# Vector semantics and word embeddings

Subject: Natural Language Processing

Exam: TEE

Reader: https://deep-learning-study-room.vercel.app/nlp/#tee/read/u5-vectors

Canonical: https://deep-learning-study-room.vercel.app/read/nlp/tee/read-chapter/u5-vectors/

TEE · Unit 5 PDF pages 58–118

1. [Distributional hypothesis and a co-occurrence matrix](https://deep-learning-study-room.vercel.app/read/nlp/tee/read/u5-vectors--u5-distribution/)
2. [Sparse, dense, distributional and distributed](https://deep-learning-study-room.vercel.app/read/nlp/tee/read/u5-vectors--u5-representation/)
3. [Word2Vec: CBOW and skip-gram from training pairs](https://deep-learning-study-room.vercel.app/read/nlp/tee/read/u5-vectors--u5-word2vec/)
4. [Word analogies and sentence embeddings](https://deep-learning-study-room.vercel.app/read/nlp/tee/read/u5-vectors--u5-sentence/)