@InProceedings{wu-EtAl:2017:WASSA2017,
  author    = {Wu, Jiaqi  and  Walker, Marilyn  and  Anand, Pranav  and  Whittaker, Steve},
  title     = {Linguistic Reflexes of Well-Being and Happiness in Echo},
  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     = {81--91},
  abstract  = {Different theories posit different sources for feelings of well-being and
	happiness.  Appraisal theory grounds our emotional responses in our goals and
	desires and their fulfillment, or lack of fulfillment. Self-Determination
	theory posits that the basis for well-being rests on our assessments of our
	competence, autonomy and social connection. And surveys that measure happiness
	empirically note that people require their basic needs to be met for food and
	shelter, but beyond that tend to be happiest when socializing, eating or having
	sex. We analyze a corpus of private micro-blogs from a well-being application
	called Echo, where users label each written post about daily events with a
	happiness score between 1 and 9.  Our goal is to ground the linguistic
	descriptions of events that users experience in theories of well-being and
	happiness, and then examine the extent to which different theoretical accounts
	can explain the variance in the happiness scores.  We show that recurrent event
	types, such as obligation and
	incompetence, which affect people's feelings of well-being are not captured in
	current lexical or semantic resources.},
  url       = {http://www.aclweb.org/anthology/W17-5211}
}