Practice Term Frequency – Inverse Document Frequency (tf-idf) (9.4.2)

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6 sample questions

Question 1.
What does TF stand for?
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It's the first part of TF-IDF.
Question 2.
What does IDF measure?
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Think of the word 'Inverse' in IDF.
3Question 3.
What does TF-IDF measure?
- The frequency of a word
- Word importance in a document
- Document length
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Think about why we analyze text.
4Question 4.
True or False: High IDF suggests a term is common across documents.
- True
- False
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Focus on the meaning of 'Inverse'.
Question 5.
You have 5 documents and the term 'machine' appears in 3. Calculate its IDF and TF given it appears 4 times in a document of 200 words.
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Calculate IDF, then TF, and multiply them.
Question 6.
If a term appears in every document of a dataset and its TF is high, what does that imply about its IDF?
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Consider why commonality affects uniqueness.

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