Data Science, Machine Learning, NLP, Word Embeddings, AI.
vocabulary by n, your feature size vectors also increase by length n. One-hot vector dimensionality is the same as number of words. There’s reasons why you don’t want your feature size to explode —namely, more features means more parameters to estimate, and you require exponentially more data to