A research on image perception of study tourism demonstration based on network text analysis: taking Sanwei Bookstore, Lu Xun's residence as an example

Xin Fu

doi:10.1117/12.2660805

2 February 2023 A research on image perception of study tourism demonstration based on network text analysis: taking Sanwei Bookstore, Lu Xun's residence as an example

Xin Fu

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Proceedings Volume 12462, Third International Symposium on Computer Engineering and Intelligent Communications (ISCEIC 2022); 1246226 (2023) https://doi.org/10.1117/12.2660805
Event: International Symposium on Computer Engineering and Intelligent Communications (ISCEIC 2022), 2022, Xi'an, China

Abstract

With the rapid development of big data and Internet technology, the tourism industry is actively combining with big data and new technologies. As a service industry, how to accurately understand the concerns of tourists and create a good tourism destination image has become the key to the management and development of scenic spots. Taking Sanwei Bookstore -Lu Xun's residence as the research case, this paper uses Octopus software to collect Ctrip network comments and use RostCM6 to make a qualitative analysis of the online comments made by tourists. Through big data analysis, the paper discusses the image perception of domestic tourists for the destination from the cognitive image, emotional image and overall image, and puts forward targeted suggestions on this basis, in order to improve the image perception of Sanwei Bookstore- Lu Xun's residence and speed up the development of its study tourism.

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Xin Fu "A research on image perception of study tourism demonstration based on network text analysis: taking Sanwei Bookstore, Lu Xun's residence as an example", Proc. SPIE 12462, Third International Symposium on Computer Engineering and Intelligent Communications (ISCEIC 2022), 1246226 (2 February 2023); https://doi.org/10.1117/12.2660805

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KEYWORDS

Lutetium

Data mining

Network security

Analytical research

Statistical analysis

3D modeling

Clouds

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