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2 February 2023 Research on image perception of red culture theme park tourist destination based on network text analysis: taking the Glorious Orient as an example
Yumin Dai, Yunxuan Cai
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Proceedings Volume 12462, Third International Symposium on Computer Engineering and Intelligent Communications (ISCEIC 2022); 124620M (2023) https://doi.org/10.1117/12.2660767
Event: International Symposium on Computer Engineering and Intelligent Communications (ISCEIC 2022), 2022, Xi'an, China
Abstract
According to the network text analysis method, the tourists' perception of the image they want to know about the Glorious Orient based on the user comments on the Ctrip website are collected through the data collection software "Octopus Collector", and the online text is analyzed with the help of ROST CM6.0 text analysis software. High-frequency word analysis, semantic network analysis and sentiment analysis to study tourists' image perception of tourist destinations. The results show that: (1) the Glorious Orient theme park attracts tourists by combining high-tech and stimulating experience items; (2) The semantic network diagrams are mainly positive or neutral words, indicating that tourists are opposite each other. The overall image perception of the Glorious Orient is better; (3) The sentiment analysis shows that tourists are highly satisfied with the Glorious Orient, but some problems that need to be paid attention to are also summarized in the negative emotions.
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Yumin Dai and Yunxuan Cai "Research on image perception of red culture theme park tourist destination based on network text analysis: taking the Glorious Orient as an example", Proc. SPIE 12462, Third International Symposium on Computer Engineering and Intelligent Communications (ISCEIC 2022), 124620M (2 February 2023); https://doi.org/10.1117/12.2660767
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KEYWORDS
Network security
Analytical research
Data mining
Image analysis
Image processing
Statistical analysis
Visualization
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