Practice Spam Detection - 11.6.5 | 11. Natural Language Processing (NLP) | CBSE Class 12th AI (Artificial Intelligence)
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Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What is spam?

💡 Hint: Think of what you receive in your inbox that's not relevant.

Question 2

Easy

What is keyword detection?

💡 Hint: It involves certain words that make an email likely to be spam.

Practice 4 more questions and get performance evaluation

Interactive Quizzes

Engage in quick quizzes to reinforce what you've learned and check your comprehension.

Question 1

What is the primary goal of spam detection?

  • To identify and remove unwanted emails
  • To sort important emails
  • To create more spam

💡 Hint: Think about the purpose of having spam filters.

Question 2

True or False: Pattern detection focuses solely on specific words found in spam.

  • True
  • False

💡 Hint: Consider the broader indicators of spam.

Solve 2 more questions and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Design a spam filter algorithm using a combination of keyword and pattern detection techniques. Explain how it would adapt to new spam tactics.

💡 Hint: Think about how to incorporate machine learning aspects.

Question 2

Evaluate the effectiveness of machine learning models over traditional rule-based methods in spam detection. Discuss potential drawbacks.

💡 Hint: Compare flexibility with stability in your evaluation.

Challenge and get performance evaluation