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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is the first step in the NLP pipeline?
π‘ Hint: Think about where we start gathering information.
Question 2
Easy
Name a common technique in text preprocessing.
π‘ Hint: Consider what happens when we break text into smaller parts.
Practice 4 more questions and get performance evaluation
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?
π‘ 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.
π‘ Hint: Consider our need for improvement.
Solve 2 more questions and get performance evaluation
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.
π‘ 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.
π‘ Hint: Identify influencing factors that could cause low performance.
Challenge and get performance evaluation