Practice NLP Pipeline Overview - 1 | Natural Language Processing (NLP) in Depth | Artificial Intelligence Advance
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Knowledge

1 - NLP Pipeline Overview

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Learning

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What is tokenization in NLP?

💡 Hint: Think about how we prepare text for analysis.

Question 2

Easy

What are stopwords?

💡 Hint: Consider words that are frequently used in English.

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 first step in the NLP pipeline?

  • Vectorization
  • Text Preprocessing
  • Modeling

💡 Hint: Think about how we clean text before we process it.

Question 2

True or False: Stemming considers the context of a word when reducing it to its root form.

  • True
  • False

💡 Hint: Think about how 'running' might be treated differently in stemming versus lemmatization.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Using an example, explain how stemming and lemmatization would differ on the word 'better'.

💡 Hint: Consider which method looks at context.

Question 2

Discuss in detail how TF-IDF could be applied to rank documents for a query. Provide a brief use case.

💡 Hint: Think about the relationship between document relevance and terms.

Challenge and get performance evaluation