@InProceedings{mohanty-kannan-mamidi:2017:WASSA2017,
  author    = {Mohanty, Gaurav  and  Kannan, Abishek  and  Mamidi, Radhika},
  title     = {Building a SentiWordNet for Odia},
  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     = {143--148},
  abstract  = {As a discipline of Natural Language Processing, Sentiment Analysis is used to
	extract and analyze subjective information present in natural language data.
	The task of Sentiment Analysis has acquired wide commercial uses including
	social media monitoring tasks, survey responses, review systems, etc. Languages
	like English have several resources which aid in the task of Sentiment
	Analysis. SentiWordNet and Subjectivity WordList are examples of such tools and
	resources. With more data being available in native vernacular,
	language-specific SentiWordNet(s) have become essential. For resource poor
	languages, creating such SentiWordNet(s) is a difficult task to achieve. One
	solution is to use available resources in English and translate the final
	source lexicon to target lexicon via machine translation. Machine translation
	systems for the English-Odia language pair have not yet been developed. In this
	paper, we discuss a method to create a SentiWordNet for Odia, which is
	resource-poor, by only using resources which are currently available for Indian
	languages. The lexicon created, would serve as a tool for Sentiment Analysis
	related task specific to Odia data.},
  url       = {http://www.aclweb.org/anthology/W17-5219}
}