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Macroanalysis: Digital Methods and Literary History (Topics in the Digital Humanities)
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Review
"Jockers dares us to consider what the future can hold now that so much of the literary canon is accessible digitally."--Library Journal "An instructive introduction to the history of computing in the humanities and its increasingly sophisticated methodology."--Library Journal"Jockers puts data mining and word crunching to good use in analyzing textual components across large textual databases. . . . A fascinating blend of statistics and sociolinguistic analysis. Recommended."--Choice "A truly significant exploration of the intersection of literary studies and computer-assisted text analysis. Through a series of perspectives and methodologies, Macroanalysis convincingly demonstrates the power and potential of literary text analysis."--Stéfan Sinclair, coauthor of Visual Interface Design for Digital Cultural Heritage"A showcase for the range and the potential of. . . . 'big data' literary study. A new, turbocharbged sort of philology—one covering wider swaths of literature than even the most diligent and asocial researcher could ever read."--Chronicle of Higher Ed "A massively important book. . . . If you want to know what a major part of literary criticism will look like in 20 years, you need to read Macroanalysis.--Los Angeles Review of Books
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About the Author
Matthew L. Jockers is an assistant professor of English at the University of Nebraska-Lincoln.
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Product details
Series: Topics in the Digital Humanities
Paperback: 208 pages
Publisher: University of Illinois Press; 1st edition (April 1, 2013)
Language: English
ISBN-10: 0252079078
ISBN-13: 978-0252079078
Product Dimensions:
6.1 x 0.8 x 9.2 inches
Shipping Weight: 12 ounces (View shipping rates and policies)
Average Customer Review:
4.7 out of 5 stars
6 customer reviews
Amazon Best Sellers Rank:
#1,016,021 in Books (See Top 100 in Books)
A perfect introduction to "distant reading".
Fairly good book highlighting the importamce of a new trend in the digital humanities. At this point several of the methods are beginning to be outdated.
The first half of the book gives a perfect, succinct, and accessible articulation of large-scale analysis. The second half offers some well-explained examples and case studies.
Everyone knows that computers are changing everything. You might not expect that they are changing the way that professors of English analyze literature. This is, however, happening, and is leading to unexpected insights. _Macroanalysis: Digital Methods and Literary History_ (University of Illinois Press) by Matthew L. Jockers is a sort of manifesto for the use of enormous databases to tell us about trends and meanings that could not be perceived before. Jockers says that the emerging field has come to be called "digital humanities" after being known as "humanities computing." Concordance work preceded the use of digital computers, but computers have brought powerful ways to seek answers. "The humanities computing/digital humanities revolution has now begun," writes Jockers, "and big data have been a major catalyst. The questions we may now ask were previously inconceivable, and to answer these questions requires a new methodology, a new way of thinking about our object of study."It certainly must be new for the English professors who have previously done their work without computers. "Like it or not," writes Jockers, "today's literary-historical scholar can no longer risk being _just_ a close reader: the sheer quantity of available data makes the traditional practice of close reading untenable as an exhaustive or definitive method of evidence gathering. Something important will inevitably be missed." One of the surprising findings described here is that little words make the great difference. A writer might have to decide, perhaps repeatedly, whether to describe a sunset as "beautiful" or as "magnificent." Such choices take conscious reflection, but they tell less than does the use of little, automatic words like "the," "of," and "it." These words, outside of our conscious control, are, says Jockers, like the "tell" exhibited by a poker player. It would be excruciating work to tally up such tiny, seemingly insignificant differences, but that's the sort of work a computer can do with ease, giving insight into authorship that is available no other way. A computer cannot understand a novel the way we do, but that does not stop it from being able to spot styles. Distinctions of word use in different styles are helping literary scholars define what genres are out there, and the foundations for classifying novels into them. Computers know nothing of plot or protagonists, but they have proven capable of defining genres by word use and they can make charts called dendrograms that look like family trees the evolutionists use, showing how one style descended from another.Jockers understands that there are limitations for this sort of evaluation of literature, and jokes about how "more controversial and objectionable would be an argument along the lines of `Moby Dick is God, and I have the numbers to prove it.'" I thought also of the great expression of the difference between understanding literature and enjoying it, in the description in _Catch-22_ of the character Clevinger: "He knew everything there was to know about literature, except how to enjoy it." Computers with their word counts, endlessly sorted and refined, might help our understanding; if this understanding helps our enjoyment, let them keep crunching.
Jocker's Macroanalysis is a wonderful read. As someone who dabbles in text mining and encourages a new generation of young scholars to consider the application of computing to a deep analysis of their texts of interest, i found myself nodding in agreement more and more as i continued through the book. While on occasion i wished i understood more of the details in each of the applied analyses, i quickly appreciated that Jocker's intent was much more of an encouragement to understand the potential of analyses in the large rather than YABOM (Yet Another Book On Methods). Part II of his book is must reading for anyone who wants to see concrete examples of how computational analysis seeks to answer new questions of large bodies of text.Perhaps most importantly from my perspective was how the book encouraged me to consider new avenues for text mining. Rarely do i get motivated when reading technical material. But motivated i was ... and am; i finished the last page with copious notes, tens of new experiments in mind, and a joy of working in this field not felt since first reading papers by John Burrows.
Jockers's Macroanalysis represents a major advance in digital humanities and literary studies. In elegant and enjoyable prose, Jockers demonstrates how a variety of cutting-edge computational techniques can bring us new insights about style, genre, and literary history, in a manner that is both precise and comprehensive. Jockers invites us into his workshop, but treats the technical aspects of his approaches with light touch. The result is a delightful book that will be required reading for anyone who wants to understand and practice digital literary scholarship.
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