Processes for Data Preparation and Model Training

Julia Flanders and Sarah Connell

2019-07-17

1. Process overview
2. For example: Analyzing city reputation with Airbnb data
3. Data preparation
4. Data sources
5. Data types
6. Data analysis
7. More on regularization and correction
8. Final text preparation
9. A special case: TEI data
10. Training the model
11. Setting parameters
12. Validation and testing: principles
13. Validation and testing: pragmatics
14. Questions? Discussion!

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