@InProceedings{tian-EtAl:2017:SocialNLP2017,
  author    = {Tian, Ye  and  Galery, Thiago  and  Dulcinati, Giulio  and  Molimpakis, Emilia  and  Sun, Chao},
  title     = {Facebook sentiment: Reactions and Emojis},
  booktitle = {Proceedings of the Fifth International Workshop on Natural Language Processing for Social Media},
  month     = {April},
  year      = {2017},
  address   = {Valencia, Spain},
  publisher = {Association for Computational Linguistics},
  pages     = {11--16},
  abstract  = {Emojis are used frequently in social media. A widely assumed view is that
	emojis express the emotional state of the user, which has led to research
	focusing on the expressiveness of emojis independent from the linguistic
	context. We argue that emojis and the linguistic texts can modify the meaning
	of each other. The overall communicated meaning is not a simple sum of the two
	channels. 
	In order to study the meaning interplay, we need data indicating the overall
	sentiment of the entire message as well as the sentiment of the emojis
	stand-alone. We propose that Facebook Reactions are a good data source for such
	a purpose. FB reactions (e.g. ``Love'' and ``Angry'') indicate the readers'
	overall sentiment, against which we can investigate the types of emojis used
	the comments under different reaction profiles. We present a data set of 21,000
	FB posts (57 million reactions and 8 million comments) from public media pages
	across four countries.},
  url       = {http://www.aclweb.org/anthology/W17-1102}
}