What is tf-idf?
You want to calculate the tf-idf weight for the word "computer", which appears five times in a document containing 100 words. Given a corpus containing 200 documents, with 20 documents mentioning the word "computer", tf-idf can be calculated by multiplying term frequency with inverse document frequency.
Term frequency = percentage share of the word compared to all tokens in the document Inverse document frequency = logarithm of the total number of documents in a corpora divided by the number of documents containing the term
Which of the below options is correct?
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Introduction to Natural Language Processing in Python
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