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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is tokenization?
💡 Hint: Think about breaking sentences into words.
Question 2
Easy
Why do we remove stop-words?
💡 Hint: Which words do we often see that don't add meaning?
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 text preprocessing?
- To enhance readability
- To prepare text for analysis
- To translate languages
💡 Hint: Think about the steps necessary to ready text.
Question 2
True or False: Stemming considers the context of a word.
- True
- False
💡 Hint: What does lemmatization do differently?
Solve 2 more questions and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Design a pipeline for processing a set of tweets for sentiment analysis. Identify each NLP task involved.
💡 Hint: What tasks prepare your tweets for analysis?
Question 2
Illustrate how NER could be applied in an online news aggregator. What entities should be recognized?
💡 Hint: Think about what information needs highlighting in news articles.
Challenge and get performance evaluation