In the following code snippet, how many bigrams will be generated when using CountVectorizer with ngram_range=(2, 2)? from sklearn.feature_extraction.text import CountVectorizer documents = [ "The quick brown fox", "jumps over the lazy dog" ] vectorizer = CountVectorizer(ngram_range=(2, 2)) X = vectorizer.fit_transform(documents) bigrams = vectorizer.vocabulary_ print(f"Number of bigrams: {len(bigrams)}") Enter your answer (number of bigrams):

Machine Learning Practice · Quiz 2 · 1 Dec 2024 · September 2024 term

Question 20: In the following code snippet, how many bigrams will be …

Question 20

+3 marksNumerical answer

In the following code snippet, how many bigrams will be generated when using CountVectorizer with ngram_range=(2, 2)?

python

1from sklearn.feature_extraction.text import CountVectorizer
2
3documents = [
4    "The quick brown fox",
5    "jumps over the lazy dog"
6]
7
8vectorizer = CountVectorizer(ngram_range=(2, 2))
9X = vectorizer.fit_transform(documents)
10bigrams = vectorizer.vocabulary_
11
12print(f"Number of bigrams: {len(bigrams)}")

Enter your answer (number of bigrams):

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Correct answer: 7

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Question 20 of 21 in the IIT Madras BS Machine Learning Practice (MLP) Quiz 2 paper sat on 1 Dec 2024, in the September 2024 term (IIT M DIPLOMA AN EXAM QDD2 01 Dec 2024). It carries 3 marks.

Question 20: In the following code snippet, how many bigrams will be …

Question 20

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