Abstract
In recent years there has been a tremendous growth of user-generated content. In the travel, tourism and hospitality fields, travel blogs, and later online travel reviews (OTRs), have proliferated. Many researchers have taken advantage of this abundant, spontaneous and freely accessible information source and have analysed OTRs to extract insights about attractions, hotels and restaurants to improve management and marketing policies. OTRs are tourist destination image (TDI) formation agents because they show the image perceived (and transmitted) by visitors and are consulted by prospective tourists. This research proposes a conceptual and methodological framework to analyse and measure TDI from textual and paratextual elements in OTRs. The model was applied on a random sample of a million OTRs (200,000 on Things to Do, 300,000 on Hotels, and 500,000 on Restaurants) written in English, between 2013 and 2017, by visitors of the Canary Islands.
Keywords
- Destination image
- Online travel review
- Big data analytics
- Tourist attraction
- Hospitality
- Canary islands
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Acknowledgements
The authors are pleased to acknowledge the support of the Spanish Ministry of Economy, Industry and Competitiveness (Grant id.: TURCOLAB ECO2017-88984-R and TIN2015-71799-C2-2-P). Authors also acknowledge the support of the Catalan Government for the accreditation as Recognised Research Group TURESCO (2017 SG4 49) and the University of Lleida (Grant id.: 2017-TR265).
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Marine-Roig, E., Martin-Fuentes, E., Ferrer-Rosell, B. (2019). A Framework for Destination Image Analytics. In: Pesonen, J., Neidhardt, J. (eds) Information and Communication Technologies in Tourism 2019. Springer, Cham. https://doi.org/10.1007/978-3-030-05940-8_13
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