Research on Tourism Image Perception of Naozhou Island in Zhanjiang Based on Network Text Analysis
- DOI
- 10.2991/978-94-6463-024-4_19How to use a DOI?
- Keywords
- Island Tourism; Tourism image perception; Zhanjiang Naozhou Island; Network Text Analysis
- Abstract
At present, China still has many islands with rich tourism resources but lagging in tourism development, and most of them do not have a particular tourism image. Studying tourists’ perception of island tourism is of great significance for constructing a differentiated tourism image. With the development of the Internet, online travel notes and comments on island tourism can reflect tourists’ perception of the island’s image. This article takes Zhanjiang’s Naozhou Island, which is in the initial stage of tourism development as an example, and explores tourists’ cognitive and emotional images of Naozhou Island through the network text analysis method. The research finds that characteristic scenic spots and characteristic food are the key elements for creating a differentiated image. According to the situation with the largest proportion of neutral emotions and the related issues of negative emotions, corresponding promotion strategies are proposed to provide a reference for developing similar island tourism.
- 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
TY - CONF AU - Jinfeng Zhong AU - Shipeng Li PY - 2022 DA - 2022/12/12 TI - Research on Tourism Image Perception of Naozhou Island in Zhanjiang Based on Network Text Analysis BT - Proceedings of the 2022 2nd International Conference on Education, Information Management and Service Science (EIMSS 2022) PB - Atlantis Press SP - 169 EP - 180 SN - 2589-4900 UR - https://doi.org/10.2991/978-94-6463-024-4_19 DO - 10.2991/978-94-6463-024-4_19 ID - Zhong2022 ER -