Fiction Science
In his new book, Macroanalysis, scholar Matthew Jockers applies big data principles to large groups of novels in an attempt to unlock the mysteries of literature.
We know that the era of "big data" has already fomented great change in book publishing. But it's also making waves in book scholarship. Academics are exploring new and fascinating ways of analyzing literature not as specific works but as corpora: huge bodies of works spanning decades and even centuries.
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Brian G. Howard
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%0D%0A%20%20In%20his%20new%20book,<%2Fspan>%20Macroanalysis%3A%20Digital%20Methods%20%26%20Literary%20History<%2Fspan>%20(University%20of%20Illinois%20Press),%20Matthew%20L.%20Jockers,%20a%20University%20of%20Nebraska-Lincoln%20Assistant%20Professor%20of%20English,%20takes%20readers%20into%20what%20he%20modestly%20calls%20"this%20thing%20I'm%20doing."%20"To%20call%20it%20a%20field%20is%20perhaps%20premature,"%20he%20says.<%2Fspan>%0D%0A%0D%0A%0D%0Ahttps%3A%2F%2Fwww.bookbusinessmag.com%2Farticle%2Fmatthew-jockers-macroanalysis%2F" target="_blank" class="email" data-post-id="1187" type="icon_link"> Email Email
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