TF-IDF Simplified

Term Frequency-Inverse Document Frequency (TF-IDF) is a statistical measure used in Natural Language Processing (NLP) and machine learning to assess the importance of a word within a document relative to a larger collection of documents (corpus). It helps convert text data into numerical representations, making it useful for applications like text classification, document clustering, and information retrieval.