Sentiment Analysis in Tourism

Maria Enache

Economics and Applied Informatics, 2020, issue 1, 81-85

Abstract: One of the most important parts in gathering information is what people think. Users express their opinions and opinions on tourist products and services, since the emergence of social networks. Thus opinions are subjective information that represent feelings, or subjective opinions about products and or services. Every day millions of people travel around the globe for business, vacations, sightseeing or other reasons. An astronomical amount of money is spent on tickets, accommodation, food, transportation and entertainment. Tourism is an information-based business where there are two types of information flows: an information flow is from suppliers to consumers or tourists. This is information about the goods that tourists consume, such as tickets, hotel rooms, entertainment and more. The other information flow consists of aggregated information about tourists to service providers. In this article we will address the information that comes from tourists. When aggregated data about tourists are presented correctly, analyzed by a correct algorithm and used on time, they lead to obtaining quality information for tourism service providers. The analysis of sentiments generated by tourism services on social networks can be a very useful tool for analyzing tourism related data.

Keywords: Sentiment analysis; Social media; Machine learning (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:ddj:fseeai:y:2020:i:1:p:81-85

DOI: 10.35219/eai1584040999

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