@InProceedings{henrich-lang:2017:EACLDemo,
  author    = {Henrich, Verena  and  Lang, Alexander},
  title     = {Audience Segmentation in Social Media},
  booktitle = {Proceedings of the Software Demonstrations of the 15th Conference of the European Chapter of the Association for Computational Linguistics},
  month     = {April},
  year      = {2017},
  address   = {Valencia, Spain},
  publisher = {Association for Computational Linguistics},
  pages     = {53--56},
  abstract  = {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 Media and creates author profiles for more than 300 different analysis
	domains every day.},
  url       = {http://aclweb.org/anthology/E17-3014}
}