Research on Food Experience Perception Based on Data Mining Technology: Taking Guiyang Qingyun Market as an Example
DOI: https://doi.org/10.62517/jtm.202413310
Author(s)
Hong Zhao1,2, Hongxi Zhang3, QiongLiu4, *
Affiliation(s)
1Tourism Management Department, South China University of Technology, Guangzhou, Guangdong, China
2Finance Department, Guizhou Minzu University, Guiyang, Guizhou, China
3Tourism and Aviation Service College, Guizhou Minzu University, Guiyang, Guizhou, China
4Public Teaching Department, Guiyang Institute of Information Technology, Guiyang, Guizhou, China
*Corresponding Author.
Abstract
In the era of self-media, a considerable proportion of tourists have the habit of browsing and using food strategies, and the interaction between tourists and food networks is frequent. At the same time, the catering industry cluster is an important means for cities to optimize social catering management, build urban specialty food brands and promote regional economic development. Guiyang is one of the typical gathering places of tourism retired immigrants in China. This paper takes Guiyang Qingyun Market as an example, focuses on the food network review text, uses specific computer algorithms, data mining technology and content analysis method, and uses KH Coder and ROST CM6 software to analyze the data text of a total of 426189 words. The following results are obtained. The purpose of this paper is to explore the food experience value of Qingyun Market from the perspective of customer perception. Based on the customer’s experience value evaluation of each dimension of the case, this paper analyzes the shortcomings of Qingyun Market in construction planning, atmosphere creation and food quality, and puts forward targeted countermeasures and suggestions for the operation and management of Qingyun Market.
Keywords
Data Mining Technology; Gastronomic Tourism; Experience Perception; Web Comment Text
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