Event Description
Newspaper Navigator: Re-imagining Historic Newspapers with Machine Learning
Debjani Bhattacharyya welcomes you to Benjamin Lee's talk "Newspaper Navigator: Re-imagining Historic Newspapers with Machine Learning" as part of the HIST 296 Research Methods class in the Department of History, Drexel University.
Benjamin Lee, a second-year Ph.D. student in the Allen School's Artificial Intelligence group working with professor Daniel Weld, has been named a 2020 Innovator in Residence by the Library of Congress. Now in its second year, the Innovator in Residence program aims to enlist artists, researchers, journalists, and others in developing new and creative ways of using the library's digital collections. During his residency, Lee will apply deep learning to enable the automatic extraction and tagging of photographs and illustrations contained in the more than 15 million newspaper scans comprising the library's Chronicling America collection. He first developed an interest in digital humanities as an undergraduate at Harvard College. That led to a year-long fellowship at the United States Holocaust Memorial Museum, where he used machine learning to enable new ways for users and researchers to search the archives of the International Tracing Service.
During this talk, Lee will show how he applied deep learning to enable the automatic extraction and tagging of photographs and illustrations contained in the more than 15 million newspaper scans comprising the library's Chronicling America collection. His goal is to produce interactive visualizations, searchable by topic, that will make the content more accessible to users and support cultural heritage research. |
