Schedule
Weekly Schedule
| Week | Topic | Date |
|---|---|---|
| Week 01 | Introduction, Overview of the course | January 17, 2024 |
| Week 02 | From Text to Matrices: Representing Text as Data | January 24, 2024 |
| Week 03 | Text Similarity, Text re-use and Complexity | January 31, 2024 |
| Week 04 | Supervised Learning I: Dictionary Methods and Off-the-Shelf Classifiers | February 07, 2024 |
| Week 05 | Supervised Learning II: Training your own classifiers | February 14, 2024 |
| Week 06 | Replication Class I: Students’ Presentation | February 21, 2023 |
| Week 07 | Unsupervised Learning: Topic Models | February 28, 2024 |
| Week 08 | Word Embeddings: What are they and how to estimate? | March 13, 2024 |
| Week 09 | Word Embeddings: Social Science Applications | March 20, 2024 |
| Week 10 | Using Text to Measure Ideology - Scaling | March 27, 2024 |
| Week 11 | Replication Class II | April 03, 2024 |
| Week 12 | Large Language Models: Theory and Fine-tuning a Transformers-based model (Invited Speaker Dr. Sebastian Vallejo) | April 10, 2024 |
| Week 13 | Large Language Models: Outsourcing Applications | April 17, 2023 |
| Week 14 | Presentations of Final Projects | April 24, 2024 |
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