@InProceedings{onyibe-habash:2017:SemEval,
  author    = {Onyibe, Chukwuyem  and  Habash, Nizar},
  title     = {OMAM at SemEval-2017 Task 4: English Sentiment Analysis with Conditional Random Fields},
  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     = {670--674},
  abstract  = {We describe a supervised system that uses optimized Condition Random Fields and
	lexical features to predict the sentiment of a tweet. The system was submitted
	to the English version of all subtasks in SemEval-2017 Task 4.},
  url       = {http://www.aclweb.org/anthology/S17-2111}
}