@inproceedings{jacques-etal-2018-clac,
    title = "{CL}a{C} @ {DEFT} 2018: Sentiment analysis of tweets on transport from {{\^I}}le-de-{F}rance",
    author = "Jacques, Simon  and
      Farahnak, Farhood  and
      Kosseim, Leila",
    editor = "S{\'e}billot, Pascale  and
      Claveau, Vincent",
    booktitle = "Actes de la Conf{\'e}rence TALN. Volume 2 - D{\'e}monstrations, articles des Rencontres Jeunes Chercheurs, ateliers DeFT",
    month = "5",
    year = "2018",
    address = "Rennes, France",
    publisher = "ATALA",
    url = "https://preview.aclanthology.org/fix-sig-urls/2018.jeptalnrecital-deft.3/",
    pages = "239--248",
    abstract = "CLaC @ DEFT 2018: Analysis of tweets on transport on the {\^I}le-de-France This paper describes the system deployed by the CLaC lab at Concordia University in Montreal for the DEFT 2018 shared task. The competition consisted in four different tasks; however, due to lack of time, we only participated in the first two. We participated with a system based on conventional supervised learning methods: a support vector machine classifier and an artificial neural network. For task 1, our best approach achieved an F-measure of 87.61{\%}; while at task 2, we achieve 51.03{\%}, situating our system below the average of the other participants."
}