Session 6
Oct. 30
planned
Topic Modeling
Fit and interpret a small topic model, check it against source texts, and define a feasible hackathon analysis.
Korean Studies · Digital Humanities
BA3 Text as Data
This six-class digital humanities strand introduces text-as-data methods for Korean Studies and concludes with an in-class hackathon. Using Orange Data Mining and prepared corpora, you will learn to organize and compare texts. The course also includes curated R exercises and regular work in GitHub.
- Dates
- Sep. 18–Nov. 13, 2026
- Class time
- Fridays, 09:15–11:00
- Location
- Digital Humanities Lab · Johan Huizinga 0.09
Course map
Six classes and one in-class project
Each class introduces one main research design, demonstrates it, and gives you time to begin the week’s assignment.
Session 1–4 guides are available now. Later guides open on the dates shown.
Session 1
Sep. 18
upcoming
Introduction to Text as Data
Define a feasible text-as-data question and create a course repository.
Session 2
Sep. 25
planned
Text Preprocessing
Apply and document a small set of preprocessing choices, and then inspect how they change the text.
Session 3
Oct. 2
planned
Descriptive Patterns
Represent texts as counts and TF-IDF weights, and use simple visuals to describe the corpus.
Session 4
Oct. 9
planned
Clustering and Similarity
Compare documents by vocabulary, group them with hierarchical clustering, and explain how k-means differs.
Session 5
Oct. 16
planned
Sentiment Analysis and Clustering
Score texts with a sentiment dictionary, group them with hierarchical clustering, and read where the scores are useful or misleading.
Final
Nov. 13
hackathon
In-class text-as-data hackathon
Plan your hackathon analysis.
How each class works
- Complete the attendance survey and answer short questions about earlier material. Devices may be used.
- Review the main research decision for the day.
- Put screens and phones away during the lecture.
- Open your laptop and follow the demonstration.
- Save the work and review the assignment checklist. Finish any remaining steps after class.
Read the complete classroom routine and electronics policy →
Assessment
Within the DH strand
The strand is 25% of the full course grade.
30%
Weekly deliverables & attendance
70%
In-class hackathon
Standard track
Learn through Orange
Orange Data Mining keeps the analytical workflow visible. The R activities provide introductory programming practice.
BA2 review track
Do it again in R
If you took BA2 Digital Korea, you may review the course. Complete every weekly assignment and the hackathon in R. Orange is not permitted.