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Research Letters

Profiling unmanned aerial vehicle photography tourists

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Pages 1705-1710 | Received 31 Jan 2019, Accepted 05 Aug 2019, Published online: 13 Aug 2019
 

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.

Disclosure statement

No potential conflict of interest was reported by the authors.

Correction Statement

This article has been republished with minor changes. These changes do not impact the academic content of the article.

Additional information

Funding

This study was supported by grants from the Tourism Young Expert Training Plan of China [grant number TYETP201558], and the Tang Scholar Program of Northwest University [grant number 2016]; the Incubation Program of National Social Science Foundation of China at Northwest University [grant number 17XNFH096].

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