Created by the Center for Digital Research in the Humanities.
Laura White, Principal Investigator, John E. Weaver Professor of English
Carmen Smith, Associate Investigator, Ph.D. candidate, English
Brian Pytlik Zillig, Professor, Libraries and Fellow, CDRH
Laura Weakly, Metadata Encoding Specialist, CDRH
Karin Dalziel, Digital Design/Development Specialist, CDRH
Stephen Ramsay, Susan J. Rosowski Associate University Professor, English, and Fellow, CDRH (on project 2011-13)
Matthew Jockers, Assoc. Professor, English, and Fellow, CDRH (on project 2013-present)
Jessica Dussault, Programmer, CDRH
The TEI below contains the markup that was used to power the visualizations.
First all documents were encoded following a sample encoding developed by Laura Weakly. More on this process can be found in the background section. XSLT was then used to transform the documents into HTML which preserved many of the elements of the TEI, including speaker and FID information. For the visualizations, CSS and Javascript was written to highlight various aspects of the markup. For the document search, an XSLT script was written to convert the TEI XML into the Solr XML ingest format, with each <said> tag representing one document in the Solr index. We automatically numbered the <said> so that results can be viewed in document order.
For the word frequencies, XSLT scripts were written to create a unique word list for each character and trait.
The first proof of concept version of Austen Said was developed in Apache Cocoon, before creating the current iteration in Ruby on Rails. Cocoon allowed for dynamic XSLT transformations, while files in the Ruby on Rails version are preprocessed whenever files change.
Created by the Center for Digital Research in the Humanities.