An Embedding Model for Estimating Legislative Preferences from the Frequency and Sentiment of Tweets

Gregory Spell, Brian Guay, Sunshine Hillygus, Lawrence Carin. An Embedding Model for Estimating Legislative Preferences from the Frequency and Sentiment of Tweets. In Bonnie Webber, Trevor Cohn, Yulan He, Yang Liu, editors, Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, EMNLP 2020, Online, November 16-20, 2020. pages 627-641, Association for Computational Linguistics, 2020. [doi]

@inproceedings{SpellGHC20,
  title = {An Embedding Model for Estimating Legislative Preferences from the Frequency and Sentiment of Tweets},
  author = {Gregory Spell and Brian Guay and Sunshine Hillygus and Lawrence Carin},
  year = {2020},
  url = {https://www.aclweb.org/anthology/2020.emnlp-main.46/},
  researchr = {https://researchr.org/publication/SpellGHC20},
  cites = {0},
  citedby = {0},
  pages = {627-641},
  booktitle = {Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, EMNLP 2020, Online, November 16-20, 2020},
  editor = {Bonnie Webber and Trevor Cohn and Yulan He and Yang Liu},
  publisher = {Association for Computational Linguistics},
  isbn = {978-1-952148-60-6},
}