Practice Statistical Methods (11.5.2) - Natural Language Processing (NLP)

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8 questions

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6 sample questions

Question 1.
What does 'statistical methods' refer to in NLP?
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Think about how numbers help in understanding text.
Question 2.
Give an example of a statistical method in NLP.
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Consider a method used in spam detection.
3Question 3.
Statistical methods in NLP primarily rely on:
- A. Manual coding
- B. Large datasets
- C. Hardcoded rules
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Think about what statistical analysis requires.
4Question 4.
True or False: Naive Bayes assumes independence between features.
- True
- False
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Consider the assumptions behind statistical classifiers.
Question 5.
Analyze a dataset of emails and implement a Naive Bayes classifier to classify them into spam and non-spam. Discuss the performance and challenges encountered.
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Focus on feature selection and thresholds.
Question 6.
Compare the effectiveness of Naive Bayes against another method like Logistic Regression on a specific NLP task.
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Consider advantages in computational efficiency and simplicity.

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