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Open AccessArticle

Destination Image Analytics Through Traveller-Generated Content

Serra Hunter Fellow, University of Lleida, 25003 Catalonia, Spain
Sustainability 2019, 11(12), 3392; https://doi.org/10.3390/su11123392
Received: 8 May 2019 / Revised: 12 June 2019 / Accepted: 17 June 2019 / Published: 19 June 2019
(This article belongs to the Special Issue Big Data Research for Social Sciences and Social Impact)
The explosion of content generated by users, in parallel with the spectacular growth of social media and the proliferation of mobile devices, is causing a paradigm shift in research. Surveys or interviews are no longer necessary to obtain users’ opinions, because researchers can get this information freely on social media. In the field of tourism, online travel reviews (OTRs) hosted on travel-related websites stand out. The objective of this article is to demonstrate the usefulness of OTRs to analyse the image of a tourist destination. For this, a theoretical and methodological framework is defined, as well as metrics that allow for measuring different aspects (designative, appraisive and prescriptive) of the tourist image. The model is applied to the region of Attica (Greece) through a random sample of 300,000 TripAdvisor OTRs about attractions, activities, restaurants and hotels written in English between 2013 and 2018. The results show trends, preferences, assessments, and opinions from the demand side, which can be useful for destination managers in optimising the distribution of available resources and promoting sustainability. View Full-Text
Keywords: destination image; user-generated content; online travel review; big data analytics; opinion mining; sentiment analysis; resource optimisation; place sustainability; TripAdvisor; Greek Attica destination image; user-generated content; online travel review; big data analytics; opinion mining; sentiment analysis; resource optimisation; place sustainability; TripAdvisor; Greek Attica
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Marine-Roig, E. Destination Image Analytics Through Traveller-Generated Content. Sustainability 2019, 11, 3392.

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