Readings
- “Where to Start with Text Mining,” Ted Underwood. The Stone and the Shell. http://tedunderwood.com/2012/08/14/where-to-start-with-text-mining/
- “Searching for the Victorians,” Dan Cohen’s Digital Humanities Blog, October 4, 2010, http://www.dancohen.org/2010/10/04/searching-for-the-victorians/
- Megan R. Brett, “Topic Modeling: A Basic Introduction” Journal of Digital Humanities (2:1). http://journalofdigitalhumanities.org/2-1/topic-modeling-a-basic-introduction-by-megan-r-brett/
Activities
Guest Instructor, Fred Gibbs
Morning (9-12)
- Discuss readings and blog posts
- Digital History Methods: Close and distant reading through application of text and data mining techniques using corpora of texts to find patterns and to visualize those patterns.
- Hands-on Session 1: Use Bookworm and NGrams to search and identify rhetorical trends in literature found in Google Books and the Open Library
Afternoon (1-4)
- Hands-on Session 2: Using Voyant, participants will compare a body of writings
- Hands-on Session 3: Using Overview.
- If there is time, look at Topic Modeling in the Browser.
Homework
Write a short post, considering how distant reading might apply to your individual projects.
Sites
- With Criminal Intent, http://criminalintent.org/
- Mining the Dispatch, http://dsl.richmond.edu/dispatch/pages/home
- Old Bailey Online, http://www.oldbaileyonline.org/
- Cameron Blevins, Topic Modeling Martha Ballard’s Diary (series of posts), http://historying.org/2010/04/01/topic-modeling-martha-ballards-diary/
Tools
- n-Gram Viewer, https://books.google.com/ngrams/
- Bookworm, http://bookworm.culturomics.org/
- Voyant Tools, http://voyant-tools.org/
- Overview, http://overview.ap.org/
- Topic Modeling in the Browser, http://mimno.infosci.cornell.edu/jsLDA/
Reference
- Fred Gibbs’s, Getting Started in Text Mining, http://fredgibbs.net/courses/etc/getting-started-with-text-mining
- Miriam Posner, “Very Basic Strategies for Interpreting Results from the Topic Modeling Tool,” http://miriamposner.com/blog/very-basic-strategies-for-interpreting-results-from-the-topic-modeling-tool/
- John Burrows, “Textual Analysis,” A Companion to Digital Humanities http://nora.lis.uiuc.edu:3030/companion/view?docId=blackwell/9781405103213/9781405103213.xml&chunk.id=ss1-4-4&toc.depth=1&toc.id=ss1-4-4&brand=9781405103213_brand
- Basic introduction of text mining principles and terminology: http://www.cch.kcl.ac.uk/legacy/teaching/av1000/textanalysis/method.html
- Shlomo Argamon et al., “Gender, Race, and Nationality in Black Drama, 1950-2006: Mining Differences in Language Use in Authors and Their Characters,” Digital Humanities Quarterly, 3:2 (2009), http://digitalhumanities.org/dhq/vol/3/2/000043/000043.html.
- Lauren Klein and Jacob Eisenstein, “Reading Thomas Jefferson with TopicViz: Towards a Thematic Method for Exploring Large Cultural Archives,” Scholarly and Research Communications 4, no. 3 (2013), http://src-online.ca/index.php/src/article/view/121/259