Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/91434
PIRA download icon_1.1View/Download Full Text
DC FieldValueLanguage
dc.contributorSchool of Design-
dc.creatorChai, C-
dc.creatorSong, Y-
dc.creatorQin, Z-
dc.date.accessioned2021-11-03T06:53:37Z-
dc.date.available2021-11-03T06:53:37Z-
dc.identifier.urihttp://hdl.handle.net/10397/91434-
dc.language.isoenen_US
dc.publisherMDPI AGen_US
dc.rights© 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/4.0/).en_US
dc.rightsThe following publication Chai, C.; Song, Y.; Qin, Z. A Thousand Words Express a Common Idea? Understanding International Tourists’ Reviews of Mt. Huangshan, China, through a Deep Learning Approach. Land 2021, 10, 549 is available at https://doi.org/10.3390/land10060549en_US
dc.subjectBERTen_US
dc.subjectDeep learningen_US
dc.subjectLandscapeen_US
dc.subjectLandscape experienceen_US
dc.subjectNatural language processingen_US
dc.subjectTourist experienceen_US
dc.subjectTourist reviewen_US
dc.titleA thousand words express a common idea? Understanding international tourists’ reviews of Mt. Huangshan, China, through a deep learning approachen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume10-
dc.identifier.issue6-
dc.identifier.doi10.3390/land10060549-
dcterms.abstractTourists’ experiential perceptions and specific behaviors are of importance to facilitate geographers’ and planners’ understanding of landscape surroundings. In addition, the potentially significant role of online user generated content (UGC) in tourism landscape research has only received limited attention, especially in the era of artificial intelligence. The motivation of the present study is to understand international tourists’ online reviews of Mt. Huangshan in China. Through a state-of-the-art natural language processing network (BERT) analyzing posted reviews across international tourists, our results facilitate relevant landscape development and design decisions. Second, the proposed analytic method can be an exemplified model to inspire relevant landscape planners and decision-makers to conduct future researches. Through the clustering results, several key topics are revealed, including international tourists’ perceptual image of Mt. Huangshan, tour route planning, and negative experience of staying.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationLand, June 2021, v. 10, no. 6, 549-
dcterms.isPartOfLand-
dcterms.issued2021-06-
dc.identifier.scopus2-s2.0-85107195941-
dc.identifier.eissn2073-445X-
dc.identifier.artn549-
dc.description.validate202110 bcvc-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_Scopus/WOSen_US
dc.description.pubStatusPublisheden_US
Appears in Collections:Journal/Magazine Article
Files in This Item:
File Description SizeFormat 
land-10-00549.pdf1.8 MBAdobe PDFView/Open
Open Access Information
Status open access
File Version Version of Record
Access
View full-text via PolyU eLinks SFX Query
Show simple item record

Page views

5
Citations as of Jun 26, 2022

SCOPUSTM   
Citations

1
Citations as of Jun 30, 2022

WEB OF SCIENCETM
Citations

1
Citations as of Jun 30, 2022

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.