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Tracking image change of luxury travel destination by using text-mining: The case of Macau
Ng, K.; Liu, Y.; Liu, T. C.
2019-09-01
Source PublicationProceedings of The Mystique of Luxury Brands Conference 2019
AbstractThis study examines tourists’ perceptions of the destination image (DI) of Macau from 2014 to 2018. Web crawlers were employed to collect reviews from the ‘Macau attraction’ page for both Ctrip and TripAdvisor. A total of 51,191 reviews were collected (41,352 from Ctrip and 9,839 from TripAdvisor). The contents of reviews were analysed by using NVivo 11. It has been found that the frequency of ‘casino’ related words was decreasing in reviews by both international and mainland Chinese tourists, while new words have come up in recent years (e.g. Batman, cable car, and Ferris wheel). Additionally, international and mainland Chinese tourists perceive the DI of Macau differently. Mainland Chinese tourists are more sensitive to new attractions, while international tourists are not. The study also shows that there are differences between the government-projected DI and the tourist-perceived DI. Only the ‘City of Culture’ and ‘A World Centre of Tourism and Leisure’ have built recognition with tourists.
Keyworddestination image online reviews tourist-generated content text-mining
Language英語English
The Source to ArticlePB_Publication
PUB ID45402
Document TypeConference paper
CollectionCENTRE FOR CONTINUING EDUCATION
Recommended Citation
GB/T 7714
Ng, K.,Liu, Y.,Liu, T. C.. Tracking image change of luxury travel destination by using text-mining: The case of Macau[C], 2019.
APA Ng, K.., Liu, Y.., & Liu, T. C. (2019). Tracking image change of luxury travel destination by using text-mining: The case of Macau. Proceedings of The Mystique of Luxury Brands Conference 2019.
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