Practice NLP Pipeline - 9.3 | 9. Natural Language Processing (NLP) | Data Science Advance
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NLP Pipeline

9.3 - NLP Pipeline

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Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What is the first step in the NLP pipeline?

💡 Hint: Think about where we start gathering information.

Question 2 Easy

Name a common technique in text preprocessing.

💡 Hint: Consider what happens when we break text into smaller parts.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What is the second step in the NLP pipeline?

Feature Extraction
Text Preprocessing
Model Training

💡 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.

True
False

💡 Hint: Consider our need for improvement.

2 more questions available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Consider a dataset with noisy text data. Describe how you would approach the text preprocessing step. Include specific techniques you would employ.

💡 Hint: Think about steps that help streamline the dataset!

Challenge 2 Hard

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.

💡 Hint: Identify influencing factors that could cause low performance.

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