14  Supervised Text Classification: textrecipes (todo)

Note

Proposed chapter scope: Applying the tidymodels framework to text using textrecipes for feature engineering. Covers bag-of-words, TF-IDF features, and embedding-based features as inputs to classifiers. Builds directly on chapters 13 (ML workflow) and provides a concrete social-science use case for supervised ML.

Perhaps discuss topic models also as a teaser for ch 15, but perhaps not as who uses lda these days?