@inproceedings{buscaldi-priego-2017-lipn,
    title = "{LIPN}-{UAM} at {E}mo{I}nt-2017:Combination of Lexicon-based features and Sentence-level Vector Representations for Emotion Intensity Determination",
    author = "Buscaldi, Davide  and
      Priego, Belem",
    editor = "Balahur, Alexandra  and
      Mohammad, Saif M.  and
      van der Goot, Erik",
    booktitle = "Proceedings of the 8th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis",
    month = sep,
    year = "2017",
    address = "Copenhagen, Denmark",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/Ingest-2025-COMPUTEL/W17-5236/",
    doi = "10.18653/v1/W17-5236",
    pages = "255--258",
    abstract = "This paper presents the combined LIPN-UAM participation in the WASSA 2017 Shared Task on Emotion Intensity. In particular, the paper provides some highlights on the Tweetaneuse system that was presented to the shared task. We combined lexicon-based features with sentence-level vector representations to implement a random forest regressor."
}