



{"id":937,"date":"2013-10-10T15:43:02","date_gmt":"2013-10-10T15:43:02","guid":{"rendered":"http:\/\/research.unl.edu\/annualreport\/2013\/?p=937"},"modified":"2013-11-05T19:42:46","modified_gmt":"2013-11-05T19:42:46","slug":"pioneering-new-era-for-literary-scholarship","status":"publish","type":"post","link":"https:\/\/research.unl.edu\/annualreport\/2013\/pioneering-new-era-for-literary-scholarship\/","title":{"rendered":"<h2>Pioneering New Era for <\/h2><h1>Literary Scholarship<\/h1>"},"content":{"rendered":"<p>Matthew Jockers looks at literature the way Keanu Reeves\u2019 film character, Neo, looks at the The Matrix. The UNL assistant professor of English combines computer programming with digital text-mining to produce deep thematic, stylistic analyses of literary works throughout history \u2013 an intensely data-driven process he calls macroanalysis. It\u2019s opening up new methods for literary theorists to study literature.<!--more--><\/p>\n<p>Until recently, his method was limited to a few thousand 18th- and 19th-century works. But an exclusive agreement between UNL and private company BookLamp has given Jockers and researchers from several other U.S. universities the access and tools to look much more deeply into more recent works.<\/p>\n<div class=\"imageBlock\">\n<p><a href=\"http:\/\/research.unl.edu\/annualreport\/2013\/pioneering-new-era-for-literary-scholarship\/jockers_or13_035\/\" rel=\"attachment wp-att-1038\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-large wp-image-1038\" alt=\"Jockers_OR13_035\" src=\"http:\/\/research.unl.edu\/annualreport\/2013\/wp-content\/uploads\/2013\/10\/Jockers_OR13_035-900x600.jpg\" width=\"900\" height=\"600\" srcset=\"https:\/\/research.unl.edu\/annualreport\/2013\/wp-content\/uploads\/2013\/10\/Jockers_OR13_035-900x600.jpg 900w, https:\/\/research.unl.edu\/annualreport\/2013\/wp-content\/uploads\/2013\/10\/Jockers_OR13_035-450x300.jpg 450w\" sizes=\"(max-width: 900px) 100vw, 900px\" \/><\/a><\/p>\n<\/div>\n<p>Organizers have dubbed the effort \u201cUnfolding the Novel.\u201d Ultimately, they\u2019ll consolidate 300 years of high-level book data to study long-term literary trends and patterns.<\/p>\n<p>Like Jockers, BookLamp uses digital tools to compare books by theme and writing style. To power its algorithm, the company works with publishers across the industry to analyze thousands of titles in its decade-old Book Genome Project. The agreement gives Jockers and other scholars digital access to data from those books, allowing them to study book data as diverse as pronoun usage, prevalence of certain words and phrases, word choices of authors of different nationalities and genders, and how specific eras in history affected different genres of literature.<\/p>\n<div class=\"imageBlockStatic\">\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-post-feature wp-image-939\" alt=\"MattJockers_OR13_002\" src=\"http:\/\/research.unl.edu\/annualreport\/2013\/wp-content\/uploads\/2013\/10\/MattJockers_OR13_002-900x600.jpg\" width=\"900\" height=\"600\" srcset=\"https:\/\/research.unl.edu\/annualreport\/2013\/wp-content\/uploads\/2013\/10\/MattJockers_OR13_002-900x600.jpg 900w, https:\/\/research.unl.edu\/annualreport\/2013\/wp-content\/uploads\/2013\/10\/MattJockers_OR13_002-450x300.jpg 450w\" sizes=\"(max-width: 900px) 100vw, 900px\" \/><\/p>\n<blockquote class=\"left\"><p>\u201cThe potential uses of this information are huge. It will enable years of future research.\u201d<br \/>\n&#8212; Matthew Jockers<\/p><\/blockquote>\n<\/div>\n<p>It\u2019s a big step forward and will provide researchers the tools for much deeper understanding of the world\u2019s story through its own stories. By looking holistically at writings published over the years, and at a scale that\u2019s been impossible to do in the past, researchers can help answer larger questions about changes in literary imagination and culture over time.<\/p>\n<p>The work of understanding and organizing data from 300 years of literature is long and difficult. But Jockers knows that he and his collaborators are inaugurating a game-changing, information-rich era of literary scholarship.<\/p>\n<p>\u201cThe potential uses of this information are huge,\u201d he said. \u201cIt will enable years of future research.\u201d<\/p>\n<div class=\"imageBlock\"><iframe loading=\"lazy\" src=\"\/\/www.youtube.com\/embed\/Q0M-yZkWJug?rel=0\" height=\"600\" width=\"900\" allowfullscreen=\"\" frameborder=\"0\"><\/iframe><\/div>\n","protected":false},"excerpt":{"rendered":"<p>Matthew Jockers looks at literature the way Keanu Reeves\u2019 film character, Neo, looks at the The Matrix. The UNL assistant professor of English combines computer programming with digital text-mining to produce deep thematic, stylistic analyses of literary works throughout history &hellip; <a href=\"https:\/\/research.unl.edu\/annualreport\/2013\/pioneering-new-era-for-literary-scholarship\/\">Continue reading <span class=\"meta-nav\">&rarr;<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":1318,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[491,1],"tags":[662,661],"_links":{"self":[{"href":"https:\/\/research.unl.edu\/annualreport\/2013\/wp-json\/wp\/v2\/posts\/937"}],"collection":[{"href":"https:\/\/research.unl.edu\/annualreport\/2013\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/research.unl.edu\/annualreport\/2013\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/research.unl.edu\/annualreport\/2013\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/research.unl.edu\/annualreport\/2013\/wp-json\/wp\/v2\/comments?post=937"}],"version-history":[{"count":6,"href":"https:\/\/research.unl.edu\/annualreport\/2013\/wp-json\/wp\/v2\/posts\/937\/revisions"}],"predecessor-version":[{"id":1463,"href":"https:\/\/research.unl.edu\/annualreport\/2013\/wp-json\/wp\/v2\/posts\/937\/revisions\/1463"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/research.unl.edu\/annualreport\/2013\/wp-json\/wp\/v2\/media\/1318"}],"wp:attachment":[{"href":"https:\/\/research.unl.edu\/annualreport\/2013\/wp-json\/wp\/v2\/media?parent=937"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/research.unl.edu\/annualreport\/2013\/wp-json\/wp\/v2\/categories?post=937"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/research.unl.edu\/annualreport\/2013\/wp-json\/wp\/v2\/tags?post=937"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}