9: Term Frequency-Inverse Document Frequency - Deepstash

9: Term Frequency-Inverse Document Frequency

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 aandthe, and it) predominate.

TF-IDF is a powerful and popular method for initial filtering passes in Natural Language Processing frameworks.

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