Using Opinion Mining Techniques in Tourism

被引：43

作者：

Bucur, Cristian ^{[1
,2
]}

机构：

[1] Univ Econ Studies, Bucharest, Romania

[2] Petr Gas Univ Ploiesti, Ploiesti, Romania

来源：

2ND GLOBAL CONFERENCE ON BUSINESS, ECONOMICS, MANAGEMENT AND TOURISM | 2015年 / 23卷

关键词：

opinion mining; sentiment analysis; web mining; hotel reviews; business intelligence;

D O I：

10.1016/S2212-5671(15)00471-2

中图分类号：

F8 [财政、金融];

学科分类号：

0202 ;

摘要：

This paper proposes a platform for extraction and summarizing of opinions expressed by users in tourism related online platforms. Extracting opinions from user generated reviews, regarding aspects specific to hotel services, are useful both to clients looking for accommodation, and also hotels trying to improve their services. The proposed system extracts hotel reviews from internet and classifies them, using an opinion mining technique. Platform is evaluated using a manually pre-classified dataset of user reviews. In the paper the efficiency of algorithms are analyzed using text mining domain specific measures, and are proposed methods for improving the results. (C) 2015 The Authors. Published by Elsevier B.V.

引用

页码：1666 / 1673

页数：8

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