Glossary

Word Embeddings are a technique in NLP where words are encoded as vectors in a predefined space, capturing their semantic meaning. It ensures similar words have close vector counterparts.

Word2Vec is an innovative technique used in Natural Language Processing (NLP) to offer vector representations of words, enhancing semantic analysis.

The World Wide Web Consortium (W3C) is a vital global community, consistently working towards developing uniform standards for the World Wide Web.