Research on theme mining of tourists' perception in intangible cultural heritage homestay scene based on LDA model
Wanlian Li
School of Business Administration, Anhui University of Finance and Economics
Zhangjie Zhu
School of Business Administration, Anhui University of Finance and Economics
DOI: https://doi.org/10.59429/bam.v8i1.13636
Keywords: intangible cultural heritage homestay; scene; visitor perception; LDA models; sentiment analysis
Abstract
The integration of intangible cultural heritage and the homestay industry is conducive to the inheritance, protection and practice of intangible cultural heritage, and can also promote destination culture and enhance tourists' cultural identity. Based on the scene theory, this study constructs a scene perception framework from three dimensions: material, society, and culture. It uses Python web scraping, LDA topic analysis, and SnowNLP sentiment analysis to extract themes and conduct sentiment analysis on online reviews of intangible cultural heritage homestays. The results show that tourists' perception is concentrated on 6 themes: environment, cultural experience, service, customer group, facilities and comfort. Their emotions are generally positive, and negative emotions are mostly related to facilities. Based on this, it is proposed to improve the scene of intangible cultural heritage homestays from aspects such as facility optimization, service enhancement, and highlighting the characteristics of intangible cultural heritage.
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