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Decoding Airline Passenger Sentiment Dynamics Using Transformer‐Based Models and Time‐Series Clustering.

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Title: Decoding Airline Passenger Sentiment Dynamics Using Transformer‐Based Models and Time‐Series Clustering.
Authors: Lee, Carmen Kar Hang1 carmenleekh@suss.edu.sg, Tsao, Yu‐Chung2,3
Source: International Journal of Tourism Research. Mar/Apr2025, Vol. 27 Issue 2, p1-15. 15p.
Database: Hospitality & Tourism Complete
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Header DbId: hjh
DbLabel: Hospitality & Tourism Complete
An: 184769093
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        Value: 10.1002/jtr.2794
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        Text: English
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        PageCount: 15
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      – TitleFull: Decoding Airline Passenger Sentiment Dynamics Using Transformer‐Based Models and Time‐Series Clustering.
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              Text: Mar/Apr2025
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              Y: 2025
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