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Spatial Footprints of Human Perceptual Experience in Geo-Social Media

1
Artificial Intelligence Research Center, National Institute of Advanced Industrial Science and Technology, Koto-ku, Tokyo 135-0064, Japan
2
Department of Electronics and Information Engineering, Korea Aerospace University, Goyang-si, Gyeonggi-do 10540, Korea
*
Author to whom correspondence should be addressed.
ISPRS Int. J. Geo-Inf. 2018, 7(2), 71; https://doi.org/10.3390/ijgi7020071
Received: 25 December 2017 / Revised: 15 February 2018 / Accepted: 17 February 2018 / Published: 23 February 2018
Analyses of social media have increased in importance for understanding human behaviors, interests, and opinions. Business intelligence based on social media can reduce the costs of managing customer trend complexities. This paper focuses on analyzing sensation information representing human perceptual experiences in social media through the five senses: sight, hearing, touch, smell, and taste. First a measurement is defined to estimate social sensation intensities, and subsequently sensation characteristics on geo-social media are identified using geo-spatial footprints. Finally, we evaluate the accuracy and F-measure of our approach by comparing with baselines. View Full-Text
Keywords: social sensory knowledge; sensation information; text mining; classification; geo-spatial analysis social sensory knowledge; sensation information; text mining; classification; geo-spatial analysis
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Lee, J.; Ogawa, H.; Kwon, Y.; Kim, K.-S. Spatial Footprints of Human Perceptual Experience in Geo-Social Media. ISPRS Int. J. Geo-Inf. 2018, 7, 71.

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