Paper Info
Title
Feature Comparison of Hotel Reviews by Hotel Type using Dependency Graph.
Abstract
When making a hotel reservation on a private or business trip, users use accommodation reservation websites and use hotel reviews posted on websites as supporting information. While there are a variety of review comments posted on hotel reservation websites, comments differ in content, depending on the difference of users' purposes, such as a stay in a business area or that in a leisure area. Although there is a reported method that extracts feature representations from review comments in business areas, it is necessary to verify whether feature representations corresponding to each area characteristic can be extracted in accordance with the difference of areas. In the present study, we first graphed impression comments using co-occurrence restrictions and dependency structures employed by the previously reported method and then extracted feature representations by clustering the graph. By applying this method to each of the business area and the leisure area, we extracted the feature representations and the cluster distribution ratios, both of which differ between the two areas. This enabled us to present the order of importance of the decision-making factors for users when they select hotel accommodations in each area. (C) 2019 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/) Peer-review under responsibility of KES International.
Year
DOI
Venue
2019
10.1016/j.procs.2019.09.306
Procedia Computer Science
Keywords
Field
DocType
Type your keywords here,separated by semicolons
Reservation,Data mining,Graph,Information retrieval,Computer science,Cluster analysis,Dependency graph,Accommodation
Conference
Volume
ISSN
Citations 
159
1877-0509
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Koji Tanaka100.34
Koichi Tsujii200.34
Takashi Ikoma300.34
Kazuhiko Tsuda410847.18