Sentiment Analysis of Twitter in Tourism Destinations

[EN] 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,...

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Detalles Bibliográficos
Autores: Perez Cabañero, Carmen, Bigne, Enrique, Ruiz Mafe, Carla, Cuenca, Antonio Carlos
Tipo de recurso: capítulo de libro
Fecha de publicación:2020
País:España
Institución:Universitat Politècnica de València (UPV)
Repositorio:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Idioma:inglés
OAI Identifier:oai:riunet.upv.es:10251/148826
Acceso en línea:https://riunet.upv.es/handle/10251/148826
Access Level:acceso abierto
Palabra clave:Web data
Internet data
Big data
Qca
Pls
Sem
Conference
Twitter
eWOM
Tourism
Sentiment analysis
Descripción
Sumario:[EN] 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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