Publication: Analysing TripAdvisor reviews of tourist attractions in Phuket, Thailand
Issued Date
2019-12-01
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File Type
video/youtube
ISSN
02615177
Other identifier(s)
2-s2.0-85068431431
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Mahidol University
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SCOPUS
Bibliographic Citation
Tourism Management. Vol.75, (2019), 550-568
Suggested Citation
Viriya Taecharungroj, Boonyanit Mathayomchan Analysing TripAdvisor reviews of tourist attractions in Phuket, Thailand. Tourism Management. Vol.75, (2019), 550-568. doi:10.1016/j.tourman.2019.06.020 Retrieved from: https://repository.li.mahidol.ac.th/handle/20.500.14594/50413
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Title
Analysing TripAdvisor reviews of tourist attractions in Phuket, Thailand
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Abstract
© 2019 Elsevier Ltd The purpose of the current research is to develop a methodology that can analyse online reviews using machine learning techniques in such a way that practitioners in the fields of tourism and destination management can understand and apply the technique to improve their attractions. This research studies the TripAdvisor reviews of tourist attractions, including beaches, islands, temples, a pedestrian street, and markets in Phuket, Thailand. In total, 65,079 online reviews were analysed using two machine learning techniques: latent Dirichlet allocation (LDA) and naïve Bayes modelling. LDA modelling helps the researchers determine the dimensions of each type of attraction. Four dimensions were specified for beaches and islands, three dimensions for a pedestrian street and temples, and two dimensions for markets. This research also developed two practical tools – dimensional salience-valence analysis (DSVA) and lexical salience-valence analysis (LSVA) – and used them to suggest actions for the Tourism Authority of Thailand (TAT).