Xi’an tourism destination image analysis via deep learning
Xi’an tourism destination image analysis via deep learning
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Berlin/Heidelberg: Springer Berlin Heidelberg
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English
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Publisher
Berlin/Heidelberg: Springer Berlin Heidelberg
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Existing methods focus on destination image construction by textual description or visual content separately. However, descriptions and images are closely related since they are taken from the same reviews and represent tourists impression of the city. It’s questionable to study them separately. In this paper, we used both images and descriptions f...
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Xi’an tourism destination image analysis via deep learning
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TN_cdi_proquest_journals_2920359635
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2920359635
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ISSN
1868-5137
E-ISSN
1868-5145
DOI
10.1007/s12652-020-02344-w