@InProceedings{litvak-EtAl:2016:COLINGDEMO,
  author    = {Litvak, Marina  and  Vanetik, Natalia  and  Levi, Efi  and  Roistacher, Michael},
  title     = {What’s up on Twitter? Catch up with TWIST!},
  booktitle = {Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: System Demonstrations},
  month     = {December},
  year      = {2016},
  address   = {Osaka, Japan},
  publisher = {The COLING 2016 Organizing Committee},
  pages     = {213--217},
  abstract  = {Event detection and analysis with respect to public opinions and sentiments in
	social media is a broad and well-addressed research topic. However, the
	characteristics and sheer volume of noisy Twitter messages make this a
	difficult task. 
	This demonstration paper describes a TWItter event Summarizer and Trend
	detector (TWIST) system for event detection, visualization, textual
	description, and geo-sentiment analysis of real-life events reported in
	Twitter.},
  url       = {http://aclweb.org/anthology/C16-2045}
}