Polytechnic University of Valencia Congress, CARMA 2020 - 3rd International Conference on Advanced Research Methods and Analytics

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Sentiment Analysis of Twitter in Tourism Destinations
Carmen Perez Cabañero, Enrique Bigne, Carla Ruiz Mafe, Antonio Carlos Cuenca

Last modified: 12-05-2020


Given the importance of electronic word of mouth (eWOM), this paper
analyses the content of messages generated by users related to a tourist
destination and shared through Twitter. We propose three research questions
regarding eWOM behaviour in Twitter focused on the expertise of the
reviewer, sentiment analysis of a tweet and its content. In order to address
those research questions we carry out text mining analysis by retrieving
existing information on Twitter (over 1500 tweets) regarding to Venice as a
tourist destination.

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