@inproceedings{rashkin-etal-2017-multilingual,
    title = "Multilingual Connotation Frames: A Case Study on Social Media for Targeted Sentiment Analysis and Forecast",
    author = "Rashkin, Hannah  and
      Bell, Eric  and
      Choi, Yejin  and
      Volkova, Svitlana",
    editor = "Barzilay, Regina  and
      Kan, Min-Yen",
    booktitle = "Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)",
    month = jul,
    year = "2017",
    address = "Vancouver, Canada",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/fix-sig-urls/P17-2073/",
    doi = "10.18653/v1/P17-2073",
    pages = "459--464",
    abstract = "People around the globe respond to major real world events through social media. To study targeted public sentiments across many languages and geographic locations, we introduce multilingual connotation frames: an extension from English connotation frames of Rashkin et al. (2016) with 10 additional European languages, focusing on the implied sentiments among event participants engaged in a frame. As a case study, we present large scale analysis on targeted public sentiments toward salient events and entities using 1.2 million multilingual connotation frames extracted from Twitter."
}