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Tourist expression heterogeneity in multimodal sentiment | Synapse
March 3, 2026
Tourist expression heterogeneity in multimodal sentiment
JZ
Jing Zhang
JL
Jun Li
Dongbei University of Finance and Economics
JM
Jie Mu
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Key Points
Tourist sentiment shows significant heterogeneity across different modalities, indicating diverse emotional responses.
Analysis of multimodal data identifies patterns in tourist expression using sentiment analysis techniques.
Employing advanced data fusion methods enhances the understanding of sentiment in tourist experiences.
Findings highlight the need for tailored marketing strategies to address the varied expressions of tourist sentiment.
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Cite This Study
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Zhang et al. (Tue,) studied this question.
synapsesocial.com/papers/69a75aeec6e9836116a21632
https://doi.org/https://doi.org/10.1016/j.annals.2026.104117