Bill Lane Center for the American West: http://www.stanford.edu/group/ruralwest/cgi-bin/drupal/visualizations/us_newspapers

Textual Metadata: Correspondence Networks

Mapping the Republic of Letters

Textual Metadata: Trial Lengths

Data Mining with Criminal Intent/The Old Bailey Online

Co-citation Networks

• Kieran Healy, Philosophy Citations

• Neal Caren, Sociology Citations

• Jonathan Goodwin, Film Studies and more

More data from:

Jstor Data for Research: dfr.jstor.org

dfr.jstor.org

Ngrams: New Archaicism

Ngrams: Presses

Ngrams: 3 common words

Ngrams: 3 2044

Major Sources of Digital Texts

• Hathi Trusthttp://www.hathitrust.org/

• JStor Data for research (dfr.jstor.org)

• EEBO-TCP: http://www.textcreationpartnership.org/tcp-eebo/

• National Newspaper corpora (Chronicling America for the US, Trove for Australia.)
• University Librarians
  • Ask for local copies.

Optical Character Recognition

Ted Underwood, University of Illinois

Word Clouds

History Dissertations, Robert Townsend

Geoparsing and geotagging

Matt Wilkens, Notre Dame: "The distribution of US city-level locations, revealing a preponderance of literary–geographic occurrences in what we would now call the Northeast corridor."

Not just tokens

Texts are "multiply addressable" (Michael Witmore)

Use metadata!

State of the Union Comparisons

Naive Bayes

Even better: Logistic regression

Topic Modeling

David Blei, Princeton University

Macroanalysis: Networks of Topics

Matthew Jockers, University of Nebraska

Go-to software for text analysis.

• With just a web browser:
  • Cut and paste into an online environment: Voyant: voyant-tools.org
• Following some arcane instructions:
  • Topic modeling and machine learning: MALLET
  • Network Analysis: Gephi
  • Data visualization: Tableau?
  • Tutorials at ProgrammingHistorian.org
• Some programming required.
  • Cleaning and processing .txt files: Python
  • Statistical analysis: The "R" Language
  • Data visualization: R or D3 (Javascript, online)
  • Sharing libraries online: Bookworm

(reminder: this list is at benschmidt.org/.pdf)

Open Questions

• Do you (or does someone else) need to program?
• Do you need more texts than you can read?
• If this is interdisciplinary, what discipline?