Describing Locations Using Tags and Images: Explorative Pattern Mining in Social Media

Abstract

Abstract. This paper presents an approach for explorative pattern mining in social media for describing image media based on tagging information and collaborative geo-reference annotations. We utilize pattern mining techniques for obtaining sets of tags that are specific for the specified point, landmark, or region of interest. Next, we show how these candidate patterns can be presented and visualized for interactive exploration using a combination of general pattern mining visualizations and views specialized on geo-referenced tagging data. We present a case study using publicly available data from the Flickr photo sharing platform.

Phorec: Context-Aware Photography Support System Based on Social Data Analysis

“…Reference [2] introduces several approaches, for example, spatial and spatio-temporal clusters, text analysis from title and tags, and content-based analysis, to analyze events and places from geotagged photo collections. Reference [3] describes location, interests and representative keyword of photo from tags and geoinformation of photo. From the availability of Exif metadata, Ref.…”