Recommender Systems with Machine Learning - tf-idf (Term Frequency-Inverse Document Frequency) Matrix

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Information Technology (IT), Architecture, Mathematics
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University
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Hard
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10 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the primary purpose of TF-IDF in information retrieval?
To enhance document search and retrieval
To perform document classification
To generate random text
To create a similarity matrix
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which library provides the TF-IDF vectorizer in Python?
Pandas
Matplotlib
NumPy
SK Learn
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How is the genre 'sci-fi' preprocessed in the text data?
By replacing the dash with a space
By removing the word 'sci'
By converting it to uppercase
By removing the dash
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the role of stop words in creating a TF-IDF vector?
To include all words in the analysis
To highlight important words
To increase the size of the matrix
To exclude common words from the analysis
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What does the shape of the TF-IDF matrix represent?
The number of unique words and their frequency
The number of rows and columns in the dataset
The number of words and documents
The number of genres and movies
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How is the density of the TF-IDF matrix useful?
It shows the frequency of each word
It indicates the sparsity of the matrix
It helps in visualizing the data
It determines the number of genres
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which of the following is NOT a feature name in the TF-IDF vector?
Adventure
Horror
Drama
Action
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