Based on User Generated Content (UGC) data, namely Unmanned Aerial Vehicle (UAV) photos and corresponding social media captions, this paper uses the methods of AI cognitive analysis and GIS spatial analysis to profile UAV photography tourists. The findings of this study reveal that UAV photography tourists primarily take pictures of natural landscapes, most of which do not contain humans, concentrated in the coastal regions. Additionally, a sentiment analysis indicates that tourists’ opinions of photography are typically positive.


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    Titel :

    Profiling unmanned aerial vehicle photography tourists


    Beteiligte:
    Chen, Xiliang (Autor:in) / Li, Gang (Autor:in) / Yang, Lan (Autor:in) / Nie, Qifan (Autor:in) / Ye, Xinyue (Autor:in) / Liang, Yanjun (Autor:in) / Xu, Tingting (Autor:in)

    Erschienen in:

    Current Issues in Tourism ; 23 , 14 ; 1705-1710


    Erscheinungsdatum :

    17.07.2020


    Format / Umfang :

    6 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Unbekannt




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