Elective: Text as Data

1. Text as Data 2. Text as Data as Measurement 3. Dictionaries (1. construction) 4. Dictionaries (2. evaluation and analysis) 5. Topic models (1. construction) 6. Topic models (2. extensions and limitations) 7. Space and Similarity 8. Sentiment 9. Scaling (1) 10. Scaling (2) 11. Text Classification 12. Causal Inference with Text

Topic Models I

Construction

Learning Objective: Understand how topic models work and how they relate to content analysis dictionaries

Lecture