Schedule for Room 103

Link to Data Sets

week 01

Class 01 (January 10, 2023): Logistics, Introductions, Bag of Words Exploration

In-class content

• Topics: Introductions, Course Overview,
• Handouts: None

Class 02 (January 13, 2023): Thoughts on Language/Power, Further Bag of Words Exploration, Introduction to Python

Before class

• Read the following articles:
  1. Mayflower Mouth, by Anand Giridharadas.
  2. 'Crafty' Vs. 'Sneaky': How Racial Bias In Sports Broadcasting Hurts Everyone, by Karen Given, broadcast on WBUR, 27 June 2020. Based on research by Rashawn Ray and Steven Foy.
  3. There is one Correct Way of Writing and Speaking, by Anjali Pattanayak, in Bad Ideas about Writing, Edited by Cheryl E. Ball & Drew M. Loewe, West Virginia University Libraries, 2017.
• Possible discussion questions:
  • What, if anything, particulary resonated with you?
  • What questions do you have about the readings?
  • What are some questions or topics you'd like to discuss as a class?

In-class content

• Discuss Reading
• Experiment and explore with words in bags
• Introduction to python

week 02

Class 03 (January 17, 2023): Word Frequencies and Python, nltk, etc.

In-class content

• Topics: Introductions, Course Overview,
• Handouts: None

Class 04 (January 20, 2023): Word Frequencies, Texas History Textbooks Case Study

Before class:

• Read: Lucy, Li, et al. "Content analysis of textbooks via natural language processing: Findings on gender, race, and ethnicity in Texas US history textbooks." AERA Open 6.3 (2020): 2332858420940312.

In-class content

• Discuss reading.
• Share word frequency investigations.
• It snowed so we were on zoom.
• Dave was out of town.
• Handouts: None

week 03

Class 05 (January 24, 2023): Logistics, Introductions, Bag of Words Exploration

In-class content

• Topics: Introductions, Course Overview,
• Handouts: None

Class 06 (January 27, 2023): Word Embeddings

In-class content

• Topics: VAD semantic space, vector spaces, word2vec.
• Handouts: Word Embeddings Activity

week 04

Class 07 (January 31, 2023): Word Embeddings, Some more Word Frequency Coding

To do before class

• Read: Garg, Nikhil, et al. "Word embeddings quantify 100 years of gender and ethnic stereotypes." Proceedings of the National Academy of Sciences 115.16 (2018): E3635-E3644.

In-class content

• Discuss Reading.
• Coding Exercise: Handout

Class 08 (Feb 3, 2023): Introduction to Digital Humanities

To do before class

• Do the exploration outlined on this google colab notebook. Be prepared to informally present some of the results of your explorations.
• Read: How Words Lead to Justice, by Lauren F. Klein and Sandeep Soni

In-class content

• Paired frequency plot example (colab notebook)
• Introduction to digital humanities
• Discuss reading
• Share results from semantic vectors and disuss
• Some coding TBA

week 05

Class 09 (February 7, 2023): Intro to Topic Modeling, Concept Mapping Exercise

To do before class

• None

In-class content

• Introduction to Topic Modeling
• Presentation Slides
• LDA Visualization Example
• For more info about LDA
• Latent Dirichlet Allocation (LDA) with Python by Jordan Barber. A very useful and clear walkthrough of LDA, with working python code.
• Concept Mapping Group Exercise.

Class 10 (January 31, 2023): Word Embeddings, Some more Word Frequency Coding

To do before class

• Read: Teddy Roland, Topic Modeling: What Humanists Actually Do With It.
• Andrew Goldstone, What can topic models of PMLA teach us about the history of literary scholarship?

In-class content

• Discuss Reading.
• Midterm Check-in
• Discuss Concept Maps
• Present Project Ideas
• Topic Modeling and other Coding

week 06