
Find high FREX and high lift words for #TidyTuesday Stranger Things dialogue
New functionality in tidytext supports identifying high FREX and high lift words from topic modeling results.
Machine learning, text analysis, and more
New functionality in tidytext supports identifying high FREX and high lift words from topic modeling results.
Learn how to use vetiver to set up different types of prediction endpoints for your deployed model.
After you train a model, you can use vetiver to prepare a Dockerfile and deploy your model in a flexible way.
The slider package provides support for flexible sliding window aggregation, and we can use these kinds of sliding windows to analyze rents over time.
Use summarization, a single linear model, and bootstrapping to understand what economic activities involve a larger pay gap for women.