Unlocking Language's Hidden Power: Word Embedding Explained

Word embedding is like a language superpower for computers. It helps machines understand words by representing them as numbers. Each word becomes a unique set of numbers, capturing its meaning and relationships with other words. This makes it easier for computers to work with text and understand context. Word embeddings are essential in tasks like language translation, sentiment analysis, and text classification, making machines smarter in understanding and processing human language.

For your reference : https://pytorch.org/tutorials/beginner/nlp/word_embeddings_tutorial.html