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What is text tokenization?
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Can someone clearly and in simple language explain what text tokenization in machine learning is and how it is applied in practice
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tokenization - splitting text into words (and non-words, those punctuation marks, paragraph boundaries, etc.). Its usefulness in machine learning is a direct message to the grid of the fact that a person (whose actions it needs to be taught to imitate) perceives the text as a stream of words, not a stream of letters.
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