@inproceedings{segura-bedmar-etal-2017-exploring,
    title = "Exploring Convolutional Neural Networks for Sentiment Analysis of {S}panish tweets",
    author = "Segura-Bedmar, Isabel  and
      Quir{\'o}s, Antonio  and
      Mart{\'i}nez, Paloma",
    editor = "Lapata, Mirella  and
      Blunsom, Phil  and
      Koller, Alexander",
    booktitle = "Proceedings of the 15th Conference of the {E}uropean Chapter of the Association for Computational Linguistics: Volume 1, Long Papers",
    month = apr,
    year = "2017",
    address = "Valencia, Spain",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/jlcl-multiple-ingestion/E17-1095/",
    pages = "1014--1022",
    abstract = "Spanish is the third-most used language on the internet, after English and Chinese, with a total of 7.7{\%} (more than 277 million of users) and a huge internet growth of more than 1,400{\%}. However, most work on sentiment analysis has been focused on English. This paper describes a deep learning system for Spanish sentiment analysis. To the best of our knowledge, this is the first work that explores the use of a convolutional neural network to polarity classification of Spanish tweets."
}