@InProceedings{nozza-EtAl:2017:EACLDemo,
  author    = {Nozza, Debora  and  Ristagno, Fausto  and  Palmonari, Matteo  and  Fersini, Elisabetta  and  Manchanda, Pikakshi  and  Messina, Enza},
  title     = {TWINE: A real-time system for TWeet analysis via INformation Extraction},
  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     = {25--28},
  abstract  = {In the recent years, the amount of user generated contents shared on the Web
	has significantly increased, especially in social media environment, e.g.
	Twitter, Facebook, Google+. This large quantity of data has generated the need
	of reactive and sophisticated systems for capturing and understanding the
	underlying information enclosed in them.  
	In this paper we present TWINE, a real-time system for the big data analysis
	and exploration of information extracted from Twitter streams. 
	The proposed system based on a Named Entity Recognition and Linking pipeline
	and a multi-dimensional spatial geo-localization is managed by a scalable and
	flexible architecture for an interactive visualization of micropost streams
	insights.
	The demo is available at http://twine-mind.cloudapp.net/streaming.},
  url       = {http://aclweb.org/anthology/E17-3007}
}