Word2Vec
Domain: NLP Fundamentals
🎯 Motivation
Learns word embeddings by predicting words from context. Similar words end up with similar vectors.
📋 Concrete Example
After training, vector(king) - vector(man) + vector(woman) is close to vector(queen). Famous word analogy.
🔗 Analogy
Like a GPS for meaning - words that mean similar things end up close together on the map.