Your question is Explain TF-IDF for Text Features. Take a moment with it on the right.
Talk me through your thinking if you like. When you're confident, submit your answer and I'll grade it like a real screen (7/10 or better passes).
You are working with a text pipeline where raw documents need to be turned into numeric features for search, clustering, or classification. The input is plain text with common words, repeated terms, and documents of uneven length. You want a simple way to score terms by how distinctive they are across the corpus.
What is TF-IDF, and where is it useful?