Text Classification with TF-IDF

Classic NLP without a neural network: classify forum posts into topics using TF-IDF features and a linear classifier. Fetch a few categories of the 20 Newsgroups dataset, turn raw text into TF-IDF vectors, train a Logistic Regression model, and evaluate with accuracy and a confusion matrix. Variables persist across cells — vectorize once, reuse everywhere.