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Week 1: January 9
Toward critical practice: Transcending the quantitative/qualitative divide
Read:
- Kenneth R. Howe, 1992, Getting Over the Quantitative-Qualitative Debate, American Journal of Education 100: 236-256.
- Todd Presner, 2015, Critical Theory and the Mangle of Digital Humanities, pp. 55-67 in Patrik Svensson and David Theo Goldberg, eds., Between Humanities and the Digital (Cambridge: MIT Press).
- Barbara Herrnstein Smith, 2016, What was “Close Reading”? A Century of Method in Literary Studies, The Minnesota Review 87: 57-75.
- Ted Underwood, 2017, A Genealogy of Distant Reading, Digital Humanities Quarterly 11(2).
Notebook: Introduction to text manipulation in R
- Install R and RStudio on your machine. You may find this video helpful.
- If you do not have previous experience with R, I recommend that you work through the following videos. These will walk you through sections 2.2 - 2.6 of Humanities Data in R, showing you how to work with R in the command line (Part 1), RStudio console (Part 2a), R scripts (Parts 2b and 3), and R Markdown notebooks (Parts 4a, 4b, and 4c).
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Week 2: January 16
Why we code
Read:
- Miriam Posner, 2012, Some Things to Think About Before You Exhort Everyone to Code, Miriam Posner’s Blog, February 29.
- Nick Montfort, 2016, Exploratory Programming in Digital Humanities Pedagogy and Research, Chapter 7 in Susan Schreibman, Ray Siemens, and John Unsworth, eds., A New Companion to Digital Humanities (New York: Wiley).
- Phillip R. Polefrone, John Simpson, and Dennis Yi Tenen, 2016, Critical Computing in the Humanities, pp. 85-103 in Constance Crompton, Richard J. Lane, and Ray Siemens, eds., Doing Digital Humanities: Practice, Training, Research (New York: Routledge).
- Mark C. Marino, 2016, Why We Must Read the Code: The Science Wars, Episode IV, Chapter 13 in Matthew K. Gold and Lauren F. Klein, eds., Debates in the Digital Humanities (Minneapolis: University of Minnesota Press).
- Benjamin M. Schmidt, 2016, Do Digital Humanists Need to Understand Algorithms? Chapter 48 in Debates in the Digital Humanities.
Notebook: Word frequencies
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Week 3: January 23
Scaling the digital archive
Read:
- Stephen Ramsay, 2010, The Hermeneutics of Screwing Around; or What You Do with a Million Books, Playing with Technology in History Conference.
- Jo Guldi, 2015, Time Wars of the Twentieth Century and the Twenty-First Century Toolkit, pp. 253-265 in Between Humanities and the Digital.
- Tara McPherson, 2015, Post-Archive: The Humanities, the Archive, and the Database, pp. 483-502 in Between Humanities and the Digital.
- Megan Ward and Adrian S. Wisnicki, 2019, The Archive after Theory, Chapter 18 in Matthew K. Gold and Lauren F. Klein, eds., Debates in the Digital Humanities (Minneapolis: University of Minnesota Press).
- Andrew Gomez, 2019, The Making of the Digital Working Class: Social History, Digital Humanities, and its Sources, Chapter 33 in Debates in the Digital Humanities.
Week 4: January 30
Notebook: Sentiment analysis
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Week 5: February 6
Clustering and classification
Read:
- David Bamman, Jacob Eisenstein, and Tyler Schnoebelen, 2014, Gender Identity and Lexical Variation in Social Media, Journal of Sociolinguistics 18: 135-160.
- Matthew L. Jockers and Ted Underwood, 2016, Text-Mining the Humanities, Chapter 20 in A New Companion to Digital Humanities.
- Lisa Marie Rhody, 2016, Why I Dig: Feminist Approaches to Text Analysis, Chapter 46 in Debates in the Digital Humanities.
- Nikhil Garg, Londa Schiebinger, Dan Jurafsky, and James Zou, 2018, Word Embeddings Quantify 100 Years of Gender and Ethnic Stereotypes, Proceedings of the National Academy of Sciences 115: E3635-E3644.
Notebook: Document clustering
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Week 6: February 13
Digitizing gender
Read:
- Ted Underwood and David Bamman, 2016, The Instability of Gender, The Stone and the Shell, January 9.
- Matthew Jockers and Gabi Kirilloff, 2016, Understanding Gender and Character Agency in the 19th Century Novel, Journal of Cultural Analytics, December 1.
- Ted Underwood, David Bamman, and Sabrina Lee, 2018, The Transformation of Gender in English-Language Fiction, Journal of Cultural Analytics, February 13.
- Laura Mandell, 2019, Gender and Cultural Analytics: Finding or Making Stereotypes?, Chapter 1, Debates in the Digital Humanities.
- Seth Long and James Baker, 2019, The Elusive Digital/Critical Synthesis, Chapter 17, Debates in the Digital Humanities.
Notebook: Document classification
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Week 7: February 20
Topic modeling
Read:
- Megan R. Brett, 2012, Topic Modeling: A Basic Introduction, Journal of Digital Humanities 2(1).
- Kevin M. Quinn, Burt L. Monroe, Michael Colaresi, and Michael H. Crespin, 2010, How to Analyze Political Attention with Minimal Assumptions and Costs, American Journal of Political Science 54: 209-228.
- Andrew Goldstone and Ted Underwood, 2014, The Quiet Transformations of Literary Studies: What Thirteen Thousand Scholars Could Tell Us, New Literary History 45: 359-384.
- Lisa Marie Rhody, 2015, The Story of Stopwords: Topic Modeling an Ekphrastic Tradition, lisarhody.com, May 6.
- Jeffrey M. Binder, 2016, Alien Reading: Text Mining, Language Standardization, and the Humanities, Chapter 18 in Debates in the Digital Humanities.
- Laura K. Nelson, 2017, Computational Grounded Theory: A Methodological Framework, Sociological Methods and Research, 2017.
Notebook: Topic modeling, part 1
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Week 8: Feburary 27
Writing and visualizing
Read:
- Lincoln Mullen, 2019, A Braided Narrative for Digital History, Chapter 31 in Debates in the Digital Humanities.
- Kellen Funk and Lincoln Mullen, The Spine of American Law: Digital Text Analysis and U.S. Legal Pracice, The American Historical Review 123: 132-164.
- Ryan Cordell, 2015, Reprinting, Circulation, and the Network Author in Antebellum Newspapers, American Literary History 27(3).
- David A. Smith, Ryan Cordell, and Abby Mullen, 2015, Computational Methods for Uncovering Reprinted Texts in Antebellum Newspapers, American Literary History 27(3).
- Johanna Drucker, 2016, Graphical Approaches to the Digital Humanities, pp. 290-302 in A New Companion to Digital Humanities.
- Stefan Sinclair and Geoffrey Rockwell, 2016, Text Analysis and Visualization: Making Meaning Count, pp. 330-349 in A New Companion to Digital Humanities.
Notebook: Topic modeling, part 2
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Week 9: March 5
No class - work on your projects
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Week 10: March 12
Project presentations
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Final project due 3/16, 5pm