Practice - Vectorization
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Practice Questions
Test your understanding with targeted questions
What does vectorization do in NLP?
💡 Hint: Think about how computers understand language.
Name one method of vectorization.
💡 Hint: It's a way to assess word importance.
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Interactive Quizzes
Quick quizzes to reinforce your learning
What is the purpose of vectorization in NLP?
💡 Hint: Think about how computers process data.
TF-IDF emphasizes common words in documents.
💡 Hint: Consider the purpose of TF-IDF.
3 more questions available
Challenge Problems
Push your limits with advanced challenges
Consider a document set containing a lot of reviews for different products. How might you use TF-IDF to prioritize key features highlighted in the reviews?
💡 Hint: Focus on words that appear frequently in certain documents but are rare across the entire set.
Design a small experiment comparing the effectiveness of Word2Vec and GloVe embeddings in a sentiment analysis task. What factors would you consider?
💡 Hint: Think about how word meanings could affect sentiment classification.
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