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- W4311983224 endingPage "101063" @default.
- W4311983224 startingPage "101063" @default.
- W4311983224 abstract "Scholarly work regarding tourist behavior requires more empirical support especially concerning methods to extract emotions and sentiments from user-generated comments on social media. Research on predicting behavioral intentions of foreign tourists who faced culture shock (or unexpected surprise) has been under-represented in tourism literature. This paper used Aspect Based Sentiment Analysis (ABSA) and Emotion analysis (EA) to predict tourist behavior from User Generated Comments (UGCs) post their travel in three Asian countries. Findings reveal the presence of a sizeable inactive group of tourists who were indifferent towards post-travel behavioral intentions. The study recommends destination managers to consider managing tourist emotions, specifically sad surprise, in the travel phase of the tourists to strategically manage the post-travel behavior of tourists on social media. A conceptual model has been presented to operationalise these constructs to broadly predict destination optimism and destination pessimism proclivities of the tourists." @default.
- W4311983224 created "2023-01-03" @default.
- W4311983224 creator A5043784244 @default.
- W4311983224 date "2023-01-01" @default.
- W4311983224 modified "2023-10-17" @default.
- W4311983224 title "Unexpected surprise: Emotion analysis and aspect based sentiment analysis (ABSA) of user generated comments to study behavioral intentions of tourists" @default.
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- W4311983224 doi "https://doi.org/10.1016/j.tmp.2022.101063" @default.
- W4311983224 hasPublicationYear "2023" @default.
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