@InProceedings{duppada-hiray:2017:WASSA2017,
  author    = {Duppada, Venkatesh  and  Hiray, Sushant},
  title     = {Seernet at EmoInt-2017: Tweet Emotion Intensity Estimator},
  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     = {205--211},
  abstract  = {The paper describes experiments on estimating emotion intensity in tweets
	using a generalized regressor system. The system combines various independent
	feature extractors, trains them on general regressors and finally combines
	the best performing models to create an ensemble. The pro- posed system stood
	3rd out of 22 systems in leaderboard of WASSA-2017 Shared Task on Emotion
	Intensity.},
  url       = {http://www.aclweb.org/anthology/W17-5228}
}