@InProceedings{hercig-lenc:2017:RANLP,
  author    = {Hercig, Tom\'{a}\v{s}  and  Lenc, Ladislav},
  title     = {The Impact of Figurative Language on Sentiment Analysis},
  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     = {301--308},
  abstract  = {Figurative language such as irony, sarcasm, and metaphor is considered a
	significant challenge in sentiment analysis. These figurative devices can
	sculpt the affect of an utterance and test the limits of sentiment analysis of
	supposedly literal texts.  
	We explore the effect of figurative language on sentiment analysis. We
	incorporate the figurative language indicators into the sentiment analysis
	process and compare the results with and without the additional information
	about them. We evaluate on the SemEval-2015 Task 11 data and outperform the
	first team with our convolutional neural network model and additional training
	data in terms of mean squared error and we follow closely behind the first
	place in terms of cosine similarity.},
  url       = {https://doi.org/10.26615/978-954-452-049-6_041}
}