Sentiment Analysis of Twitter in Tourism Destinations

6533b7dafe1ef96bd126e2ff

RESEARCH PRODUCT

Sentiment Analysis of Twitter in Tourism Destinations

Antonio Carlos Cuenca Carmen Pérez Cabañero Carla Ruiz Mafé Enrique Bigné

subject

Electronic word of mouth Qca Tourism destinations Computer science business.industry Web data Twitter Big data Sentiment analysis Conference Advertising Pls Tourism Big data Sentiment analysis Order (business)Sem eWOM Research questions InformationSystems_MISCELLANEOUS business Tourism Internet data

description

[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.

year	journal	country	edition	language
2020-05-12	CARMA 2020 - 3rd International Conference on Advanced Research Methods and Analytics

https://doi.org/10.4995/carma2020.2020.11621

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