Profiling unmanned aerial vehicle photography tourists

Xiliang Chen; Gang Li; Lan Yang; Qifan Nie; Xinyue Ye; Yanjun Liang; Tingting Xu

doi:10.1080/13683500.2019.1653832

Profiling unmanned aerial vehicle photography tourists

Xiliang Chen, Gang Li, Lan Yang, Qifan Nie, Xinyue Ye, Yanjun Liang, Tingting Xu

Informatics

Research output: Contribution to journal › Letter › peer-review

20 Scopus citations

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.

Original language	English (US)
Pages (from-to)	1705-1710
Number of pages	6
Journal	Current Issues in Tourism
Volume	23
Issue number	14
DOIs	https://doi.org/10.1080/13683500.2019.1653832
State	Published - Jul 17 2020

All Science Journal Classification (ASJC) codes

Geography, Planning and Development
Tourism, Leisure and Hospitality Management

Keywords

UAV photography
profiling
spatial pattern
tourism photo
tourist behaviour

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10.1080/13683500.2019.1653832

Cite this

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title = "Profiling unmanned aerial vehicle photography tourists",

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{\textquoteright} opinions of photography are typically positive.",

keywords = "UAV photography, profiling, spatial pattern, tourism photo, tourist behaviour",

author = "Xiliang Chen and Gang Li and Lan Yang and Qifan Nie and Xinyue Ye and Yanjun Liang and Tingting Xu",

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TY - JOUR

T1 - Profiling unmanned aerial vehicle photography tourists

AU - Chen, Xiliang

AU - Li, Gang

AU - Yang, Lan

AU - Nie, Qifan

AU - Ye, Xinyue

AU - Liang, Yanjun

AU - Xu, Tingting

PY - 2020/7/17

Y1 - 2020/7/17

N2 - 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.

AB - 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.

KW - UAV photography

KW - profiling

KW - spatial pattern

KW - tourism photo

KW - tourist behaviour

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DO - 10.1080/13683500.2019.1653832

M3 - Letter

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SN - 1368-3500

VL - 23

SP - 1705

EP - 1710

JO - Current Issues in Tourism

JF - Current Issues in Tourism

IS - 14

ER -

Profiling unmanned aerial vehicle photography tourists

Abstract

All Science Journal Classification (ASJC) codes

Keywords

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