Research Article
Image Perception of Guilin Tourist Destination Based on Web Text Analysis
@INPROCEEDINGS{10.4108/eai.17-6-2022.2322613, author={Xinchen Lu and Qiang Zhang}, title={Image Perception of Guilin Tourist Destination Based on Web Text Analysis}, proceedings={Proceedings of the International Conference on Information Economy, Data Modeling and Cloud Computing, ICIDC 2022, 17-19 June 2022, Qingdao, China}, publisher={EAI}, proceedings_a={ICIDC}, year={2022}, month={10}, keywords={text analysis method; tourist destination; "cognitive-affective" model}, doi={10.4108/eai.17-6-2022.2322613} }- Xinchen Lu
Qiang Zhang
Year: 2022
Image Perception of Guilin Tourist Destination Based on Web Text Analysis
ICIDC
EAI
DOI: 10.4108/eai.17-6-2022.2322613
Abstract
With the advent of the era of big data, collecting online travel notes to establish a text database can obtain the comprehensive perception image of tourists on tourist destinations, and provide new ideas for the research on image perception of urban tourist destinations. Tourist travel texts collected from Ctrip.com and Mafengwo are used as research samples. Based on the "cognition-emotion" model of tourist destination image perception, the high-frequency feature words of Guilin image perception are extracted by text analysis method. The results show that: (1) Yangshuo, Li River, and Yulong River are the basic cognitive images of tourists for Guilin’s tourism image. (2) Tourists are highly satisfied with tourism resources and tourism activities, and the evaluation is mainly based on neutral emotions. (3) The overall image perception is a landscape tourist attraction, the overall image perception is positive, and the overall positive perception accounts for a high proportion. (4) The travel notes semantic network diagram takes Guilin as the core, and Guilin-Yangshuo, Guilin-Lijiang, and Guilin-Yulonghe are closely related relation chains in the network diagram.