| Issue |
E3S Web Conf.
Volume 235, 2021
2020 International Conference on New Energy Technology and Industrial Development (NETID 2020)
|
|
|---|---|---|
| Article Number | 02013 | |
| Number of page(s) | 4 | |
| Section | Industrial Technology Development and Industrial Structure Adjustment and Upgrading | |
| DOI | https://doi.org/10.1051/e3sconf/202123502013 | |
| Published online | 03 February 2021 | |
Perception of Leisure Agricultural Tourism Image Based on Wed Text Analysis: Case of Yearning Tea Plantation
Department of Applied Foreign Languages, Guangdong Polytechnic, Foshan, Guangdong, China
With the in-depth development of online tourism platforms, the online review of products in scenic spots has become an important basis for tourism consumption decisions. Through data mining and analysis of the online review of products in scenic spots, the tourism image perceived by tourists has become an important way to study the tourism image of scenic spots. Taking the Yearning Tea Plantation as an example, the word frequency and the content of tourism image attributes were analyzed by using the ROST CM6 content mining system software to comment on the online tourism platform for the sample of tourists, to understand the tourists’ perception of the tourism image of the Yearning Tea Plantation, and to provide the basis for the improvement and improvement of the tourism image of the leisure agriculture scenic spot.
© The Authors, published by EDP Sciences, 2021
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