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

Practice - Statistical Methods

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Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What does 'statistical methods' refer to in NLP?

💡 Hint: Think about how numbers help in understanding text.

Question 2 Easy

Give an example of a statistical method in NLP.

💡 Hint: Consider a method used in spam detection.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

Statistical methods in NLP primarily rely on:

A. Manual coding
B. Large datasets
C. Hardcoded rules

💡 Hint: Think about what statistical analysis requires.

Question 2

True or False: Naive Bayes assumes independence between features.

True
False

💡 Hint: Consider the assumptions behind statistical classifiers.

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Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

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.

💡 Hint: Focus on feature selection and thresholds.

Challenge 2 Hard

Compare the effectiveness of Naive Bayes against another method like Logistic Regression on a specific NLP task.

💡 Hint: Consider advantages in computational efficiency and simplicity.

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