Data Science, Machine Learning, NLP, Transformers, Word Embeddings.
language processing (NLP) where words or phrases from the vocabulary are mapped to vectors of real numbers. One-hot or CountVectorizing The most basic method for transforming words into vectors is to count occurrence of each word in each document. Such approach is called countvectorizing or one-hot