Term Frequency (TF) divides the number of times a word appears in a document by the total number of words in that document. Thus the word seal appearing once in a thousand-word article has a term frequency of 0.001. By itself, TF is largely useless as an indicator of term importance, due to the fact that meaningless articles (such as a, and, the, and it) predominate.
TF-IDF is a powerful and popular method for initial filtering passes in Natural Language Processing frameworks.
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