Journal cover Journal topic
Proceedings of the ICA
Journal topic
Volume 2
Proc. Int. Cartogr. Assoc., 2, 62, 2019
https://doi.org/10.5194/ica-proc-2-62-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Proc. Int. Cartogr. Assoc., 2, 62, 2019
https://doi.org/10.5194/ica-proc-2-62-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

  10 Jul 2019

10 Jul 2019

Analysis of Tourists’ Image of Seoul with Geotagged Photos using Convolutional Neural Networks

Dongeun Kim, Youngok Kang, Yearim Park, Nayeon Kim, Juyoon Lee, and Nahye Cho Dongeun Kim et al.
  • Ewha Womans University, South Korea

Keywords: Seoul Tour, Image of Seoul, Social Network Service, Flickr, Geotagged photos, Convolutional Neural Network

Abstract. In this study we aim to analyze the urban image of Seoul that tourists feel through the photos uploaded on Flickr, which is one of Social Network Service (SNS) platforms that people can share Geo-tagged photos. We first categorize the photos uploaded on the site by tourists and then performed the image mining by utilizing Convolutional Neural Network (CNN), which is one of the artificial neural networks with deep learning capability. In this study we are able to find out that tourists are interested in old palaces, historical monuments, stores, food, etc. in which are considered to be the signatured sightseeing elements in Seoul. Those key elements are differentiated from the major sightseeing attractions within Seoul. The purpose of this study is two folds: First, we analyze the image of Seoul by applying the technology of image mining with the photos uploaded on Flickr by tourists. Second, we draw some significant sightseeing factors by region of attraction where tourists prefer to visit within Seoul.

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