Word Vectors: Walkthroughs and Hands-on Practice

Sarah Connell and Julia Flanders

2021-06-29

  1. Conceptual Orientation and R Basics
  2. R, RStudio, RMarkdown
  3. Tour of RStudio Server
  4. Orienting yourself—projects and working directories
  5. Running code in RStudio
  6. Functions
  7. Variables
  8. Querying an Existing Model
  9. Roadmap: querying an existing model
  10. Clusters
  11. Closest to
  12. Addition
  13. Subtraction
  14. Outline of Model Training in RStudio Server
  15. Model training detail
  16. Loading your texts: process overview
  17. Step one: Collect your texts
  18. Step two: Compress your folder
  19. Step three: Upload the folder
  20. Step four: Read your files into R
  21. Step five: Name your model and combine your texts
  22. Step six: Prepare your texts
  23. Exporting results from clusters and queries
  24. Model training, preparation, and validation
  25. Validation
  26. Setting up a testing folder
  27. Changing your working directory
  28. Exporting results
  29. Exploration and analysis
  30. Visualizing semantic spaces
  31. Principal component analysis
  32. Visualization example 1: PCA plotting of closest terms
  33. Visualization example 2: Exploring clusters with dendrograms
  34. Visualization example 3: Comparing cosine similarities for word pairs
  35. Visualization example 4: Plotting terms associated with multiple keywords
  36. Visualization example 5: Plotting a conceptual domain across two binaries
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