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

Classification

Learning Objective: Understand the document classification task, evaluate classification models, evaluate, and deal with errors

Lecture