Practice Nlp Pipeline (9.3) - Natural Language Processing (NLP) - Data Science Advance

Practice: NLP Pipeline

Lesson 9.3Natural Language Processing (NLP)

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10 questions

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Exercise
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Quiz
4 questions · about 3 min · pass mark 70%. Hints available.
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6 sample questions

Question 1.
What is the first step in the NLP pipeline?
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Think about where we start gathering information.
Question 2.
Name a common technique in text preprocessing.
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Consider what happens when we break text into smaller parts.
3Question 3.
What is the second step in the NLP pipeline?
- Feature Extraction
- Text Preprocessing
- Model Training
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Think about what we do with the data right after we collect it.
4Question 4.
True or False: Model Tuning is unnecessary if the model performs well initially.
- True
- False
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Consider our need for improvement.
Question 5.
Consider a dataset with noisy text data. Describe how you would approach the text preprocessing step. Include specific techniques you would employ.
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Think about steps that help streamline the dataset!
Question 6.
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.
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Identify influencing factors that could cause low performance.

6 more questions in this section. Enroll free to practise them all.