Study on Tourists' Perception of the Grand Canal Cultural Heritage Based on Network Travels

Tourists exhibit a preference for, yet superficial and comprehensive experience of the Grand Canal's cultural heritage, with room for improvement in their engagement. The study, leveraging Python web crawling and ROST text analysis software, reveals that while tourists appreciate the site's cultural significance, their sentiment and overall image perception need enhancement. This research provides insights into the mechanisms underlying tourist perceptions and proposes strategies to promote deeper cultural heritage engagement, offering clear directions for the Grand Canal's tourism development.

Shi, K., Zhang, Y., & Liu, Y. (2019). Study on Tourists’ Perception of the Grand Canal Cultural Heritage Based on Network Travels. 2019 IEEE Fifth International Conference on Big Data Computing Service and Applications (BigDataService), 79–82. https://doi.org/10.1109/bigdataservice.2019.00017