Practice Natural Language Processing (NLP) - 1.2.6 | 1. Introduction to Advanced Data Science | Data Science Advance
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Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What does NLP stand for?

💡 Hint: Think about the interaction between computers and languages.

Question 2

Easy

Name one technique used in NLP.

💡 Hint: Consider what NLP can do with text data.

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 purpose of NLP?

  • Understanding human language
  • Generating numerical data
  • Creating images

💡 Hint: Think about what NLP stands for.

Question 2

True or False: Sentiment Analysis can determine if a text is positive or negative.

  • True
  • False

💡 Hint: Think about customer reviews and feedback.

Solve 2 more questions and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Create a sentiment analysis model using Twitter data. Describe how you'd preprocess the text and the metrics you'd use to evaluate its accuracy.

💡 Hint: Consider what raw Twitter data looks like before analysis.

Question 2

Explain how transformers like BERT can be applied in real-time chat applications to enhance user interaction.

💡 Hint: Think about how chatbots understand and respond to users.

Challenge and get performance evaluation