Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/34313
Title: Feature extraction of travel destinations from online Chinese-language customer reviews
Authors: Ye, Q
Law, R 
Li, S
Li, Y
Keywords: Travel destination reviews
Product features
Data mining
Issue Date: 2011
Publisher: InterScience
Source: International journal of services, technology and management, 2011, v. 15, no. 1, p. 106-118 How to cite?
Journal: International journal of services, technology and management 
Abstract: Many customers presently browse a large number of online reviews prior to making purchase decisions to access the word-of-mouth comments of other customers about the products and services in which they are interested. Therefore, online customer reviews serve as a feedback mechanism that can help suppliers to improve their products and services, thus gaining competitive advantages. More specifically, the product feature extractions from such reviews are expected to further illuminate the views and attitudes of customers. This study analyses the customer reviews that are posted by Chinese speakers about travel destinations. Our new approach is based on a recently introduced data mining approach that further explores reviews about travel destinations as a particular type of product. Experiments were conducted using datasets comprised of the reviews of three travel destinations in mainland China that had been posted on the internet. The empirical results prove the validity of the proposed method.
URI: http://hdl.handle.net/10397/34313
ISSN: 1460-6720
EISSN: 1741-525X
DOI: 10.1504/IJSTM.2011.038665
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