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

Egor Lakomkin, Chandrakant Bothe, Stefan Wermter. GradAscent at EmoInt-2017: Character and Word Level Recurrent Neural Network Models for Tweet Emotion Intensity Detection. In Alexandra Balahur, Saif M. Mohammad, Erik Van der Goot, editors, Proceedings of the 8th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, WASSA@EMNLP 2017, Copenhagen, Denmark, September 8, 2017. pages 169-174, Association for Computational Linguistics, 2017. [doi]

@inproceedings{LakomkinBW17,
  title = {GradAscent at EmoInt-2017: Character and Word Level Recurrent Neural Network Models for Tweet Emotion Intensity Detection},
  author = {Egor Lakomkin and Chandrakant Bothe and Stefan Wermter},
  year = {2017},
  url = {http://aclanthology.info/papers/W17-5222/w17-5222},
  researchr = {https://researchr.org/publication/LakomkinBW17},
  cites = {0},
  citedby = {0},
  pages = {169-174},
  booktitle = {Proceedings of the 8th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, WASSA@EMNLP 2017, Copenhagen, Denmark, September 8, 2017},
  editor = {Alexandra Balahur and Saif M. Mohammad and Erik Van der Goot},
  publisher = {Association for Computational Linguistics},
  isbn = {978-1-945626-95-1},
}