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