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

Scaling I

Measurement

Learning Objective: Understand the measurement basis of unidimensional scaling models from text, their strengths and limitations

Lecture