Research on the perception of the terrain image of the tourism destination based on multimodal user-generated content data.
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ABSTRACT:
SUBMITTER: Hu T
PROVIDER: S-EPMC10909169 | biostudies-literature | 2024
REPOSITORIES: biostudies-literature
Publications
Research on the perception of the terrain image of the tourism destination based on multimodal user-generated content data.
PeerJ. Computer science 20240131
Destination image is a powerful means by which destinations compete in the tourism industry, and the accurate identification of a destination image better serves destination marketing and management. This study uses multimodal data, such as text, images, and videos uploaded by tourists, to construct a comprehensive and systematic destination image process. The "cognitive-emotional-overall image" model, latent Dirichlet allocation (LDA) model, and deep residual neural networks are implemented to ...[more]
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2021-09-01 | GSE177482 | GEO