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
288 448 288 448s170.8 0 213.4-11.5c23.5-6.3 42-24.2 48.3-47.8 11.4-42.9 11.4-132.3 11.4-132.3s0-89.4-11.4-132.3zm-317.5 213.5V175.2l142.7 81.2-142.7 81.2z"/> Subscribe on YouTube