tf–idf

Term Frequency-Inverse Document Frequency, often abbreviated as TF-IDF, is a statistical method used in text mining and information retrieval systems. It quantifies the importance of a word in a document relative to its frequency in a larger document collection. The method involves two components: term frequency, which is the count of a word in a specific document, and inverse document frequency, which diminishes the weight of words that occur very frequently and increases the weight of words that occur rarely. This technique helps in identifying more meaningful words in a document.