@InProceedings{dovdon-saias:2017:SemEval,
  author    = {Dovdon, Enkhzol  and  Saias, Jos\'{e}},
  title     = {ej-sa-2017 at SemEval-2017 Task 4: Experiments for Target oriented Sentiment Analysis in Twitter},
  booktitle = {Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017)},
  month     = {August},
  year      = {2017},
  address   = {Vancouver, Canada},
  publisher = {Association for Computational Linguistics},
  pages     = {644--647},
  abstract  = {This paper describes the system we have used for participating in Subtasks A
	(Message Polarity Classification) and B (Topic-Based Message Polarity
	Classification according to a two-point scale) of SemEval-2017 Task 4 Sentiment
	Analysis in Twitter. We used several features with a sentiment lexicon and NLP
	techniques, Maximum Entropy as a classifier for our system.},
  url       = {http://www.aclweb.org/anthology/S17-2106}
}