Temporal and spatial analysis of the impact of epidemic situation on tourists' emotional fluctuation in China based on text mining
2022 International Conference on Algorithms, Microchips and Network Applications
; 12176, 2022.
Article
in English
| Scopus | ID: covidwho-1923086
ABSTRACT
After the outbreak of COVID in Wuhan, it has had an impact on all aspects of tourism industry. Tourists' sentiment is an important factor for people to make tourism decisions. The implementation of tourism decisions affects the development of tourism to a certain extent. In order to explore the impact of the COVID-19 on the tourism industry from the micro level of tourist sentiment. Firstly, the text mining algorithm is used to analyze the emotion of tourism microblog text, and the tourism emotion index TSI is constructed. Then combined with the tourism heat index THI, the tourist sentiment TS comprehensive index is constructed. The temporal and spatial differences of the impact of the epidemic on tourists' emotion are analyzed by comparing the tourists' emotion and epidemic data in different regions and stages. From the temporal and spatial distribution of tourist sentiment and epidemic situation, they are not completely parallel related, and there is spatial heterogeneity. Tourist sentiment is affected by multiple factors such as economic level and geographical location. The change of tourists' mood does not only depend on the change of epidemic data, but also related to many factors such as economic level and geographical location. © COPYRIGHT SPIE. Downloading of the is permitted for personal use only.
COVID-19; spatiotemporal differentiation; text mining; tourist sentiment analyse; Data mining; Epidemiology; Geographic information systems; Spatial variables measurement; Economic level; Geographical locations; Level location; Sentiment analysis; Temporal analysis; Temporal and spatial; Text-mining; Tourism industry; Tourist sentiment analyze
Full text:
Available
Collection:
Databases of international organizations
Database:
Scopus
Type of study:
Experimental Studies
Language:
English
Journal:
2022 International Conference on Algorithms, Microchips and Network Applications
Year:
2022
Document Type:
Article
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