TF-IDF (Term Frequency-Inverse Document Frequency) is a numerical statistic used in NLP to reflect the importance of a word in a document. It takes into account both the frequency of a word in the document and the inverse document frequency across a corpus. TF-IDF is commonly used for word weighting in information retrieval, text mining, and text classification.