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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is the primary goal of modelling in NLP?
💡 Hint: Think about why we need data and algorithms.
Question 2
Easy
Name one task that uses modelling.
💡 Hint: Consider NLP applications that categorize or analyze text.
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 does 'modelling' in NLP refer to?
- Data cleaning
- Using algorithms to train models
- Feature extraction
💡 Hint: Think of what comes after data is prepared.
Question 2
True or false: Sentiment analysis is one of the tasks performed during the modelling phase in NLP.
- True
- False
💡 Hint: Recall the tasks discussed previously.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Consider a scenario where you have a dataset of tweets labeled as 'positive', 'negative', or 'neutral'. Describe the steps you would take to build a sentiment analysis model.
💡 Hint: Think about the standard NLP steps we've covered.
Question 2
You are tasked to design a text classification application for product reviews. What features would you consider extracting and why?
💡 Hint: Reflect on the different feature extraction techniques we've discussed.
Challenge and get performance evaluation