Readings
- Judith H. Dobrzynski, “Modernizing Art History,” The Wall Street Journal.
http://online.wsj.com/news/articles/SB10001424052702304518704579519632304010744
- Ted Underwood, “Where to Start with Text Mining,” The Stone and the Shell. http://tedunderwood.com/2012/08/14/where-to-start-with-text-mining/
- Dan Cohen, “Searching for the Victorians,” Dan Cohen’s Digital Humanities Blog (October 4, 2010). http://www.dancohen.org/2010/10/04/searching-for-the-victorians/
- Hadley Wickham, “Tidy Data,” Journal of Statistical Software, Submitted. http://vita.had.co.nz/papers/tidy-data.pdf. (Read through the end of section 3 on page 13.)
Morning (9am to 12pm)
- Introduction to data and digital methods for measuring, describing and analyzing text and numeric datasets with Lisa Rhody.
- Hands-on Session 1: Google N-Grams Viewer and Bookworm
- Demo Session 1: Identifying and preparing specific datasets: Looking together at example datasets, we will identify three types of data that we want to work with and identify important attributes of a usable dataset for description, measurement, and analysis.
- Anatomy of tabular data
- Anatomy of textual data
- Break for lunch
Afternoon (1-4pm)
- Demo Session 2: Finding the right tool for your questions: A quick overview followed by hands-on activities
- Hands-on Session 2: Using Voyant, participants will perform word frequency, corpus grid, corpus summary, and keyword in context analysis.
- Demo Session 3: Examining large corpora of texts to detect trends and patterns.
- Close 4pm. Bus: 4:15pm
Homework
- Think about the kinds of data you have, or might want to work with, and what steps are needed to get it ready for the appropriate method of analysis you learned about today.
Sites
Tools
Reference
