@InProceedings{cercel-EtAl:2017:NLPIR,
  author    = {Cercel, Dumitru-Clementin  and  Onose, Cristian  and  Trausan-Matu, Stefan  and  Pop, Florin},
  title     = {oIQa: An Opinion Influence Oriented Question Answering Framework with Applications to Marketing Domain},
  booktitle = {Proceedings of the 1st Workshop on Natural Language Processing and Information Retrieval associated with RANLP 2017},
  month     = {September},
  year      = {2017},
  address   = {Varna, Bulgaria},
  publisher = {INCOMA Inc.},
  pages     = {11--18},
  abstract  = {Understanding questions and answers in QA system is a major challenge in the
	domain of natural language processing. In this paper, we present a question
	answering system that influences the human opinions in a conversation. The
	opinion words are quantified by using a lexicon-based method. We apply Latent
	Semantic Analysis and the cosine similarity measure between candidate answers
	and each question to infer the answer of the chatbot.},
  url       = {https://doi.org/10.26615/978-954-452-038-0_002}
}