Towards Extracting the Hotel Evaluations from the Comments by the Foreign Tourists with Text Mining

Online hotel reservation system is commonly used for travel planning. We usually refer to users' reviews before making reservation. However, most of reviews are not classified appropriately for travel objectives so far, and make it difficult to read whole reviews promptly. For those backgrounds, this paper provides analyzing method for use reviews to find out the characteristics of expressions according to their purposes, and examined some methods to present beneficial information at the time of reservation. Moreover, we extract the differences of user reviews by areas and each accommodation through text mining. From the results of our analysis, we find differences between the expressions and the evaluations each accommodation.