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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: Think about the meaning of each word in the acronym.
Question 2
Easy
Give an example of an entity that NER might identify.
💡 Hint: Consider common nouns you encounter.
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 goal of Named Entity Recognition?
- To translate languages
- To classify names in text
- To analyze sentiment
💡 Hint: Think about what NER stands for.
Question 2
True or False: NER can misclassify terms based on context.
- True
- False
💡 Hint: Reflect on examples like 'bat.'
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Design a scenario where NER could fail and explain how this could impact data analysis.
💡 Hint: Consider the language diversity in informal communication.
Question 2
Create a mini-project that implements NER on a specific dataset, ensuring to handle ambiguous terms. Describe your approach.
💡 Hint: Think of model enhancements or extra training data.
Challenge and get performance evaluation