文献类型：期刊文献

英文题名：Comparative study on online review of different types of hotel

作者：Niu, Tianjiao[1]; Ding, Yusi[2]; Yang, Jianzheng[1]

第一作者：Niu, Tianjiao

机构：[1] Business School, University of Shanghai for Science and Technology, Shanghai, China; [2] Collaborative Innovation Center of ETourism, Tourism College, Beijing Union University, Beijing, China

第一机构：Business School, University of Shanghai for Science and Technology, Shanghai, China

年份：2018

起止页码：75-79

外文期刊名：Proceedings - 2018 5th International Conference on Dependable Systems and Their Applications, DSA 2018

收录：EI(收录号：20190506449686)

语种：英文

外文关键词：Natural language processing systems - Sales - Stars - Hotels - Data structures - Electronic commerce

摘要：With the widely acceptance of e-commerce, the consumer's use of online reviews after shopping on e-commerce platforms is getting more frequent. The online reviews attract a lot of attention from the researchers in recent years. However, most of the researches do not consider the difference on the type of data structure of online reviews and the types of hotel. To this end, this paper categorizes the online review into structured data type and unstructured data type, and comparatively analyzes the customer types, customer satisfaction and the online review data structure of different types of hotel accordingly. Natural language processing techniques are used to analyze the unstructured data, mainly comments in textual format. Key words from comments are extracted, and the levels of customer's concerns in the comments are calculated using term frequency-inverse document frequency (TF-IDF). The results show the difference on data characteristics of online review for different hotel types. ? 2018 IEEE.