PUMA
Istituto di Informatica e Telematica     
Lo Duca A., Marchetti A., García-Pablos A., Cuadros M., Linaza M. T. Correlating Languages and Sentiment Analysis on the basis of Text-based Reviews. In: ENTER 2016 (Bilbao, Spain, 02-02 2016). Proceedings, pp. 565 - 577. Alessandro Inversini, Roland Schegg (eds.). Springer, 2016.
 
 
Abstract
(English)
Customer experiences, in the shape of online reviews, influence other customers and in general, contribute to build a perception of a destination. This work presents the conclusions of a survey to gather user text-based reviews about several categories of destination-related information (accommodation, restaurants, attractions and Points of Interest) from three well-known social media sources (Facebook, FourSquare and GooglePlaces) about eight worldwide destinations with a high overnight rate. Several hypotheses about the correlation between the language and sentiment features of the reviews have been validated over a large dataset of reviews. For example, the analysis detected that the highest number of reviews in a destination is written in the same official language spoken in that place. Furthermore, Dutch speaking people are more positive when writing a review. Finally, English, Italian and Spanish speakers seem to prefer FourSquare while German and French people are quite evenly distributed among FourSquare and GooglePlaces.
URL: http://link.springer.com/chapter/10.1007%2F978-3-319-28231-2_41
DOI: 10.1007/978-3-319-28231-2_41
Subject tourist reviews
Social Media
Sentiment Analysis
destinations
J.4 SOCIAL AND BEHAVIORAL SCIENCES


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