Title: Attention information extraction of the foreign visitors using Text Mining

Authors: Koichi Tsujii; Yoshikatsu Fujita; Kazuhiko Tsuda

Addresses: Nippon Travel Agency Corpolation LTD, 2-20-15, Shinbashi, Minato-ku, Tokyo 105-8606, Japan ' Department of Sociology, Teikyo University, 359 Otsuka, Hachioji, Tokyo, 192-0395, Japan ' Graduate School of Business Sciences, University of Tsukuba, Tokyo, 3-29-1, Otsuka, Bunkyo-ku 112-0012, Japan

Abstract: Online hotel reservation is widely used for planning travel today. Users of reservation services usually refer to other users' reviews before making their decision. However, most reviews are not classified appropriately for users' purposes, and it is difficult to read complete reviews at the time of booking. To solve this problem, this paper provides a method to analyse user reviews in order to discover the characteristic expressions according to their purposes and examines some methods to present beneficial information at the time of reservations. Moreover, we extracted the differences between user reviews by area and between hotels through text mining. From the results of our analysis, we found differences between the expressions and the evaluations each hotel.

Keywords: user reviews; review evaluations; text mining; travel planning; online hotel reservations; hotel reservation services; foreign visitors; hotel reviews; online reservations.

DOI: 10.1504/IJISTA.2013.056523

International Journal of Intelligent Systems Technologies and Applications, 2013 Vol.12 No.3/4, pp.194 - 206

Available online: 25 Sep 2013 *

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