In the context of natural language processing (NLP), what does “TF-IDF” stand for?

Text Feature-Inclusion Data Feature
Term Frequency-Information Density
Term Frequency-Inverse Document Frequency
Text Filter-Document Finder

The correct answer is C. Term Frequency-Inverse Document Frequency.

TF-IDF is a statistical measure that is used to evaluate the importance of a word in a document. It is calculated by multiplying the frequency of a word in a document by the inverse of the frequency of the word in the corpus.

TF-IDF is often used in natural language processing tasks such as text classification, information retrieval, and machine translation.

A. Text Feature-Inclusion Data Feature is incorrect. This is not a valid acronym for TF-IDF.

B. Term Frequency-Information Density is incorrect. This is not a valid

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acronym for TF-IDF.

D. Text Filter-Document Finder is incorrect. This is not a valid acronym for TF-IDF.

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