Practice Named Entity Recognition (NER) - 9.2.3 | 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 does NER stand for?

💡 Hint: Look for the acronym in the term.

Question 2

Easy

Name a type of entity recognized by NER.

💡 Hint: Think of names or specific data points commonly found in texts.

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 function of Named Entity Recognition?

  • Translate text
  • Identify and classify named entities
  • Generate text

💡 Hint: Focus on what the title suggests.

Question 2

True or False: NER only identifies organizations and locations.

  • True
  • False

💡 Hint: Think about all the types mentioned.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Given a piece of text, conduct an NER analysis to extract and classify all named entities. Discuss the methodology used.

💡 Hint: Outline the usage of NER tools.

Question 2

Evaluate the potential ethical implications of using NER in sensitive sectors like healthcare or legal systems.

💡 Hint: Consider potential biases in data processing and the responsible usage of extracted information.

Challenge and get performance evaluation