Tf–idf
Estimate of the importance of a word in a document
Why this is trending
Interest in “Tf–idf” spiked on Wikipedia on 2026-02-28.
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Key Takeaways
- In information retrieval, tf–idf is a measure of importance of a word to a document in a collection or corpus, adjusted for the fact that some words appear more frequently in general.
- It is a refinement over the simple bag-of-words model, by allowing the weight of words to depend on the rest of the corpus.
In information retrieval, tf–idf is a measure of importance of a word to a document in a collection or corpus, adjusted for the fact that some words appear more frequently in general. Like the bag-of-words model, it models a document as a multiset of words, without word order. It is a refinement over the simple bag-of-words model, by allowing the weight of words to depend on the rest of the corpus.
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