Profiling unmanned aerial vehicle photography tourists
Document Type
Letter to the Editor
Publication Date
7-17-2020
Abstract
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.
Identifier
85070887521 (Scopus)
Publication Title
Current Issues in Tourism
External Full Text Location
https://doi.org/10.1080/13683500.2019.1653832
ISSN
13683500
First Page
1705
Last Page
1710
Issue
14
Volume
23
Grant
TYETP201558
Fund Ref
Northwest University
Recommended Citation
Chen, Xiliang; Li, Gang; Yang, Lan; Nie, Qifan; Ye, Xinyue; Liang, Yanjun; and Xu, Tingting, "Profiling unmanned aerial vehicle photography tourists" (2020). Faculty Publications. 5150.
https://digitalcommons.njit.edu/fac_pubs/5150
