Practice Nlp With Machine Learning (9.5) - Natural Language Processing (NLP)

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9 questions

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6 questions · about 4 min · pass mark 70%. Hints available.
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3 questions · about 2 min · pass mark 70%. Hints available.
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6 sample questions

Question 1.
What is Naive Bayes primarily used for?
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Think about where you would categorize emails.
Question 2.
What does SVM stand for?
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It is concerned with separating classes in a dataset.
3Question 3.
What is the main advantage of Naive Bayes?
- A: It handles high-dimensional data
- B: It provides the best accuracy
- C: It's easy to implement and requires less computation
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Consider its efficient computation with multiple features.
4Question 4.
True or False: Decision Trees can handle imbalanced datasets naturally.
- True
- False
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Think about how classes are represented in the hierarchy of trees.
Question 5.
Create a comparative analysis of using Naive Bayes versus SVM for text classification on social media data.
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Consider dataset properties and feature correlations.
Question 6.
Illustrate how you can handle an imbalanced dataset when using Decision Trees in NLP tasks.
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Think about the distribution of your classes.

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