{"id":802,"date":"2018-03-06T14:01:17","date_gmt":"2018-03-06T19:01:17","guid":{"rendered":"http:\/\/www.montclair.edu\/chss-digital-media-colab\/?p=802"},"modified":"2018-05-08T12:23:25","modified_gmt":"2018-05-08T16:23:25","slug":"byo-lunch-learn-jonathan-reeve-on-computational-literary-analysis-in-the-digital-humanities","status":"publish","type":"post","link":"https:\/\/www.montclair.edu\/chss-digital-media-colab\/2018\/03\/06\/byo-lunch-learn-jonathan-reeve-on-computational-literary-analysis-in-the-digital-humanities\/","title":{"rendered":"BYO Lunch &amp; Learn: Jonathan Reeve on Computational Literary Analysis in the Digital Humanities"},"content":{"rendered":"<p><strong>Date and Time:<\/strong>\u00a0Wednesday, Mar 14, 2018 from 12:00 PM &#8211; 1:00 PM<br \/>\n<strong>Location:<\/strong>\u00a0Schmitt Hall, 135<\/p>\n<p>How can computers help us to better understand literature? Computational literary analysis, a subfield of digital humanities, is a new discipline applying the quantitative methods of computer science to questions of literary criticism. This talk presents an overview of some recent computational approaches to literary analysis, including works in\u00a0progress at the Literary Modeling and Visualization Lab at Columbia\u00a0University, such as:<br \/>\n&#8211; Sentence structure analyses of the works of Henry James<br \/>\n&#8211; Statistical approaches to the study of character voice in James Joyce, Virginia Woolf, and Samuel Richardson<br \/>\n&#8211; Macro-etymological analyses of the works of Chaucer, Milton,\u00a0and Joyce<br \/>\n&#8211; Diachronic analyses of the literary criticism surrounding George Eliot&#8217;s\u00a0<em>Middlemarch<\/em><br \/>\n&#8211; Linguistic fingerprinting of the chapter in 45,000 novels<\/p>\n<p>On March 14, Columbia University&#8217;s Jonathan Reeve will be giving two talks on these topics:<\/p>\n<p><strong><span class=\"notranslate\">&#8220;<\/span><\/strong><span class=\"notranslate\"><strong>New Computational Approaches to the Study of Literary Style in the Digital Humanities&#8221;\u00a0<\/strong><br \/>\nCenter for the Digital Humanities, Schmitt 135<\/span><br \/>\n12:00 &#8211; 1:00 pm<\/p>\n<p><strong>&#8220;The Open Scholarly Editions of James Joyce&#8217;s\u00a0<em>Ulysses\u00a0<\/em>and\u00a0<em>A Portrait of the Artist<\/em>&#8220;<\/strong><br \/>\nUniversity Hall 2031<br \/>\n8:30 &#8211; 10 am<\/p>\n<p>Both talks are free and open to the public.<\/p>\n<p>Jonathan Reeve is a graduate student and researcher in the Literary Modeling and Visualization Lab at Columbia University, working in the intersections between English literary study and computational text analysis. His latest publication is &#8220;A Macro-Etymological Analysis of James Joyce&#8217;s\u00a0<em>A Portrait of the Artist as a Young Man<\/em>&#8221; in\u00a0<em>Reading Modernism with Machines<\/em>, Palgrave Macmillan, 2017.<\/p>\n<p>Sponsored by the English Department&#8217;s Visiting Writers Committee and the CHSS Center for Digital Humanities.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Date and Time:\u00a0Wednesday, Mar 14, 2018 from 12:00 PM &#8211; 1:00 PM Location:\u00a0Schmitt Hall, 135 How can computers help us to better understand literature? Computational literary analysis, a subfield of digital humanities, is a new discipline applying the quantitative methods of computer science to questions of literary criticism. This talk presents an overview of some [&hellip;]<\/p>\n","protected":false},"author":52,"featured_media":805,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"footnotes":""},"categories":[4],"tags":[],"class_list":["post-802","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-events"],"_links":{"self":[{"href":"https:\/\/www.montclair.edu\/chss-digital-media-colab\/wp-json\/wp\/v2\/posts\/802","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.montclair.edu\/chss-digital-media-colab\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.montclair.edu\/chss-digital-media-colab\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.montclair.edu\/chss-digital-media-colab\/wp-json\/wp\/v2\/users\/52"}],"replies":[{"embeddable":true,"href":"https:\/\/www.montclair.edu\/chss-digital-media-colab\/wp-json\/wp\/v2\/comments?post=802"}],"version-history":[{"count":4,"href":"https:\/\/www.montclair.edu\/chss-digital-media-colab\/wp-json\/wp\/v2\/posts\/802\/revisions"}],"predecessor-version":[{"id":1169,"href":"https:\/\/www.montclair.edu\/chss-digital-media-colab\/wp-json\/wp\/v2\/posts\/802\/revisions\/1169"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.montclair.edu\/chss-digital-media-colab\/wp-json\/wp\/v2\/media\/805"}],"wp:attachment":[{"href":"https:\/\/www.montclair.edu\/chss-digital-media-colab\/wp-json\/wp\/v2\/media?parent=802"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.montclair.edu\/chss-digital-media-colab\/wp-json\/wp\/v2\/categories?post=802"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.montclair.edu\/chss-digital-media-colab\/wp-json\/wp\/v2\/tags?post=802"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}