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Xi’an tourism destination image analysis via deep learning

Xi’an tourism destination image analysis via deep learning

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2920359635

Xi’an tourism destination image analysis via deep learning

About this item

Full title

Xi’an tourism destination image analysis via deep learning

Publisher

Berlin/Heidelberg: Springer Berlin Heidelberg

Journal title

Journal of ambient intelligence and humanized computing, 2022-11, Vol.13 (11), p.5093-5102

Language

English

Formats

Publication information

Publisher

Berlin/Heidelberg: Springer Berlin Heidelberg

More information

Scope and Contents

Contents

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...

Alternative Titles

Full title

Xi’an tourism destination image analysis via deep learning

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2920359635

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2920359635

Other Identifiers

ISSN

1868-5137

E-ISSN

1868-5145

DOI

10.1007/s12652-020-02344-w

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