If a document collection contains 1000 documents and each document is represented using TF-IDF vectors with a vocabulary size of 5000 words, what is the dimensionality of the TF-IDF vectors?Question 7Answera.5000b.1000c.2500d.500

Given a vocabulary of 500 words, if a document is represented using a Bag of Words (BoW) model, what is the dimensionality of the document vector?Question 28Answera.500b.501c.It depends on the length of the documentd.1000

Consider a term that appears 15 times in a document of 500 words. In a collection of 1000 documents, this term appears in 200 documents. What is the TF-IDF score for this term?Answer choicesSelect only one optionREVISIT0.10.02090.20.209

How is dimensionality defined in a "bag of words" document representation?Number of unique terms in the documentAverage number of words per sentence in the documentTotal number of words in the documentFrequency of repeated words in the document

Question 201 MarkREVISITIn a document collection consisting of 500 documents, a term appears 50 times in a specific document that contains 1000 words. If this term appears in 100 out of the total 500 documents, what is its TF-IDF score?Answer choicesSelect only one option0.20.3490.03490.319

15.What is the TF-IDF score of a term that appears 10 times in a document of 100 words, and appears in 20 out of a total of 100 documents?  A. 0.5  B. 1  C. 1.5  D. 2