NLP

Working with text — from TF-IDF, which still earns its place, through to embeddings.

3 articles, newest first.

• NLP · Jun 29, 2026 · 5 min TF-IDF still works, and it should be your first NLP model Before reaching for a transformer: a TF-IDF plus linear classifier baseline trains in seconds, explains itself, and is embarrassingly hard to beat on many text tasks.
• NLP · May 14, 2026 · 3 min Embeddings, explained for people who ship things What embedding vectors actually are, what they are good for besides chatbots, and the operational details — normalisation, chunking, drift — that tutorials skip.
• Neural networks · Part 24 of 33 · 7 min What word embeddings really are Why representing words as IDs fails, how counting the company a word keeps turns language into geometry, and what the famous king-minus-man analogy does and does not prove.