@InProceedings{yoon-lyu-kim:2017:SemEval,
  author    = {Yoon, Joosung  and  Lyu, Kigon  and  Kim, Hyeoncheol},
  title     = {Adullam at SemEval-2017 Task 4: Sentiment Analyzer Using Lexicon Integrated Convolutional Neural Networks with Attention},
  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     = {732--736},
  abstract  = {We propose a sentiment analyzer for the prediction of document-level sentiments
	of English micro-blog messages from Twitter. The proposed method is based on
	lexicon integrated convolutional neural networks with attention (LCA). Its
	performance was evaluated using the datasets provided by SemEval competition
	(Task 4). The proposed sentiment analyzer obtained an average F1 of 55.2%, an
	average recall of 58.9% and an accuracy of 61.4%.},
  url       = {http://www.aclweb.org/anthology/S17-2123}
}