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- W4312713527 abstract "In-depth exploration of the distribution of attractions and the emotional characteristics of tourists is an important tool to promote tourism in China. Firstly, this paper uses python technology to obtain and pre-process the 5A attraction data of 31 provinces (cities and districts) in China from 2007-to 2021. Secondly, SnowNLP was improved and the sentiment was classified for visitor comments while sentiment values were calculated. Finally, the Spatio-temporal characteristics of the distribution of 5A attractions and tourists' emotions in China are explored in terms of the overall distribution, Spatio-temporal evolution, and Spatio-temporal changes in tourists' emotions respectively. Results show that: (1) China's 5A attractions are spatially characterized by an aggregated distribution, while their degree of aggregation shows a linearly decreasing trend; in time, the total number of 5A attractions rises year by year, and the annual increase shows a decreasing trend year by year. (2) Visitor comments as a whole show a gradual increase with the month, and their sentiment value tends to decrease month by month. (3) Popular attractions are skewed towards the eastern region and negative attractions towards the western region. Knowledge of the development of China's tourism industry and the temporal and spatial changes in tourists' emotions can guide the development of the tourism industry and promote urban-rural integration." @default.
- W4312713527 created "2023-01-05" @default.
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- W4312713527 date "2022-08-15" @default.
- W4312713527 modified "2023-09-26" @default.
- W4312713527 title "A study on the distribution of 5A attractions and the Spatio-temporal characteristics of tourists' emotions in China" @default.
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- W4312713527 doi "https://doi.org/10.1109/geoinformatics57846.2022.9963808" @default.
- W4312713527 hasPublicationYear "2022" @default.
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