@InProceedings{morenoortiz:2017:WASSA2017,
  author    = {Moreno-Ortiz, Antonio},
  title     = {Tecnolengua Lingmotif at EmoInt-2017: A lexicon-based approach},
  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     = {225--232},
  abstract  = {In this paper we describe Tecnolengua Group's participation in the shared task
	on emotion intensity at WASSA 2017. We used the Lingmotif tool and a new,
	complementary tool, Lingmotif Learn, which we developed for this occasion. We
	based our intensity predictions for the four test datasets entirely on
	Lingmotif's TSS (text sentiment score) feature. We also developed mechanisms
	for dealing with the idiosyncrasies of Twitter text. Results were comparatively
	poor, but the experience meant a good opportunity for us to identify issues in
	our score calculation for short texts, a genre for which the Lingmotif tool was
	not originally designed.},
  url       = {http://www.aclweb.org/anthology/W17-5231}
}