Lisa Notes
Jun 20, 2026 · Artificial Intelligence
Understanding Distributional Semantics: How Word Meaning Is Captured by Context
The article explains distributional semantics in NLP, describing how the distributional hypothesis links word meaning to context, how co‑occurrence matrices are built from example sentences, why these matrices are large and sparse, and how SVD‑based LSA reduces them to dense word vectors.
NLPSVDco-occurrence matrix
0 likes · 5 min read