Data Science, Machine Learning, NLP, Word Embeddings, AI.
process has generated a very sparse (mostly zero) feature vector for each input word (here, the terms “feature vector”, “embedding”, and “word representation” are used interchangeably). These one-hot vectors are a quick and easy way to represent words as vectors of real-valued numbers. Quick aside: