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Class 8 Notes

Page history last edited by Alan Liu 9 years, 2 months ago

Preliminary Class Business


  • No class next Tuesday
  • Transcriptions Research Slam, "SynchDH" (May 8th)


1. Thinking Ahead to the Class Project


  • Unless we come to a decision today about a corpus, for the next class each student (or pairs or groups of students working in collaboration) should come up with an idea for a corpus of works we can study.  The criteria for a good corpus include some combination of the following features:
    • The corpus should have scale.  (The corpus doesn't have to be gigantic, but there should be enough works to make it sensible to use digital humanities methods to study them--say, at least 20 works at a minimum.)
    • The corpus should be accessible.
      • Ideally the works would be out of copyright or otherwise in the public domain.
      • Ideally, we can get digital versions of the works fairly easily, so we don't have to spend a lot of time on that.
    • The corpus should have some balance between consistency (e.g., a focus on works of a certain kind from a certain period) and differentiation. (E.g., the corpus could sub-types of works that can be compared, or it can be compared as a whole to another corpus of some sort.)
    • Hopefully, the corpus should include works or issues that interest you.



Flow chart of class project design


  • Continued class discussion of ideas about a corpus to study:
    • Ideas mentioned so far:
      • Corpus [TBD] -- topic model analysis and comparison
        • E.g., Study the 19th-century novels we have and compare novels by women, men, and anonymous.
      • Corpus of translations --
    • Some possible suggestions from the instructor:
      • Study a small set of modern "dystopian" novels if we can get them in digital form; then use text analysis and topic modeling methods to find the nearest matches in the 19th-century corpus of novels.
      • Study a corpus where it makes sense to use both topic modeling and social network analysis.


2. Social Network Analysis



Readings for today



3. More on the Social Network Paradigm



4. Mapping in the Digital Humanities




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