What is the basic idea behind TF-IDF in Natural Language Processing?

Options

  • A. It measures the importance of a word in a document relative to a collection of documents
  • B. It converts speech directly into video
  • C. It is used only for image classification
  • D. It permanently removes every repeated word from a document
  • E. None of the above

Correct Answer (Detailed Explanation is Below)

A. It measures the importance of a word in a document relative to a collection of documents

Detailed Explanation

TF-IDF (Term Frequency-Inverse Document Frequency) is a numerical technique used to represent the importance of a word in a document. A word receives a higher importance when it occurs frequently in a particular document but is relatively uncommon across the complete collection of documents.

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