@inproceedings{gonzalez-etal-2017-elirf,
    title = "{EL}i{RF}-{UPV} at {S}em{E}val-2017 Task 4: Sentiment Analysis using Deep Learning",
    author = "Gonz{\'a}lez, Jos{\'e}-{\'A}ngel  and
      Pla, Ferran  and
      Hurtado, Llu{\'i}s-F.",
    editor = "Bethard, Steven  and
      Carpuat, Marine  and
      Apidianaki, Marianna  and
      Mohammad, Saif M.  and
      Cer, Daniel  and
      Jurgens, David",
    booktitle = "Proceedings of the 11th International Workshop on Semantic Evaluation ({S}em{E}val-2017)",
    month = aug,
    year = "2017",
    address = "Vancouver, Canada",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/jlcl-multiple-ingestion/S17-2121/",
    doi = "10.18653/v1/S17-2121",
    pages = "723--727",
    abstract = "This paper describes the participation of ELiRF-UPV team at task 4 of SemEval2017. Our approach is based on the use of convolutional and recurrent neural networks and the combination of general and specific word embeddings with polarity lexicons. We participated in all of the proposed subtasks both for English and Arabic languages using the same system with small variations."
}