@InProceedings{byrkjeland-grvelldelichtenberg-gambck:2018:WASSA2018,
  author    = {Byrkjeland, Mats  and  Gørvell de Lichtenberg, Frederik  and  Gambäck, Björn},
  title     = {Ternary Twitter Sentiment Classification with Distant Supervision and Sentiment-Specific Word Embeddings},
  booktitle = {Proceedings of the 9th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis},
  month     = {October},
  year      = {2018},
  address   = {Brussels, Belgium},
  publisher = {Association for Computational Linguistics},
  pages     = {97--106},
  abstract  = {The paper proposes the Ternary Sentiment Embedding Model, a new model for creating sentiment embeddings based on the Hybrid Ranking Model of Tang et al. (2016), but trained on ternary-labeled data instead of binary-labeled, utilizing sentiment embeddings from datasets made with different distant supervision methods. },
  url       = {http://aclweb.org/anthology/W18-6215}
}