Inverse Document Frequency
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Tf–idf, term frequency–inverse document frequency, is a numerical statistic which reflects how important a word is to a document in a collection or Text corpus|corpus. It is often used as a weighting factor in information retrieval and text mining. The tf-idf value increases Proportionality (mathematics)|proportionally to the number of times a word appears in the document, but is offset by the frequency of the word in the corpus, which helps to control for the fact that some words are generally more common than others. Variations of the tf–idf weighting scheme are often used by search engines as a central tool in scoring and ranking a document's Relevance (information retrieval)|relevance given a user Information retrieval|query. tf–idf can be successfully used for stop-words filtering in various subject fields including automatic summarization|text summarization and classification. One of the simplest ranking functions is computed by summing the tf–idf for each query term; many more s...
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