NLP Illustrated, Half 3: Word2Vec | by Shreya Rao | Jan, 2025

An exhaustive and illustrated information to Word2Vec with code!

Welcome to Half 3 of our illustrated journey by the thrilling world of Pure Language Processing! If you happen to caught Half 2, you’ll keep in mind that we chatted about phrase embeddings and why they’re so cool.

Phrase embeddings permit us to create maps of phrases that seize their nuances and complex relationships.

This text will break down the mathematics behind constructing phrase embeddings utilizing a method known as Word2Vec — a machine studying mannequin particularly designed to generate significant phrase embeddings.

Word2Vec provides two strategies — Skip-gram and CBOW — however we’ll give attention to how the Skip-gram technique works, because it’s probably the most extensively used.

These phrases and ideas may sound complicated proper now however don’t fear — at its core, it’s just a few intuitive math (and a sprinkle of machine studying magic).

Actual fast — earlier than diving into this text, I strongly encourage you to learn my collection on the fundamentals of machine