What is Natural Language Processing? Introduction to NLP
We also considered some tradeoffs between interpretability, speed and memory usage. Further, since there is no vocabulary, vectorization with a mathematical hash function doesn’t require any storage overhead for the vocabulary. The absence of a vocabulary means there are no constraints to parallelization and the corpus can therefore be divided between any number nlp algorithms …
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