Research on Image Perception of Relong Hot Spring Resort Based on Resource Endowment Combing and Network Information Mining

Xinlei Wu

2022

Abstract

Hot springs have become an important part of health and wellness tourism products with their distinct and unique healing properties. This article takes Guangdong Relong Hot Spring Resort as the research object. On the basis of sorting out the cultural and tourism resource endowment of hot spring tourist destination, the article uses Baidu Index to observe the network attention of Relong Hot Spring from 2011 to the first quarter of 2021, using the ROST semantic network and social network generation tool to obtain the typical high-frequency feature words of tourist evaluation and the positive emotion ratio of Internet word-of-mouth evaluation. Combined with the results of the Internet cloud questionnaire, the article conducts a multi-dimensional research on the image perception of hot spring tourist destination, in order to identify areas to be improved, such as leisure and vacation settings, accommodation and reception facilities, public area equipment, staff service quality, so as to propose development strategies such as coordinated and diversified development, upgrading product levels, focusing on tourist needs and innovative theme marketing. The article provides decision-making basis for the high-quality development of Relong Hot Spring Resort.

Paper Citation

in Harvard Style

Wu X. (2022). Research on Image Perception of Relong Hot Spring Resort Based on Resource Endowment Combing and Network Information Mining. In Proceedings of the 1st International Conference on Public Management, Digital Economy and Internet Technology - Volume 1: ICPDI; ISBN 978-989-758-620-0, SciTePress, pages 257-263. DOI: 10.5220/0011734400003607

in Bibtex Style

@conference{icpdi22,
author={Xinlei Wu},
title={Research on Image Perception of Relong Hot Spring Resort Based on Resource Endowment Combing and Network Information Mining},
booktitle={Proceedings of the 1st International Conference on Public Management, Digital Economy and Internet Technology - Volume 1: ICPDI},
year={2022},
pages={257-263},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011734400003607},
isbn={978-989-758-620-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Public Management, Digital Economy and Internet Technology - Volume 1: ICPDI
TI - Research on Image Perception of Relong Hot Spring Resort Based on Resource Endowment Combing and Network Information Mining
SN - 978-989-758-620-0
AU - Wu X.
PY - 2022
SP - 257
EP - 263
DO - 10.5220/0011734400003607
PB - SciTePress