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Proceedings of the 2nd International Conference on Information, Control and Automation, ICICA 2022, December 2-4, 2022, Chongqing, China

Research Article

Research on Leisure Experience of Zhejiang Museum Tourists Based on Network Text Analysis

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  • @INPROCEEDINGS{10.4108/eai.2-12-2022.2328059,
        author={Mengru  Xu and Qiucheng  Li},
        title={Research on Leisure Experience of Zhejiang Museum Tourists Based on Network Text Analysis},
        proceedings={Proceedings of the 2nd International Conference on Information, Control and Automation, ICICA 2022, December 2-4, 2022, Chongqing, China},
        publisher={EAI},
        proceedings_a={ICICA},
        year={2023},
        month={3},
        keywords={museum tourism; leisure experience; text analysis; visitor perception; data acquisition},
        doi={10.4108/eai.2-12-2022.2328059}
    }
    
  • Mengru Xu
    Qiucheng Li
    Year: 2023
    Research on Leisure Experience of Zhejiang Museum Tourists Based on Network Text Analysis
    ICICA
    EAI
    DOI: 10.4108/eai.2-12-2022.2328059
Mengru Xu1, Qiucheng Li1,*
  • 1: Zhejiang Gongshang University
*Contact email: lqcfrank@zjgsu.edu.cn

Abstract

Because of the improvement of people's material level, people's demand for spiritual pursuit and tourism and leisure has greatly increased. As a public space for cultural exchange and communication, the museum has the dual attributes of education and leisure. In order to study the leisure experience characteristics and emotions of tourists in Zhejiang Museum tourism, and promote the development of museum leisure tourism. From the perspective of tourists' perception, this paper uses the comments of tourists from Zhejiang Provincial Museum on Ctrip's online website as the analysis text. Extracting high frequency feature words by ROST CM6 software, summarizing the dimension of leisure experience of tourists in Zhejiang Museum, analyzing the social network between high-frequency feature words, and analyzing tourists' emotional tendency to museum leisure experience.

Keywords
museum tourism; leisure experience; text analysis; visitor perception; data acquisition
Published
2023-03-27
Publisher
EAI
http://dx.doi.org/10.4108/eai.2-12-2022.2328059
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