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SUMMARY:Newspaper Navigator: Reimagining Digitized Newspapers with Machine Learning
DESCRIPTION:The 16-million digitized\, historic newspaper pages within Chronicling America\, a joint initiative by the Library of Congress and the NEH\, represent an incredibly rich resource for a wide range of users. Historians\, journalists\, genealogists\, students\, and members of the American public explore the collection regularly via keyword search. But how do we navigate the abundant visual content? Newspaper Navigator is a project in collaboration with Library of Congress Labs\, the National Digital Newspaper Program\, and Professor Daniel Weld\, at the University of Washington. \nIn this talk\, Ben Lee shares this progress with Newspaper Navigator\, including running the visual content recognition pipeline at scale. He will also discuss how this project\, including the resulting datasets and search interface\, can contribute to both computer science research and research within digital humanities. \nRead more about the Newspaper Navigator project. \nThis event is part of the 2019-20 Collections as Data Discussion Series. \nTo register for this event\, visit the event listing on the PUL website.
URL:https://humanities.princeton.edu/event/newspaper-navigator-reimagining-digitized-newspapers-with-machine-learning/
LOCATION:via Zoom
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