Since the method seems promising I decided to share it so that other people might get some use out of it (or suggest improvements). Parts of the image that were not text would then be whitespace, illustration or marginalia. (One way to do this in Mathematica is to use the ImageCooccurence function). As I was trying to figure out the details, however, I realized that a much simpler approach might work.
My first thought was that I might be able to identify text based on its horizontal and vertical correlation. As an initial project, I decided to see if I could find a way to automatically extract images from the collection. Although I haven’t had much time yet to work with the sources, one of the things that I am interested in is using techniques from image processing and computer vision to supplement text mining. Adam suggested that we might do something with a collection of about 25,000 E-books. In September, Tim Hitchcock and I had a chance to meet with Adam Farquhar at the British Library to talk about potential collaborative research projects.
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Sites that can be used with no prior programming experience: Here are some links for Spring 2019 talks on computational history that I gave at the Fields Institute and MIT. John North’s incredibly detailed analysis of Hans Holbein’s painting The Ambassadors appears in The Ambassadors’ Secret: Holbein and the World of the Renaissance (New ed, London: Phoenix, 2004). The still undeciphered Voynich manuscript is in the Beinicke Rare Book and Manuscript Library at Yale University. The example of finding Paul Revere from metadata comes from a clever and accessible blog post by sociologist Kieran Healy. The map of 19th century shipping comes from the work of digital historian Ben Schmidt on the US Maury collection of the government’s database of ship’s paths. The example of all of the things that one can infer about a society from a single coin was adapted from Louis Gottschalk, Understanding History: A Primer of Historical Method (New York: Alfred A. The Lee Harvey Oswald example is discussed in this news article. His new text Photo Forensics(Cambridge, MA: MIT Press, 2016) is a wonderful resource. The photo of the man in the pit of water comes from this New York Times article. Hany Farid has made a career of developing sophisticated techniques for authenticating digital images. The two examples of Pence’s ‘historic journey’ on Twitter come from an article by Nicole Dahmen. The Bellingcat website has links to many resources, including daily quizzes.
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Sebeok, eds., The Sign of the Three: Dupin, Holmes, Peirce (Bloomington: Indiana University Press, 1988).ĭetermining when and where a picture was taken is one kind of verification task. Kreiser, Jr., eds., The Detective as Historian: History and Art in Historical Crime Fiction (Madison: University of Wisconsin, 2000). Peirce’s three kinds of inference (and their connection to detective literature) are the subject of Umberto Eco & Thomas A.
A more recent collection flips the premise, looking at what we can learn about the past by reading historical crime fiction: Ray B. Winks also authored a book on the relations between the intelligence community and the university, Cloak and Gown: Scholars and the Secret War, 1939-1961 (2nd ed, New Haven: Yale University Press, 1996). The Historian as Detective: Essays on Evidence (New York: Harper & Row, 1969). One book that many of us have on our shelves is Robin W. By far my favorite exploration of historical detection is the essay “Clues” by Carlo Ginzburg, which appears in his collection Clues, Myths and the Historical Method (Baltimore: Johns Hopkins University Press, 1989). The conceit of historians as detectives is very common in the field. Here are some references and links for seminars that I conducted for my department’s “High School History Day” in November 2019.
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