@InProceedings{symeonidis-EtAl:2017:SemEval1,
  author    = {Symeonidis, Symeon  and  Effrosynidis, Dimitrios  and  Kordonis, John  and  Arampatzis, Avi},
  title     = {DUTH at SemEval-2017 Task 4: A Voting Classification Approach for Twitter Sentiment Analysis},
  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     = {704--708},
  abstract  = {This report describes our participation to SemEval-2017 Task 4: Sentiment
	Analysis in Twitter, specifically in subtasks A, B, and C. The approach for
	text sentiment classification is based on a Majority Vote scheme and combined
	supervised machine learning methods with classical linguistic resources,
	including bag-of-words and sentiment lexicon features.},
  url       = {http://www.aclweb.org/anthology/S17-2117}
}