Proceedings of the 2022 International Conference on mathematical statistics and economic analysis (MSEA 2022)

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Analysis of Online Reviews of Tourists in 5A Scenic Spots Located in Sichuan Province based on Text Mining

Authors
Qinglin Luo1, Sheng Zhong1, *, Zhaocai Li2
1Sichuan University Business school, Chengdu, China
2Chengdu University of Technology College of Management Science, Chengdu, China
*Corresponding author. Email: szhong666@163.com
Corresponding Author
Sheng Zhong
Available Online 29 December 2022.
DOI
10.2991/978-94-6463-042-8_205How to use a DOI?
Keywords
text mining; online reviews; sentiment analysis
Abstract

How to efficiently process and analyze online reviews of tourists has become one of the key issues for tourism operators today. This helps to identify user concerns and emotional tendencies to a large extent. More importantly, the knowledge gained from data mining can be used to improve the services of the tourist attractions and optimize the quality of the services. In this paper, we use natural language processing technology to analyze online reviews of tourists in 5A scenic spots of Sichuan Province, and determine the positive and negative polarity of tourists’ online reviews. Through text mining of tourists’ online reviews, the concerns and tendencies of tourists in the process of touring are analyzed. In this way, relevant suggestions and measures are proposed to scenic spot managers and tourists in order to optimize scenic spot services and improve the accuracy of tourists’ tourism decisions.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2022 International Conference on mathematical statistics and economic analysis (MSEA 2022)
Series
Advances in Computer Science Research
Publication Date
29 December 2022
ISBN
10.2991/978-94-6463-042-8_205
ISSN
2352-538X
DOI
10.2991/978-94-6463-042-8_205How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Qinglin Luo
AU  - Sheng Zhong
AU  - Zhaocai Li
PY  - 2022
DA  - 2022/12/29
TI  - Analysis of Online Reviews of Tourists in 5A Scenic Spots Located in Sichuan Province based on Text Mining
BT  - Proceedings of the 2022 International Conference on mathematical statistics and economic analysis (MSEA 2022)
PB  - Atlantis Press
SP  - 1412
EP  - 1416
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-042-8_205
DO  - 10.2991/978-94-6463-042-8_205
ID  - Luo2022
ER  -