Practice Named Entity Recognition (NER) - 9.2.3 | 9. Natural Language Processing (NLP) | Data Science Advance
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Named Entity Recognition (NER)

9.2.3 - Named Entity Recognition (NER)

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Learning

Practice Questions

Test your understanding with targeted questions

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.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

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.

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

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.

Challenge 2 Hard

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.

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