@inproceedings{maehlum-etal-2019-annotating,
    title = "Annotating evaluative sentences for sentiment analysis: a dataset for {N}orwegian",
    author = "M{\ae}hlum, Petter  and
      Barnes, Jeremy  and
      {\O}vrelid, Lilja  and
      Velldal, Erik",
    editor = "Hartmann, Mareike  and
      Plank, Barbara",
    booktitle = "Proceedings of the 22nd Nordic Conference on Computational Linguistics",
    month = sep # "–" # oct,
    year = "2019",
    address = "Turku, Finland",
    publisher = {Link{\"o}ping University Electronic Press},
    url = "https://preview.aclanthology.org/iwcs-25-ingestion/W19-6113/",
    pages = "121--130",
    abstract = "This paper documents the creation of a large-scale dataset of evaluative sentences {--} i.e. both subjective and objective sentences that are found to be sentiment-bearing {--} based on mixed-domain professional reviews from various news-sources. We present both the annotation scheme and first results for classification experiments. The effort represents a step toward creating a Norwegian dataset for fine-grained sentiment analysis."
}