@InProceedings{anderson:2019:S19-2,
  author    = {Anderson, Jacob},
  title     = {Sentim at SemEval-2019 Task 3: Convolutional Neural Networks For Sentiment in Conversations},
  booktitle = {Proceedings of the 13th International Workshop on Semantic Evaluation},
  month     = {June},
  year      = {2019},
  address   = {Minneapolis, Minnesota, USA},
  publisher = {Association for Computational Linguistics},
  pages     = {302--306},
  abstract  = {In this work convolutional neural networks were used in order to determine the sentiment in a conversational setting. This paper's contributions include a method for handling any sized input and a method for breaking down the conversation into separate parts for easier processing. Finally, clustering was shown to improve results and that such a model for handling sentiment in conversations is both fast and accurate.},
  url       = {http://www.aclweb.org/anthology/S19-2052}
}