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Jia, F., 2020. A study on the image perception of tourist destinations in coastal cities based on big data analysis. In: Bai, X. and Zhou, H. (eds.), Advances in Water Resources, Environmental Protection, and Sustainable Development. Journal of Coastal Research, Special Issue No. 115, pp. 106-109. Coconut Creek (Florida), ISSN 0749-0208. The attraction of tourist destination is the core element of tourism behavior, which plays a decisive role in the decision-making of tourist destination, and is of great significance to the improvement of the competitiveness of tourist destination and the development of tourism industry. Taking Hangzhou as an example, the semantic emotion of the data text is analyzed, the evaluation model of the attractiveness of tourist destinations is constructed, the coastal cities are analyzed and evaluated using the analysis of big data and semantic networks and IPA analysis results, and the management of the Tourism Administration is provided as a basis for the management of the Coastal City, and the advantages of the coastal city and the improved local and future development direction are put forward with targeted and feasible opinions on the image development and attractiveness of the coastal city. [ABSTRACT FROM AUTHOR]