Stemming, Naturallanguageprocessing, Artificial Intelligence, Word Embeddings, Machine Learning.
complexity. It remains constant no matter how many words we train on, unlike the Bag of Words model, for instance, where the size grows with the number of unique words. And, once we pre-train a large set of word vectors, we can use them efficiently without having to transform again and again, just