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Text Classification using Naive Bayes Project
Text Classification using Naive Bayes Project Quiz
Question 1
What is the primary application of Naïve Bayes in text classification?
Image recognition
Speech processing
Spam detection
Stock price prediction
Question 2
Which variant of Naïve Bayes is most suitable for text classification?
Gaussian Naive Bayes
Multinomial Naive Bayes
Bernoulli Naive Bayes
Both B and C
Question 3
What preprocessing step is commonly used before applying Naïve Bayes to text data?
Feature scaling
Tokenization
Principal Component Analysis
Image augmentation
Question 4
Why is Naïve Bayes effective for text classification despite its independence assumption?
Text features are always independent
Works well even if the independence assumption is not fully met
Uses deep learning techniques
It does not assume independence in text classification
Question 5
Which of the following is a limitation of using Naïve Bayes for text classification?
High computational cost
Requires a large training dataset
Assumes all words contribute equally to classification
Cannot handle text data
Question 6
Which technique is used to convert text data into numerical features for Naïve Bayes classification?
Bag-of-Words (BoW)
Convolutional Neural Networks (CNN)
Fourier Transform
Decision Trees
There are 6 questions to complete.
