In the context of NLP, what does "tokenization" refer to?

  • Breaking down a text into words, phrases, symbols, or other meaningful elements (tokens).
  • Compressing a text to reduce its size.
  • Converting a text into a numeric representation.
  • Encrypting a text for secure transmission.
Tokenization in NLP refers to the process of breaking down a text into its individual components, such as words or phrases, to facilitate analysis. This step is essential for various NLP tasks like text classification and language modeling.
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