.
In the field of tourism research, the study of online reviews is certainly not behind. In different regions and industries, different studies and methods will produce different conclusions. In the hotel industry, ^SjS et al.P!, starting from the heuristic system model, discussed the influence of the heuristic and systematic cues that constitute online reviews on consumers' perception of hotel online reviews, and concluded that only...