9 - Natural Language Processing (NLP)
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Practice Questions
Test your understanding with targeted questions
What is tokenization?
💡 Hint: Think about how we break a sentence into its individual components.
What does NLP stand for?
💡 Hint: Recall the full form based on the acronym.
4 more questions available
Interactive Quizzes
Quick quizzes to reinforce your learning
What does NLP enable machines to do?
💡 Hint: Remember the core goals of NLP.
True or False: Stemming ignores the context of words when reducing them.
💡 Hint: Think about how stemming differs from lemmatization.
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Challenge Problems
Push your limits with advanced challenges
You have a dataset of customer reviews. Outline an NLP pipeline you would use to classify these reviews as positive or negative.
💡 Hint: Consider each step carefully and how they add up to form a complete process.
Critique the limitations of the Bag of Words model compared to Word Embeddings.
💡 Hint: Focus on how each model approaches complex meanings differently.
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Reference links
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