@InProceedings{rashkin-EtAl:2017:Short,
  author    = {Rashkin, Hannah  and  Bell, Eric  and  Choi, Yejin  and  Volkova, Svitlana},
  title     = {Multilingual Connotation Frames: A Case Study on Social Media for Targeted Sentiment Analysis and Forecast},
  booktitle = {Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)},
  month     = {July},
  year      = {2017},
  address   = {Vancouver, Canada},
  publisher = {Association for Computational Linguistics},
  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.},
  url       = {http://aclweb.org/anthology/P17-2073}
}