A method for Vietnamese Hotel Online Rating based on Big Data Analysis: Vietnames Hotel Rating based on Big Data analysis

Ha Nguyen Thi Thu, Binh Giang Nguyen, N. X. Trung, Vinh Ho Ngoc
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Abstract

The rapid growth of online booking websites has created a new trend in hotel star rating based on customer reviews. Therefore, there is a discrepancy between hotel ratings by traveler on the Internet and hotel ratings according to national standards, especially for 4–5 stars hotels. In recent years, a number of hotel rating organizations on the world have incorporated Internet star rating standards to update their hotel star rating standards. In Vietnam, the hotel star rating standards have been updated since 2015 and have not yet approached online hotel star ratings. In this study, a new hotel rating method is proposed using Internet traveler reviews for rating. Data was collected from TripAdvisor about hotels in Vietnam from 4-5 stars of 5 major cities. Deep neural network model is used to classify hotels from 3 to 5 stars. The results shown that, the deviation between online rating and actual star rating is 0.6. This is also a suggestion for hotel managers to understand about their customers and improve the quality of their hotels to match the common standards of many different customers around the world.
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基于大数据分析的越南酒店在线评级方法:基于大数据分析的越南酒店评级
在线预订网站的快速发展创造了一种基于顾客评论的酒店星级评定的新趋势。因此,旅行者在网上对酒店的评价与国家标准对酒店的评价存在差异,尤其是4-5星级酒店。近年来,世界上许多酒店评级机构都采用了互联网星级标准来更新其酒店星级标准。在越南,酒店星级评定标准从2015年开始更新,尚未接近在线酒店星级评定。在本研究中,提出了一种新的酒店评级方法,使用互联网旅客评论进行评级。我们从TripAdvisor收集了越南5个主要城市的4-5星级酒店的数据。采用深度神经网络模型对酒店进行3星级到5星级的分类。结果表明,在线星级与实际星级的偏差为0.6。这也是对酒店管理者的一个建议,即了解他们的顾客,提高酒店的质量,以符合世界各地许多不同顾客的共同标准。
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