@InProceedings{wang-EtAl:2017:I17-33,
  author    = {Wang, Bo  and  Liakata, Maria  and  Tsakalidis, Adam  and  Georgakopoulos Kolaitis, Spiros  and  Papadopoulos, Symeon  and  Apostolidis, Lazaros  and  Zubiaga, Arkaitz  and  Procter, Rob  and  Kompatsiaris, Yiannis},
  title     = {TOTEMSS: Topic-based, Temporal Sentiment Summarisation for Twitter},
  booktitle = {Proceedings of the IJCNLP 2017, System Demonstrations},
  month     = {November},
  year      = {2017},
  address   = {Tapei, Taiwan},
  publisher = {Association for Computational Linguistics},
  pages     = {21--24},
  abstract  = {We present a system for time sensitive, topic based summarisation of the
	sentiment around target entities and topics in collections of tweets. We
	describe the main elements of the system and illustrate its functionality with
	two examples of sentiment analysis of topics related to the 2017 UK general
	election.},
  url       = {http://www.aclweb.org/anthology/I17-3006}
}