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!
Processes for Data Preparation and Model Training © 2007 Syd Bauman, Julia Flanders, and the Women Writers Project This TEI-encoded XML file is available under the terms of the Creative Commons Attribution-ShareAlike 3.0 (Unported) license.