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

Causal Inference with Text

Learning Objective: Understand how to treat quantities from a text analysis as treatments, as confounders, and as outcomes.

Lecture