@InProceedings{buscaldi-priego:2017:WASSA2017,
  author    = {Buscaldi, Davide  and  Priego, Belem},
  title     = {LIPN-UAM at EmoInt-2017:Combination of Lexicon-based features and Sentence-level Vector Representations for Emotion Intensity Determination},
  booktitle = {Proceedings of the 8th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis},
  month     = {September},
  year      = {2017},
  address   = {Copenhagen, Denmark},
  publisher = {Association for Computational Linguistics},
  pages     = {255--258},
  abstract  = {This paper presents the combined LIPN-UAM participation in the WASSA 2017
	Shared Task on Emotion Intensity. In particular, the paper provides some
	highlights on the Tweetaneuse system that was presented to the shared task. We
	combined lexicon-based features with sentence-level vector representations to
	implement a random forest regressor.},
  url       = {http://www.aclweb.org/anthology/W17-5236}
}