Practice Types of NLP Tasks - 9.2 | 9. Natural Language Processing (NLP) | Data Science Advance
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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