@inproceedings{alexa-etal-2018-dabblers,
    title = "The Dabblers at {S}em{E}val-2018 Task 2: Multilingual Emoji Prediction",
    author = "Alexa, Larisa  and
      Lorenț, Alina  and
      G{\^i}fu, Daniela  and
      Trandab{\u{a}}ț, Diana",
    editor = "Apidianaki, Marianna  and
      Mohammad, Saif M.  and
      May, Jonathan  and
      Shutova, Ekaterina  and
      Bethard, Steven  and
      Carpuat, Marine",
    booktitle = "Proceedings of the 12th International Workshop on Semantic Evaluation",
    month = jun,
    year = "2018",
    address = "New Orleans, Louisiana",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/fix-sig-urls/S18-1062/",
    doi = "10.18653/v1/S18-1062",
    pages = "405--409",
    abstract = "The ``Multilingual Emoji Prediction'' task focuses on the ability of predicting the correspondent emoji for a certain tweet. In this paper, we investigate the relation between words and emojis. In order to do that, we used supervised machine learning (Naive Bayes) and deep learning (Recursive Neural Network)."
}