@inproceedings{cercel-etal-2017-oiqa,
    title = "o{IQ}a: An Opinion Influence Oriented Question Answering Framework with Applications to Marketing Domain",
    author = "Cercel, Dumitru-Clementin  and
      Onose, Cristian  and
      Trausan-Matu, Stefan  and
      Pop, Florin",
    editor = "Makary, Mireille  and
      Oakes, Michael",
    booktitle = "Proceedings of the 1st Workshop on Natural Language Processing and Information Retrieval associated with {RANLP} 2017",
    month = sep,
    year = "2017",
    address = "Varna, Bulgaria",
    publisher = "INCOMA Inc.",
    url = "https://doi.org/10.26615/978-954-452-038-0_002",
    doi = "10.26615/978-954-452-038-0_002",
    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.",
}