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  • Sentiment analysis applied to tourism: exploring the tourist generated content in the case of a wellness tourism destination
    Publication . George, Olugbenga Akinkunmi; Ramos, Célia M. Q.
    Sentiment analysis applied to tourist-generated content through social media is one of the many sources of information for travellers in the case of a wellness tourism destination. The objectives of exploring tourist-generated content are to analyse the sentiments expressed on social media, in this research about wellness tourism destinations, based on destination reviews, and to identify the motivations that lead tourists to look for this kind of services in the Algarve destination The analysis of the hotel reviews exposes the tourist's opinion of the wellness destination and the grading of the infrastructural facilities and the acclaimed services in the categories of the tourist wellness destination. In attaining the objectives, quantitative approach methods were used to review 1,294 comments manually extracted from TripAdvisor and apply text mining algorithms to assess the sentiment expressed in the comments. The result shows that the three key extracted words frequently used by all categories of the component in the Algarve wellness destination are “bird”, “day”, “experience”, “Faro”, “fish”, “great”, “horse”, “love”, “market”, “massage”, “nice”, “old”, “park”, “Pinetree”, “place”, “relax”, “ride”, “spa”, “time”, “town”, “visit” and “walk”, also revealed some categories of a hotel into the services of spas and massage in the tourist wellness destination mainly satisfy the desire of the tourist. Exploring generated content with sentiment analysis helped to stimulate opinion on destinations with wellness facilities, revealing how the wellness of individuals at tourism destinations are generally satisfied based on keywords that illustrated opinions, shows diverse opinion, which shows that expectations are being met from the comments in TripAdvisor. It also widens the destination management organisation's (DMO) knowledge of the sustainability of destination infrastructures due to tourist views and opinions on destinations. However, generated review content which may be changed due to implicit factors, sometimes gives a psychological time frame view of the individual reviewer.
    2023-07-19Master thesis Open access Show more