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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is the primary focus of the Bag of Words model?
💡 Hint: Think about how the model treats words in a document.
Question 2
Easy
Name one advantage of TF-IDF over Bag of Words.
💡 Hint: Consider how it weights terms.
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
Which technique focuses on word frequency count and ignores word order?
- Bag of Words
- TF-IDF
- Word Embeddings
💡 Hint: Think of a simple counting approach.
Question 2
True or False: TF-IDF gives higher weights to common words across a document.
- True
- False
💡 Hint: Consider the meaning of 'inverse' in IDF.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Design a simple document similarity algorithm using Bag of Words and explain how you would implement it.
💡 Hint: Think about vector mathematics for similarity.
Question 2
Functionally assess the application of FastText in an NLP system that handles diverse languages - what are the pros and cons?
💡 Hint: Consider context and different language structures.
Challenge and get performance evaluation