Research on Tourism Image Perception of Xiangshan Park Based on Web Text Analysis

DOI

10.2991/978-94-6463-042-8_16How to use a DOI?

Keywords

network text analysis; Tourism image; Image perception; xiangshan park

Abstract

A good tourism image is not only the basis for customers to choose tourism destinations, but also an important basis for tourism destinations to maintain the source of tourists. This paper uses the Octopus collector to collect tourist travel notes on Meituan Travel Network as a data sample, and uses ROST content Mining as a tool to conduct word frequency analysis and sentiment analysis of tourist travel notes in Xiangshan Park. The study found that Guilin Xiangshan Park has problems such as outdated equipment and facilities, poor personnel management, irregular fare formulation, and poor sanitation. On this basis, five suggestions are put forward to scientifically locate the image of scenic spots, maintain scenic facilities on a regular basis, strengthen personnel management, reasonably adjust fares, and strengthen hygiene management.

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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TY  - CONF
AU  - Xiaoling Li
AU  - Yonghui Sun
PY  - 2022
DA  - 2022/12/29
TI  - Research on Tourism Image Perception of Xiangshan Park Based on Web Text Analysis
BT  - Proceedings of the 2022 International Conference on mathematical statistics and economic analysis (MSEA 2022)
PB  - Atlantis Press
SP  - 95
EP  - 100
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-042-8_16
DO  - 10.2991/978-94-6463-042-8_16
ID  - Li2022
ER  -