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.
Scholars like Jockers and Moretti hope, through use of their distant-reading methodologies, to puzzle out how elements such as style and theme evolved over time. Since the available 19th Century corpus is far from complete — as what survives from that era hardly represents all that was written — "I come to the best conclusions that I can derive given the material that I have," says Jockers.
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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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