Proceedings of the 2022 8th International Conference on Humanities and Social Science Research (ICHSSR 2022)

Comparison of Tourist Satisfaction Characteristics Based on Text Mining

Take Yunnan Minzu Village and Stone Forest Scenic Area as Examples

Authors
Xingkai Wen1, a, Xinghao Jin2, b, Liping Che3, c, Jiaying Liu4, d, Jun Lu5, e, *
1School of Mathematics and Statistics, Northeast Normal University, ChangChun, China 130024
2School of Statistics and Mathematics, Yunnan University of Finance and Economics, KunMing, China 650221
3School of Statistics and Mathematics, Yunnan University of Finance and Economics, KunMing, China 650221
4School of Statistics and Mathematics, Yunnan University of Finance and Economics, KunMing, China 650221
5School of Statistics and Mathematics, Yunnan University of Finance and Economics, KunMing, China 650221
Corresponding Author
Jun Lu
Available Online 1 June 2022.
DOI
https://doi.org/10.2991/assehr.k.220504.021How to use a DOI?
Keywords
Text Mining; Tourist Reviews; Tourist Satisfaction; Semantic Web; IPA Analysis; Energy
Abstract

In order to promote the goal of building a number of world-class tourist attractions mentioned in the 14th Five-Year Plan and the 2035 Vision of Yunnan Province, and to promote the recovery of Yunnan’s tourism industry, which has been hit by the new crown epidemic, this article uses the text based on tourists’ online reviews. The mining method compares and analyzes the characteristics of tourists’ satisfaction with two different types of scenic spots in Yunnan Minzu Village and Stone Forest Scenic Area from three aspects: high-frequency word analysis, semantic network analysis and sentiment analysis, and analyzes tourists’ satisfaction with the two different types of scenic spots. The difference, combined with the emotional information of tourists’ comments, was used to compare the tourism experience value of the two scenic spots by using the importance-representation analysis method. Finally, the field investigation verifies the analysis results, and puts forward a series of feasible suggestions for the planning, construction and operation management of these two scenic spots and other scenic spots of the same type in Yunnan Province.

Copyright
© 2022 The Authors. Published by Atlantis Press SARL.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license.

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Volume Title
Proceedings of the 2022 8th International Conference on Humanities and Social Science Research (ICHSSR 2022)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
1 June 2022
ISBN
978-94-6239-580-0
ISSN
2352-5398
DOI
https://doi.org/10.2991/assehr.k.220504.021How to use a DOI?
Copyright
© 2022 The Authors. Published by Atlantis Press SARL.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license.

Cite this article

TY  - CONF
AU  - Xingkai Wen
AU  - Xinghao Jin
AU  - Liping Che
AU  - Jiaying Liu
AU  - Jun Lu
PY  - 2022
DA  - 2022/06/01
TI  - Comparison of Tourist Satisfaction Characteristics Based on Text Mining
BT  - Proceedings of the 2022 8th International Conference on Humanities and Social Science Research (ICHSSR 2022)
PB  - Atlantis Press
SP  - 108
EP  - 115
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.220504.021
DO  - https://doi.org/10.2991/assehr.k.220504.021
ID  - Wen2022
ER  -