Word Embeddings: Models and Applications

This lecture covers the concept of word embeddings, focusing on embedding models, such as CBOW and Skipgram, and their applications. It discusses obtaining negative samples, computing derivatives, and introduces Fasttext and Byte Pair Encoding. The lecture also explores Glove models, subword embeddings, and the use of word embeddings for document search, thesaurus construction, and document classification.