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

  • Aitor García-PablosEmail author
  • Angelica Lo Duca
  • Montse Cuadros
  • María Teresa Linaza
  • Andrea Marchetti
Conference paper

Abstract

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.

Keywords

Social media Tourist reviews Destinations Sentiment analysis 

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Aitor García-Pablos
    • 1
    • 2
    Email author
  • Angelica Lo Duca
    • 3
  • Montse Cuadros
    • 1
    • 2
  • María Teresa Linaza
    • 1
    • 2
  • Andrea Marchetti
    • 3
  1. 1.Department of eTourism and Cultural HeritageVicomtech-IK4GipuzkoaSpain
  2. 2.Department of Human Speech and Language TechnologiesVicomtech-IK4GipuzkoaSpain
  3. 3.Institute of Informatics and TelematicsNational Research CouncilPisaItaly

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