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.
| Original language | English |
|---|---|
| Pages (from-to) | 106-118 |
| Number of pages | 13 |
| Journal | International Journal of Services, Technology and Management |
| Volume | 15 |
| Issue number | 1-2 |
| DOIs | |
| Publication status | Published - 1 Feb 2011 |
Keywords
- Data mining
- Product features
- Travel destination reviews
ASJC Scopus subject areas
- General Engineering
- Computer Science Applications
- Strategy and Management
- Marketing