Reference Hub1
Cognitive Visualization of Popular Regions Discovered From Geo-Tagged Social Media Data

Cognitive Visualization of Popular Regions Discovered From Geo-Tagged Social Media Data

Yunzhe Wang, George Baciu, Chenhui Li
Copyright: © 2018 |Volume: 12 |Issue: 1 |Pages: 15
ISSN: 1557-3958|EISSN: 1557-3966|EISBN13: 9781522543022|DOI: 10.4018/IJCINI.2018010102
Cite Article Cite Article

MLA

Wang, Yunzhe, et al. "Cognitive Visualization of Popular Regions Discovered From Geo-Tagged Social Media Data." IJCINI vol.12, no.1 2018: pp.14-28. http://doi.org/10.4018/IJCINI.2018010102

APA

Wang, Y., Baciu, G., & Li, C. (2018). Cognitive Visualization of Popular Regions Discovered From Geo-Tagged Social Media Data. International Journal of Cognitive Informatics and Natural Intelligence (IJCINI), 12(1), 14-28. http://doi.org/10.4018/IJCINI.2018010102

Chicago

Wang, Yunzhe, George Baciu, and Chenhui Li. "Cognitive Visualization of Popular Regions Discovered From Geo-Tagged Social Media Data," International Journal of Cognitive Informatics and Natural Intelligence (IJCINI) 12, no.1: 14-28. http://doi.org/10.4018/IJCINI.2018010102

Export Reference

Mendeley
Favorite Full-Issue Download

Abstract

This article focuses on the cognitive exploration of photo sharing data which contain information about the location where the photo was taken and potentially some description about the photo. Therefore, the features of photo-spots can be deduced. Spots with similar features constitute a region of cognitive interest. The objective is to identify these regions and allow users to explore into regions of interest by cognitive understanding of their features. The authors propose an approach that makes use of semantic analysis, data clustering, and cognitive visualization. In this article, the authors introduce the design of an interactive visualization interface which projects photo sharing data to cognitive social activity map components. The contributions are two-fold. First, the authors put forward a novel social-media data classification method. Second, the authors suggest a new method to explore social activity maps by discovering regions of cognitive interest. Experiments are performed on the Flickr dataset.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.