Sentiment analysis on tourist satisfaction with rural Homestay Inns based on reviews from the website of online travel agency

Abstract

This paper mainly explores the factors affecting the tourist satisfaction with rural homestay inns (RHIs), and offer suggestions to the RHI managers. Firstly, the Word2vec was adopted to extract the features from the online reviews on ctrip.com about the RHIs around Mount Mogan, and to reduce the dimensionality of the extracted features. Then, sentiment analysis was performed to extract the emotions of each class of features, and an econometric model was constructed to disclose the relationship between RHI feature evaluation and tourist satisfaction. The results show that: the tourist satisfaction with RHIs is positively affected by site, appearance, facility, public space, service, individuation, and marketing, especially by service, individuation, and facility; the more the features mentioned in the reviews, the lower the tourist satisfaction. To sum up, this paper clarifies the relationship between the features of RHI reviews and tourist satisfaction from the angle of review text, laying a theoretical basis for the research into the online reputation of RHIs.