Practice NLP Pipeline - 9.3 | 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 the first step in the NLP pipeline?

💡 Hint: Think about where we start gathering information.

Question 2

Easy

Name a common technique in text preprocessing.

💡 Hint: Consider what happens when we break text into smaller parts.

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 second step in the NLP pipeline?

  • Feature Extraction
  • Text Preprocessing
  • Model Training

💡 Hint: Think about what we do with the data right after we collect it.

Question 2

True or False: Model Tuning is unnecessary if the model performs well initially.

  • True
  • False

💡 Hint: Consider our need for improvement.

Solve 2 more questions and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Consider a dataset with noisy text data. Describe how you would approach the text preprocessing step. Include specific techniques you would employ.

💡 Hint: Think about steps that help streamline the dataset!

Question 2

Imagine you trained an NLP model and it achieved low accuracy. Outline how you would evaluate the model and what steps you might take to improve its performance.

💡 Hint: Identify influencing factors that could cause low performance.

Challenge and get performance evaluation