What is Word Embedding in AI?
Word Embedding is a technique used to represent words or text documents in a numerical vector space, where words with similar meanings are closer together. Word embeddings capture semantic relationships and context of words, enabling
machine learning models to process and understand natural language. Popular word embedding algorithms include Word2Vec, GloVe, and FastText.
