What: Dense vector representations of words capturing semantic meaning
Properties: Similar words close in vector space • king - man + woman ≈ queen
Dimensions: Typically 100-300 dimensions reduced to 2D/3D for visualization
Uses: NLP tasks • Semantic search • Recommendation • Translation