Tokenisation in NLP splits text into the smallest meaningful units (words, sentences, subwords), ensuring that text is processed in linguistically valid chunks. Precise tokenisation supports accurate text analysis, word embeddings, sentiment parsing, and successful downstream language tasks.
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