“…Focusing on Twitter, tourism studies have utilised this data source for sentiment analysis to identify tourist preferences and opinions on tourist services (Nadeau et al, 2022;Philander and Zhong, 2016), geographic information (Chua et al, 2016;Piramanayagam and Seal, 2022;Xin and MacEachren, 2020), promotion of tourist attractions (Bokunewicz and Shulman, 2017;Meehan et al, 2016) and international trade show organisation (Geldres-Weiss et al, 2023). However, only a few studies have analysed the usefulness of big data from Twitter to Twitter and tourism demand analyse tourism demand (e.g.…”