Research on Experience Perception of Qingcheng Mountain Homestay based on Network Text Analysis

Authors

  • Lihui Xie
  • Xiao Xiao

DOI:

https://doi.org/10.54097/jid.v4i1.10681

Keywords:

Homestay, Qingcheng Mountain, Network Text Analysis, Experience Perception

Abstract

This paper selects Qingcheng Mountain homestay as the research object, collects online reviews of the top 50 homestays ranked by Ctrip's popularity on the Internet through octopus collectors, and obtains 3008 valid samples through sorting. Using text analysis research methods, this paper uses ROST CM6 software tools to analyze high-frequency words and emotional images, and discusses consumers' experience and perception of Qingcheng Mountain homestay. The study found that consumers' perception of Qingcheng Mountain B&B mainly reflected in five aspects: geographical environment, B&B facilities, service quality, emotional evaluation, and willingness to stay again. They were most concerned about the health situation and infrastructure inside the B&B, as well as the service attitude of the B&B service providers. Therefore, operators of B&B in Qingchengshan should strengthen the health management of B&B, update the basic functional facilities of B&B, optimize the service quality, and further improve the accommodation experience of consumers.

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References

Xu Ling. Improving the quality of homestays based on tourist perception: A case study of Suzhou City, Jiangsu Province [J]. Social Scientist, 2020, No.275 (03): 80-87.

Gao Jie, Shi Jingshuai. A Study on the Consumption Experience of Fishing Village Homestay Tourists Based on Online Text [J]. Foreign Economic and Trade Journal, 2023, No.346 (04): 36-41.

Wang Wenjing, Chen Xueqiong. A Study on the Perception of Homestay Experience Based on Network Text Analysis: Taking the Homestay Industry in Jiangsu Province as an Example [J]. Journal of Nanjing Open University, 2022, No.108 (03): 73-78.

Lin Yubin, Guo Weifeng, Lin Kaimiao. Research on the experience of homestay in world heritage sites based on online text analysis -- taking Mount Wuyi homestay as an example [J]. Journal of Xi'an University of Architecture and Technology (Social Science Edition), 2020,39 (04): 66-73+87.

Jiang Qiao, Shi Chunyun, Shen Shikun, Zhang Yanyu. Research on the perception of Xuzhou homestay tourists based on online texts [J]. Journal of Jiangsu Normal University (Natural Science Edition), 2022,40 (01): 14-18.

Zhai Lei. Research on Service Quality Evaluation of Guzang Shuhua Inn Based on Network Text Analysis [J]. Industry and Technology Forum, 2023,22 (01): 70-71.

Wang Ling, Guang Shanjun, Wu Xiaojun. Research on tourists' perception of homestay experience based on Airbnb network text data [J]. Journal of Chang'an University (Social Science Edition), 2017,19 (05): 49-56.

Wang Huiling, Wu Mengying. Construction of an Evaluation Model for Family Hotels in China Based on Social Network Analysis [J]. Journal of Management, 2015,12 (03): 433-438.

Jiang Qian, Liu Sha, Tang Hong, Liu Yunqiang. Research on Semantic network and Perception Dimensions of Short rent Home stay Online Comments -- Text mining Based on Tujia and Airbnb [J]. Resource Development and Market, 2022,38 (02): 239-248.

Jiang Qiao, Shi Chunyun, Shen Shikun, Zhang Yanyu. Research on the perception of Xuzhou homestay tourists based on online texts [J]. Journal of Jiangsu Normal University (Natural Science Edition), 2022,40 (01): 14-18.

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Published

20-07-2023

Issue

Section

Articles

How to Cite

Xie, L., & Xiao, X. (2023). Research on Experience Perception of Qingcheng Mountain Homestay based on Network Text Analysis. Journal of Innovation and Development, 4(1), 30-34. https://doi.org/10.54097/jid.v4i1.10681