Arts audience segmentation: data, profiles, segments and biographies

Audience Segmentation in Social Media

Understanding the social media audience is becoming increasingly important for social media analysis. This paper presents an approach that detects various audience attributes, including author location, demographics, behavior and interests. It works both for a variety of social media sources and for multiple languages. The approach has been implemented within IBM Watson Analytics for Social Med...

Data Science in Service of Performing Arts: Applying Machine Learning to Predicting Audience Preferences

Performing arts organizations aim to enrich their communities through the arts. To do this, they strive to match their performance offerings to the taste of those communities. Success relies on understanding audience preference and predicting their behavior. Similar to most e-commerce or digital entertainment firms, arts presenters need to recommend the right performance to the right customer a...

Biographies

Dr. Eric M. Meslin is Director of the Indiana University Center for Bioethics, Professor of Medicine, and of Medical and Molecular Genetics in the Indiana University School of Medicine, and Professor of Philosophy in the School of Liberal Arts. He is also Assistant Dean for Bioethics at the Indiana University School of Medicine. Dr. Meslin received his B.A. in Philosophy from York University (T...

Foreground Segmentation via Segments Tracking

In this paper we propose a video segmentation algorithm that in the final delineation of the object employs the graph-cut. A partitioning of the image based on pairwise region comparison is done at the beginning of each frame. A set of keypoints is tracked over time via optical flow to extract regions, which are likely to be parts of the object of interest. The tracked keypoints contribute towa...

Biographies