MDIVis: Visual analytics of multiple destination images on tourism user generated content

MDIVis: Visual analytics of multiple destination images on tourism user generated content

Abundant tourism user-generated content (UGC) contains a wealth of cognitive and emotional information, providing valuable data for building destination images that depict tourists’ experiences and appraisal of the destinations during the tours. In particular, multiple destination images can assist...

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Bibliographic Details
Main Authors: Changlin Li, Mengqi Cao, Xiaolin Wen, Haotian Zhu, Shangsong Liu, Xinyi Zhang, Min Zhu
Format: Article
Language:English
Published: Elsevier 2022-09-01
Series:Visual Informatics
Subjects:
Tourism destination images
Visual analysis
Sentiment visualization
User-generated content
Online Access:http://www.sciencedirect.com/science/article/pii/S2468502X22000419

Internet

http://www.sciencedirect.com/science/article/pii/S2468502X22000419

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