GradAscent at EmoInt-2017: Character- and Word-Level Recurrent Neural Network Models for Tweet Emotion Intensity Detection

Proceedings of the 8th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis at EMNLP-2017, pages 169--174, doi:10.18653/v1/W17-5222 - Sep 2017. Open Access
Associated documents : http://dx.doi.org/10.18653/v1/W17-5222

 

@InProceedings\{LBW17,
  author       = "Lakomkin, Egor and Bothe, Chandrakant and Wermter, Stefan",
  title        = "GradAscent at EmoInt-2017: Character- and Word-Level Recurrent Neural Network Models for Tweet Emotion Intensity Detection",
  booktitle    = "Proceedings of the 8th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis at EMNLP-2017",
  pages        = "169--174",
  month        = "Sep",
  year         = "2017",
  publisher    = "ACL",
  address      = "Copenhagen, Denmark",
  note         = "http://www.aclweb.org/anthology/W17-5222",
  doi          = "10.18653/v1/W17-5222",
  url          = "https://www2.informatik.uni-hamburg.de/wtm/publications/2017/LBW17/"
}

» Egor Lakomkin
» Chandrakant Bothe
» Stefan Wermter