@inproceedings{pawlicka-maule-johnson-2020-using,
    title = "Using Social Media For Bitcoin Day Trading Behavior Prediction",
    author = "Pawlicka Maule, Anna Paula  and
      Johnson, Kristen",
    editor = "Cunha, Rossana  and
      Shaikh, Samira  and
      Varis, Erika  and
      Georgi, Ryan  and
      Tsai, Alicia  and
      Anastasopoulos, Antonios  and
      Chandu, Khyathi Raghavi",
    booktitle = "Proceedings of the Fourth Widening Natural Language Processing Workshop",
    month = jul,
    year = "2020",
    address = "Seattle, USA",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/landing_page/2020.winlp-1.37/",
    doi = "10.18653/v1/2020.winlp-1.37",
    pages = "140--143",
    abstract = "This abstract presents preliminary work in the application of natural language processing techniques and social network modeling for the prediction of cryptocurrency trading and investment behavior. Specifically, we are building models to use language and social network behaviors to predict if the tweets of a 24-hour period can be used to buy or sell cryptocurrency to make a profit. In this paper we present our novel task and initial language modeling studies."
}