N-grams are contiguous sequences of 'n' items from a given sample of text or speech. They are used extensively in natural language processing for various tasks, including text classification, where they help identify patterns and features in the data by breaking down text into manageable parts. By analyzing n-grams, one can capture the context and structure of language, making them valuable for tasks such as sentiment analysis, topic modeling, and predictive text input.
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