@InProceedings{donato-paggio:2017:WASSA2017,
  author    = {Donato, Giulia  and  Paggio, Patrizia},
  title     = {Investigating Redundancy in Emoji Use: Study on a Twitter Based Corpus},
  booktitle = {Proceedings of the 8th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis},
  month     = {September},
  year      = {2017},
  address   = {Copenhagen, Denmark},
  publisher = {Association for Computational Linguistics},
  pages     = {118--126},
  abstract  = {In this paper we present an annotated corpus created with the aim of analyzing
	the
	informative behaviour of emoji -- an issue of importance for sentiment
	analysis and
	natural language processing. The corpus consists of 2475 tweets all containing
	at
	least one emoji, which has been annotated using one of the three possible
	classes: Redundant, Non Redundant, and Non Redundant + POS. We explain how the
	corpus
	was collected, describe the annotation procedure and the interface developed
	for the task. We provide an analysis of the corpus, considering also possible
	predictive features, discuss the problematic aspects of the annotation, and
	suggest future improvements.},
  url       = {http://www.aclweb.org/anthology/W17-5216}
}