• Trading Consequences: A Case Study of Combining Text Mining and Visualization to Facilitate Document Exploration

    Author(s):
    Beatrice Alex, Jim Clifford (see profile) , Colin Coates, Uta Hinrichs, Ewan Klein, Aaron Quigley, Andrew Watson
    Date:
    2015
    Subject(s):
    Digital humanities, Information visualization, History
    Item Type:
    Article
    Tag(s):
    text mining, word clouds, commodities, Digital history, Data visualization
    Permanent URL:
    http://dx.doi.org/10.17613/q5xc-h076
    Abstract:
    Large-scale digitization efforts and the availability of computational methods, including text mining and information visualization, have enabled new approaches to historical research. However, we lack case studies of how these methods can be applied in practice and what their potential impact may be. Trading Consequences is an interdisciplinary research project between environmental historians, computational linguists, and visualization specialists. It combines text mining and information visualization alongside traditional research methods in environmental history to explore commodity trade in the 19th century from a global perspective. Along with a unique data corpus, this project developed three visual interfaces to enable the exploration and analysis of four historical document collections, consisting of approximately 200,000 documents and 11 million pages related to commodity trading. In this article, we discuss the potential and limitations of our approach based on feedback from historians we elicited over the course of this project. Informing the design of such tools in the larger context of digital humanities projects, our findings show that visualization-based interfaces are a valuable starting point to large-scale explorations in historical research. Besides providing multiple visual perspectives on the document collection to highlight general patterns, it is important to provide a context in which these patterns occur and offer analytical tools for more in-depth investigations.
    Metadata:
    xml
    Published as:
    Journal article     Show details
    Pub. DOI:
    https://doi.org/10.1093/llc/fqv046
    Publisher:
    Oxford University Press (OUP)
    Pub. Date:
    2015-10-13
    Journal:
    Digital Scholarship in the Humanities
    Volume:
    30
    Issue:
    suppl 1
    Page Range:
    i50 - i75
    ISSN:
    2055-7671,2055-768X
    Status:
    Published
    Last Updated:
    5 years ago
    License:
    All Rights Reserved
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