2014 IEEE/ACM 7th International Conference on Utility and Cloud Computing (UCC) (2014)
London, United Kingdom
Dec. 8, 2014 to Dec. 11, 2014
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/UCC.2014.102
Tourist destinations are increasingly affected by the travel-related information shared through the Web. More and more people first check the previous experiences of other customers before doing their own decision-making. This paper explores the image of travel destinations by analysing the content of opinions shared using sentiment analysis techniques. A sentiment score is obtained and analysed considering several tourist features of the travel destination as well as the usefulness of shared opinions. A well known e-word of mouth community and the city of Barcelona have been used as a case study. The results obtained reveal the sentiment orientation towards the city of Barcelona and its tourist offer. Finally, a sensitivity analysis related to the calculation of the sentiment score is included.
Communities, Cities and towns, Sentiment analysis, Semantics, Histograms, Analysis of variance, HTML
M. Gonzalez-Rodriguez, M. Martinez-Torres and S. Toral, "Monitoring Travel-Related Information on Social Media through Sentiment Analysis," 2014 IEEE/ACM 7th International Conference on Utility and Cloud Computing (UCC), London, United Kingdom, 2014, pp. 636-641.