@InProceedings{fernandez-EtAl:2017:RANLP,
  author    = {Fern\'{a}ndez, Javi  and  Llopis, Fernando  and  Guti\'{e}rrez, Yoan  and  Mart\'{i}nez-Barco, Patricio  and  D\'{i}ez, \'{A}lvaro},
  title     = {Opinion Mining in Social Networks versus Electoral Polls},
  booktitle = {Proceedings of the International Conference Recent Advances in Natural Language Processing, RANLP 2017},
  month     = {September},
  year      = {2017},
  address   = {Varna, Bulgaria},
  publisher = {INCOMA Ltd.},
  pages     = {231--237},
  abstract  = {The recent failures of traditional poll models, like the predictions in United
	Kingdom with the Brexit, or in United States presidential elections with the
	victory of Donald Trump, have been noteworthy. With the decline of traditional
	poll models and the growth of the social networks, automatic tools are gaining
	popularity to make predictions in this context. In this paper we present our
	approximation and compare it with a real case: the 2017 French presidential
	election.},
  url       = {https://doi.org/10.26615/978-954-452-049-6_032}
}