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    Advanced Large Scale Cross Domain Temporal Topic Modeling Algorithms to Infer the Influence of Recent Research on IPCC Assessment Reports

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    https://ebiquity.umbc.edu/paper/html/id/769/Advanced-Large-Scale-Cross-Domain-Temporal-Topic-Modeling-Algorithms-to-Infer-the-Influence-of-Recent-Research-on-IPCC-Assessment-Reports
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    http://hdl.handle.net/11603/11591
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    • UMBC Computer Science and Electrical Engineering Department
    • UMBC Faculty Collection
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    Author/Creator
    Sleeman, Jennifer
    Halem, Milton
    Finin, Tim
    Cane, Mark
    Date
    2016-12-12
    Type of Work
    1 page
    Collection
    Poster
    Rights
    This item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.
    Subjects
    Big Data
    Climate Change
    Text Analytics
    UMBC Ebiquity Research Group
    Abstract
    One way of understanding the evolution of science within a particular scientific discipline is by studying the temporal influences that research publications had on that discipline. We provide a methodology for conducting such an analysis by employing cross-domain topic modeling and local cluster mappings of those publications with the historical texts to understand exactly when and how they influenced the discipline. We apply our method to the Intergovernmental Panel on Climate Change (IPCC) Assessment Reports and the citations therein. The IPCC reports were compiled by thousands of Earth scientists and the assessments were issued approximately every five years over a 30 year span, and includes over 200,000 research papers cited by these scientists.


    Albin O. Kuhn Library & Gallery
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    www.umbc.edu/scholarworks

    Contact information:
    Email: scholarworks-group@umbc.edu
    Phone: 410-455-3544


    If you wish to submit a copyright complaint or withdrawal request, please email mdsoar-help@umd.edu.

     

     

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    Albin O. Kuhn Library & Gallery
    University of Maryland, Baltimore County
    1000 Hilltop Circle
    Baltimore, MD 21250
    www.umbc.edu/scholarworks

    Contact information:
    Email: scholarworks-group@umbc.edu
    Phone: 410-455-3544


    If you wish to submit a copyright complaint or withdrawal request, please email mdsoar-help@umd.edu.