Mining Economic Sentiment using Argumentation Structures

Alexander Hogenboom, Frederik Hogenboom, Uzay Kaymak, Paul Wouters, Franciska M.G. de Jong

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    15 Citations (Scopus)
    11 Downloads (Pure)


    The recent turmoil in the financial markets has demonstrated the growing need for automated information monitoring tools that can help to identify the issues and patterns that matter and that can track and predict emerging events in business and economic processes. One of the techniques that can address this need is sentiment mining. Existing approaches enable the analysis of a large number of text documents, mainly based on their statistical properties and possibly combined with numeric data. Most approaches are limited to simple word counts and largely ignore semantic and structural aspects of content. Yet, argumentation plays an important role in expressing and promoting an opinion. Therefore, we propose a framework that allows the incorporation of information on argumentation structure in the models for economic sentiment discovery in text.
    Original languageUndefined
    Title of host publicationWorkshop on Web Information Systems Modeling, WISM 2010
    Place of PublicationLondon
    Number of pages10
    ISBN (Print)978-3-642-16384-5
    Publication statusPublished - 2010
    EventWorkshop on Web Information Systems Modeling, WISM 2010: Workshop on Web Information Systems Modeling, WISM 2010 - Vancouver, Canada, London
    Duration: 1 Nov 20104 Nov 2010

    Publication series

    NameLecture Notes in Computer Science
    PublisherSpringer Verlag


    WorkshopWorkshop on Web Information Systems Modeling, WISM 2010
    OtherNovember 1-4, 2010


    • METIS-271111
    • EWI-18725
    • IR-74397

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