Week 7: Text analysis

Response due Monday

Tuesday, March 4: Computational humanities

• Readings
  • Jo Guldi, from The dangerous art of text mining: a methodology for digital history, (Cambridge: 2023). (Moodle)
  • Enumerations, Andrew Piper (Moodle)

CLASS CANCELLED

Activities:

• Complete the project ideation activity on Moodle – this will help you develop ideas for our next 3 assignments and also help me recommend resources and tools.
• Register for a JSTOR/Constellate account: see AskAthena Constellate doc
• Optional activities (participation extra credit):
  • Listen to New Books Network podcast episode: “Ashley Sanders, Visualizing History’s Fragments: A Computational Approach to Humanistic Research”- a short (20-min) explanation of a text-mining project. Write a response for credit.
  • Work through this Regex tutorial or brush up on Python using the Cultural Analytics Tutorial or another resource such as W3 or Automate the Boring Stuff. Post a screenshot or brief response for credit.
  • Read your classmates’ responses on the readings and reply to one or more of them.
  • Write a response to Thursday’s reading: Ted Underwood, Seven ways humanists are using computers to understand text.

Thursday, March 6: Methods of text mining

• Readings
  • Ted Underwood: 7 Ways Humanists… internet archive version
• In class
  • Workshop: Text Analysis Slides

Friday, March 8: Project statement of interest due on Moodle

Write a 200-300 word proposal describing your final project idea. Be sure to answer these questions:

• What sources (or types of sources) you will use
• What you will create (i.e. a dataset, an exhibit, an edition, a visualization, a game/story, etc.)
• What methods or tools you will use to process or present the materials

Refer to the final project assignment guidelines.

« Previous

Next »