<?xml version="1.0" encoding="UTF-8"?><TEI xmlns="http://www.tei-c.org/ns/1.0"><teiHeader><fileDesc><titleStmt><title type="full"><title type="main">TexTiles</title><title type="sub">Visualizing the Patterns of Discourse</title></title></titleStmt><author><persName><surname>Roessler</surname><forename>Robert</forename></persName><affiliation>Harvard University, United States of America</affiliation><email>robertroessler@g.harvard.edu</email></author><author><persName><surname>Behrisch</surname><forename>Michael</forename></persName><affiliation>Harvard University, United States of America</affiliation></author><author><persName><surname>Beyer</surname><forename>Johanna</forename></persName><affiliation>Harvard University, United States of America</affiliation></author><editionStmt><edition><date>43997</date></edition></editionStmt><publicationStmt><publisher>Name, Institution</publisher><address><addrLine>Street</addrLine><addrLine>City</addrLine><addrLine>Country</addrLine><addrLine>Name</addrLine></address></publicationStmt><sourceDesc><p>Converted from an OASIS Open Document</p></sourceDesc></fileDesc><encodingDesc><appInfo><application ident="DHCONVALIDATOR" version="1.22"><label>DHConvalidator</label></application></appInfo></encodingDesc><profileDesc><textClass><keywords scheme="ConfTool" n="category"><term>Paper</term></keywords><keywords scheme="ConfTool" n="subcategory"><term>Lightning</term></keywords><keywords scheme="ConfTool" n="keywords"><term>Digital Discourse Analysis</term><term>Data Visualization in the Humanities</term><term>Keywords in Context Analysis</term></keywords><keywords scheme="ConfTool" n="topics"><term>Europe</term><term>English</term><term>19th Century</term><term>Interface design, development, and analysis</term><term>text mining and analysis</term><term>History of science</term><term>Literary studies</term></keywords></textClass></profileDesc></teiHeader><text><body><p>Discourse analysis is a well-established method in the humanities to analyze historical trends and knowledge figurations that are inscribed in the texts of an era. While these trends are manifested as linguistic nuances in a variety of ways, the actual discourse remains a rather abstract concept. The goal of our paper is to develop a visual representation of such a discourse. We present TexTiles, a Visual Analytics framework that allows domain specialists to visually trace historical discourses in large text corpora. The prototype allows scholars to curate a customizable corpus, analyze keywords in context, and explore the network of these context words within the corpus. Allowing for a hybrid approach between close and distant reading practices, we demonstrate the utility of our application based on a case study on the discovery of the unconscious and the mechanics of repression in the long 19th century.</p></body></text></TEI>