Constantinos Priporas with his colleagues Elonora Pantano from Middlesex University and Nikolaos Stylos from University of Wolverhampton recently published a peer reviewed paper entitled “You will like it!’ Using open data to predict tourists’ responses to a tourist attraction”.

Continuous progress in technology provides new tools to support tourist decision-making in selecting a tourism destination. The increasing amount of user-generated content released via social networking sites (reviews, comments, and past experiences), has made a great deal of information widely available. Actually, this information is freely accessible online and generates the so-called “open data”. Tourists may access this information to support their decision-making process. Given that the use of open data for tourism purposes is still rare, this study aims to explore the extent to which open data analyses might predict tourists’ response to a certain destination. The Empire State Building as the specific attraction reviewed in TripAdvisor was chosen; a random sample of data consisting of 250 users who considered it terrible (0 stars) and 250 who considered it excellent (5 stars, corresponding to 1 in our data set) was employed, and MathematicaTM, , software was used for data analysis. Findings indicate the extent to which our system is able to identify a trend in consumers’ appreciation of a certain tourist destination/attraction. The implications for the tourist industry are discussed in terms of research and practice. For example, tourism managers may consider adopting open data analysis to make better predictions about the attractiveness of a certain destination (including hotel, restaurant, monuments, museums, etc.).

The full citation for this paper is:

Pantano, E., Priporas, C. V., & Stylos, N. (2017). You will like it! ‘Using open data to predict tourists’ responses to a tourist attraction. Tourism Management, Vol. 60, pp. 430-438