Behavior Analysis of Photo-Taking Tourists at Attraction-level Using Deep Learning and Latent Dirichlet Allocation in Conjunction with Kernel Density Estimation

M Iqbal, L Renjie, J Xu - IEEE Access, 2024 - ieeexplore.ieee.org
User-generated content (UGC) on social media platforms plays a significant role in
conveying individual sentiments that are effective in predicting image sentiments by …

Research on the perception of the terrain image of the tourism destination based on multimodal user-generated content data

T Hu, J Geng - PeerJ Computer Science, 2024 - peerj.com
Destination image is a powerful means by which destinations compete in the tourism
industry, and the accurate identification of a destination image better serves destination …

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

K Zhang, J Zhang, X Shang, J Yang… - Current Issues in Tourism, 2023 - Taylor & Francis
Travelling is an activity for relaxation and self-recovery. A picture showing a place with
positive emotion, eg amusement or contentment, holds higher power than one with negative …

How are tourists different?-Reading geo-tagged photos through a deep learning model

K Zhang, D Chen, C Li - Journal of Quality Assurance in Hospitality …, 2020 - Taylor & Francis
With the popularity of social media, it is possible to use UGC (user-generated content) for
tourist behavior study. However, current UGC-based tourism research is still text-centric; the …

Automatic classification of photos by tourist attractions using deep learning model and image feature vector clustering

J Kim, Y Kang - ISPRS International Journal of Geo-Information, 2022 - mdpi.com
With the rise of social media platforms, tourists tend to share their experiences in the form of
texts, photos, and videos on social media. These user-generated contents (UGC) play an …

Exploring destination image of dark tourism via analyzing user generated photos: A deep learning approach

L Qian, J Guo, H Qiu, C Zheng, L Ren - Tourism Management Perspectives, 2023 - Elsevier
Tourism destination image (TDI) in the dark tourism context is considered to be a complex
and controversial, yet rarely studied issue in the literature. This study selected three types of …

Quantifying differences between UGC and DMO's image content on Instagram using deep learning

Á Díaz-Pacheco, R Guerrero-Rodríguez… - … Technology & Tourism, 2024 - Springer
In the tourism industry, the implementation of effective strategies to promote destinations is
considered of utmost importance. Taking advantage of social media, Destination …

Discovering the tourists' behaviors and perceptions in a tourism destination by analyzing photos' visual content with a computer deep learning model: The case of …

K Zhang, Y Chen, C Li - Tourism Management, 2019 - Elsevier
Visual content analysis of tourist photos is an effective way to excavate tourist behavior and
explore tourists' cognition in the tourism destination. With the development of computer deep …

Analyzing Tourists' Perceptions of Tourism Destinations using YouTube Comments

K Thilakarathne, B Kumara… - … Conference on Data …, 2021 - ieeexplore.ieee.org
Tourism is an activity for individuals traveling and staying for recreation or other purposes
outside the home. It is one of the world's fastest-growing industries. In our everyday …

Reconsidering tourism destination images by exploring similarities between travelogue texts and photographs

X Zhang, X Lu, X Zhou, C Shen - ISPRS International Journal of Geo …, 2022 - mdpi.com
With the rise of user-generated content (UGC) and deep learning technology, more and
more researchers construct and measure the tourism destination image (TDI) through online …