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    WWW'18 Open Challenge: Financial Opinion Mining and Question Answering


    Maia, Macedo and Handschuh, Siegfried and Freitas, Andre and Davis, Brian and McDermott, Ross and Zarrouk, Manel and Balahur, Alexandra (2018) WWW'18 Open Challenge: Financial Opinion Mining and Question Answering. In: WWW '18: Companion Proceedings of the The Web Conference 2018. International World Wide Web Conferences Steering Committee, pp. 1941-1942. ISBN 9781450356404

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    Abstract

    The growing maturity of Natural Language Processing (NLP) techniques and resources is dramatically changing the landscape of many application domains which are dependent on the analysis of unstructured data at scale. The finance domain, with its reliance on the interpretation of multiple unstructured and structured data sources and its demand for fast and comprehensive decision making is already emerging as a primary ground for the experimentation of NLP, Web Mining and Information Retrieval (IR) techniques for the automatic analysis of financial news and opinions online. This challenge focuses on advancing the state-of-the-art of aspect-based sentiment analysis and opinion-based Question Answering for the financial domain.

    Item Type: Book Section
    Keywords: Computing methodologies; Artificial intelligence; Natural language processing; Information systems; Information retrieval; Retrieval models and ranking; opinion mining; question answering; financial domain;
    Academic Unit: Faculty of Science and Engineering > Computer Science
    Item ID: 13403
    Identification Number: https://doi.org/10.1145/3184558.3192301
    Depositing User: Brian Davis
    Date Deposited: 06 Oct 2020 15:59
    Publisher: International World Wide Web Conferences Steering Committee
    Refereed: Yes
    URI:

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