Ryan Cordell and David Smith, Viral Texts: Mapping Networks of Reprinting in 19th-Century Newspapers and Magazines (2017), http://viraltexts.org
Ryan Cordell and David Smith, Viral Texts: Mapping Networks of Reprinting in 19th-Century Newspapers and Magazines (2017), http://viraltexts.org
https://vimeo.com/100791450
Credit:
Micki Kaufman,
Quantifying Kissinger project
No individual scholar can read and proofread each text, so the texts we use will have errors, from small typos to missing chapters, which may cause problems in the aggregate. Ideally, to address this issue, scholars could create a large, collaboratively edited collection of plain-text versions of literary works that would be open access."
Swafford, Joanna. “‘49. Messy Data and Faulty Tools | Joanna Swafford’ in ‘Debates in the Digital Humanities 2016’ on Manifold.” In Debates in the Digital Humanities. Accessed October 13, 2020. https://dhdebates.gc.cuny.edu/read/untitled/section/7e0afe14-e266-4359-aa4a-5dff02735e8b#ch49.
Term (coined by Franco Moretti)referring to the use of computational methods to analyze literary texts.
"I have chosen distant reading because the phrase underlines the macroscopic scale of recent literary-historical experiments, without narrowly specifying theoretical presuppositions, methods, or objects of analysis."
Ted Underwood,2017.
The automatic extraction of information from different textual resources with the purpose of revealing patterns, dimensions and relations through computational analysis.
Topic modeling is a method of analyzing corpora by identifying semantic classes of words ("topics") and using them as the basis for analysis. It uses algorithms to break down collections of documents into a range of topics that can be used to explore and analyze the text.