Linking UGP's affective and cognitive concepts together for tourism destination image development

被引：3

作者：

Zhang, Kun ^{[1
]}

Zhang, Jinyi ^{[1
]}

Shang, Xiao ^{[1
]}

Yang, Jufeng ^{[2
]}

Li, Chunlin ^{[1
]}

机构：

[1] Nankai Univ, Coll Tourism & Serv Management, Tianjin, Peoples R China

[2] Nankai Univ, Coll Comp Sci, Tianjin, Peoples R China

来源：

CURRENT ISSUES IN TOURISM | 2024年 / 27卷 / 23期

关键词：

destination image; tourists' photographs; big data; visual emotion recognition; deep convolutional neural networks; EMOTIONAL EXPERIENCES; SATISFACTION; PHOTOS; MODEL; RECOGNITION; PHOTOGRAPHS; INTENTION;

D O I：

10.1080/13683500.2023.2288161

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

Travelling is an activity for relaxation and self-recovery. A picture showing a place with positive emotion, e.g. amusement or contentment, holds higher power than one with negative emotion. In the era of social media, how people emotionally perceive the visual content of shared photographs was rarely interpreted. In this study, we innovatively applied two deep learning models in computer vision for the visual content and sentiment analysis of 39,117 tourists' photographs taken in Beijing. As a result, we discovered the specific correlation between the main publisher's cognitive concepts and the eight viewer affective concepts of tourists' photographs. Practically, we established an approach for DMOs to select a positive picture with fit content for a destination. Theoretically, this study extends the role of user-generated photographs for generating the destination image.

引用

页码：4242 / 4257

页数：16

共 64 条

[11] Affect theory and the attractivity of destinations [J].

d'Hauteserre, Anne-Marie .

ANNALS OF TOURISM RESEARCH, 2015, 55 :77-89

[12]

Decrop A., 2000, TOURISTSDECISION MAK

[13] Where did you take those photos? Tourists' preference clustering based on facial and background recognition [J].

Deng, Ning ;

Liu, Jiayi .

JOURNAL OF DESTINATION MARKETING & MANAGEMENT, 2021, 21

[14] Feeling a destination through the "right" photos: A machine learning model for DMOs' photo selection [J].

Deng, Ning ;

Li, Xiang .

TOURISM MANAGEMENT, 2018, 65 :267-278

[15] #ILoveLondon: An exploration of the declaration of love towards a destination on Instagram [J].

Filieri, Raffaele ;

Yen, Dorothy A. ;

Yu, Qionglei .

TOURISM MANAGEMENT, 2021, 85

[16] #Visitspain. Breaking down affective and cognitive attributes in the social media construction of the tourist destination image [J].

Garay, Lluis .

TOURISM MANAGEMENT PERSPECTIVES, 2019, 32

[17]

Gartner W. C., 1993, Journal of Travel & Tourism Marketing, V2, P191

[18] Tourism information and pleasure motivation [J].

Goossens, G .

ANNALS OF TOURISM RESEARCH, 2000, 27 (02) :301-321

[19]

Gunn C.A., 1972, Vacationscape: Designing tourist regions

[20] Deep Residual Learning for Image Recognition [J].

He, Kaiming ;

Zhang, Xiangyu ;

Ren, Shaoqing ;

Sun, Jian .

2016 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR), 2016, :770-778

← 1 2 3 4 5 6 7 →