Attention information extraction of the foreign visitors using text mining

被引：0
作者：
Tsujii, Koichi [1 ]
Fujita, Yoshikatsu [2 ]
Tsuda, Kazuhiko [3 ]
机构：
[1] Nippon Travel Agency Corpolation LTD, Minato-ku, Tokyo 105-8606, 2-20-15, Shinbashi
[2] Department of Sociology, Teikyo University, Hachioji, Tokyo, 192-0395
[3] Graduate School of Business Sciences, University of Tsukuba, Otsuka, Bunkyo-ku 112-0012
来源：
International Journal of Intelligent Systems Technologies and Applications | 2013年 / 12卷 / 3-4期
基金：
日本学术振兴会;
关键词：
Evaluation; Hotel; Text mining; Travel; User reviews;
D O I：
10.1504/IJISTA.2013.056523
中图分类号：
学科分类号：
摘要：
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. Copyright © 2013 Inderscience Enterprises Ltd.
引用
收藏
页码：194 / 206
页数：12
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