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Understanding Tourist Perceptions and Expectations During Pandemic Through Social Media Big Data
Abstract
This chapter describes social media's role in understanding the impact of the COVID-19 pandemic on the tourism industry. At first, collecting large amounts of unstructured data from tourism-related digital media, social media, and search engines is explained. Then how these data can be analysed with artificial intelligence and machine learning-based sentiment analysis, content analysis, and topic modelling algorithms is described based on similar studies in the literature. Finally, how the collected data can be used to understand tourists' positive and negative experiences in the pandemic and determine their expectations from tourism enterprises, tourism-related public institutions, and government officials is expressed. Consequently, this chapter summarises how the digital world's big data resources can be used to extract knowledge about tourism during the pandemic.
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