Opinion mining from online travel reviews: A comparative analysis of Chinese major OTAs using semantic association analysis
Sign Up to like & getrecommendations! Published in 2019 at "Tourism Management"
DOI: 10.1016/j.tourman.2019.03.009
Abstract: Abstract Online tourism reviews provide a crucial source of information for the tourism industry, and determining whether they can be effectively identified is key to influencing tourism decision-making. The purpose of this paper is to… read more here.
Keywords: tourism; online travel; semantic association; travel reviews ... See more keywords
Detecting Novelty Seeking From Online Travel Reviews: A Deep Learning Approach
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DOI: 10.1109/access.2023.3253040
Abstract: Travel online reviews is important experience related information for understanding an inherent personality trait, novelty seeking (NS), which influences tourism motivation and the choice of tourism destinations. Manual classification of these reviews is challenging due… read more here.
Keywords: travel; personality; novelty seeking; deep learning ... See more keywords
Multimodality and argumentation in online travel reviews: An action-centered analysis
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DOI: 10.1163/18773109-01002007
Abstract: In this paper we reconstruct the hierarchy of discourse acts that reviewers build in multimodal online reviews for tourist attractions. We aim at showing (1) how reviewers employ different semiotic modes to fulfil the communicative… read more here.
Keywords: argumentation online; reviews action; online travel; multimodality argumentation ... See more keywords