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http://dx.doi.org/10.13106/jafeb.2021.vol8.no8.0443

Analyzing Online Customer Reviews for the Hotel Classification in Vietnam  

NGUYEN, Ha Thi Thu (Department of Ecommerce, Electric Power University)
TRAN, Tuan Minh (Vietnam Academy of Social Sciences)
NGUYEN, Giang Binh (Vietnam Academy of Social Sciences)
Publication Information
The Journal of Asian Finance, Economics and Business / v.8, no.8, 2021 , pp. 443-451 More about this Journal
Abstract
The classification standards for hotels in Vietnam are different from many other hotel classification standards in the world. This study aims to analyze customer reviews on the TripAdvisor website to develop a new algorithm for hotel rating that is independent of Vietnam's hotel classification standards. This method can be applied to individual hotels, or hotels of a region or the whole country, while online booking sites only rate individual hotels. Data was crawled from TripAdvisor with 22,287 reviews of 5 cities in Vietnam. This study used a statistical model to analyze the review dataset and build an algorithm to rate hotels according to aspects or hotel overall. The results have less rating deviation when compared to the TripAdvisor system. This study also supports hotel managers to regularly update the status of their hotels using data from customer reviews, from which, managers can strategize long-term solutions to improve the quality of the hotel in all aspects and attract more travelers to Vietnam. Moreover, this method can be developed into an automatic system to rate hotels and update the status of service quality more quickly, thus, saving time and costs.
Keywords
Hotel Management; Customer's Review; Vietnamese Hotel; Aspect Rating; Overall Rating;
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