word embedding

In machine learning word embedding refers to a method in natural language processing (NLP) which converts words into numerical vectors. The numerical vectors generally represent the words’ meaning, usage or context. The following word embedding methods are the most common: One-hot encoding assigns a unique binary vector to each word in a vocabulary. The vector … Read more