Topic modeling for Spice Girls lyrics
Topic modeling is an unsupervised machine learning approach for “discovering” topics in text data. In this screencast, learn how to use R to prepare text for this algorithm, train a model, and then deeply understand and explore the results, with #TidyTuesday Spice Girls lyrics. Check out the code on my blog: https://juliasilge.com/blog/spice-girls

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Predict injuries for Chicago traffic crashes with tidymodels

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An Introduction to Topic Modeling

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Sentiment analysis with tidymodels for Animal Crossing user reviews

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R-Ladies Freiburg (English) - Text analysis with R: Topic modeling

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Dimensionality reduction of United Nations voting patterns

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Predict ratings for chocolate with tidymodels

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Text analysis in R. Part 1: Preprocessing

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Weighted log odds ratios for haunted places in the US

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PCA and UMAP with tidymodels and cocktail recipes

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David Robinson - Ten Tremendous Tricks in the Tidyverse

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Class imbalance and classification metrics with aircraft wildlife strikes

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How To Think SO CLEARLY People Assume You're A Genius

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Latent Dirichlet Allocation (Part 1 of 2)

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R-Ladies Bergen (English) - "Taking text data analysis to the next level"

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Get started with tidymodels and classification of penguin data

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BERTopic Explained

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Why AI Agents are either the best or worst thing we’ve ever built

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Creating Features for Machine Learning from Text – Julia Silge, March 2022

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Rachel Brynsvold - Literary Analysis via NLP: Topic Modeling Project Gutenberg (PyTexas 2017)
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