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        Emotional Imprints of War

        A Computer-Assisted Analysis of Emotions in Dutch Parliamentary Debates, 1945-1989

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        Author(s)
        van Lange, Milan
        Language
        English
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        Abstract
        Historical research can be enhanced by methods and resources from various disciplines, ranging from psychology to computer linguistics. With a creative and innovative perspective on »things we think we know«, Milan van Lange presents a computer-assisted historical investigation into the role of emotions in dealing with consequences of World War II in the Netherlands. By »emotion mining« digitised sources, van Lange shows where emotions were present and how they were expressed and discussed in the political engagement with people who experienced long-term effects of the war, such as former collaborators and war criminals, the resistance, and war victims.
        URI
        https://library.oapen.org/handle/20.500.12657/62488
        Keywords
        Digital History; World War II; History of Emotions; Text Mining; Parliamentary Debates; Contemporary History; Memory Culture; Politics; Language; Digital Humanities; History of the 20th Century; Bielefeld University Press
        DOI
        10.14361/9783839464854
        ISBN
        9783839464854, 9783839464854, 9783837664850
        Publisher
        Bielefeld University Press
        Publisher website
        https://www.bielefeld-university-press.org/
        Publication date and place
        Bielefeld, 2023
        Imprint
        Bielefeld University Press
        Series
        Digital Humanities Research, 6
        Classification
        Research methods: general
        Social and cultural history
        History and Archaeology
        20th century, c 1900 to c 1999
        Pages
        330
        Rights
        https://creativecommons.org/licenses/by/4.0/
        • Imported or submitted locally

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        License

        • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

        Credits

        • logo EU
        • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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