@InProceedings{simeonova:2017:RANLPStud,
  author    = {Simeonova, Lilia},
  title     = {Gradient Emotional Analysis},
  booktitle = {Proceedings of the Student Research Workshop Associated with RANLP 2017},
  month     = {September},
  year      = {2017},
  address   = {Varna},
  publisher = {INCOMA Ltd.},
  pages     = {41--45},
  abstract  = {Over the past few years a lot of research has been done on sentiment analysis,
	however, the emotional analysis, being so subjective, is not a well examined
	dis-cipline. The main focus of this proposal is to categorize a given sentence
	in two dimensions - sentiment and arousal. For this purpose two techniques will
	be com-bined -- Machine Learning approach and Lexicon-based approach. The
	first di-mension will give the sentiment value -- positive versus negative.
	This will be re-solved by using Na\"{i}ve Bayes Classifier. The second and more
	interesting dimen-sion will determine the level of arousal. This will be
	achieved by evaluation of given a phrase or sentence based on lexi-con with
	affective ratings for 14 thousand English words.},
  url       = {https://doi.org/10.26615/issn.1314-9156.2017_006}
}