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Correlating Languages and Sentiment Analysis on the basis of Text-based Reviews

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.


ENTER 2016, Bilbao, Spain, 2016

Autori esterni: Aitor García-Pablos (aDepartment of eTourism and Cultural Heritage and Department of Human Speech and Language Technologies Vicomtech-IK4), Montse Cuadros (aDepartment of eTourism and Cultural Heritage and Department of Human Speech and Language Technologies Vicomtech-IK4), María Teresa Linaza (aDepartment of eTourism and Cultural Heritage and Department of Human Speech and Language Technologies Vicomtech-IK4)
Autori IIT:

Tipo: Contributo in atti di convegno
Area di disciplina: Information Technology and Communication Systems
DOI: 10.1007/978-3-319-28231-2_41 PRINT ISBN: 978-3-319-28230-5
File: chp_10.1007_978-3-319-28231-2_41.pdf

Attività: Social Media Analysis