Practice Tokenization (24.3.1) - Natural Language Processing (NLP) and Its Importance in the Field of Artificial Intelligence (AI)
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Tokenization

Practice - Tokenization

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Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What is the process of breaking a sentence into smaller units called?

💡 Hint: It's the first step in many NLP tasks.

Question 2 Easy

Name one type of token.

💡 Hint: Think about the basic components of a sentence.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What does the process of tokenization involve?

Breaking text into paragraphs
Breaking text into tokens
Breaking tokens into text

💡 Hint: Think about the definition of tokenization.

Question 2

True or False: Tokenization can only produce words as tokens.

True
False

💡 Hint: Remember, tokens can vary in what they represent.

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Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Given the sentence 'Natural Language Processing enables machines to understand.' create different tokenization outputs based on diverse tokenization techniques.

💡 Hint: Think about how punctuation may affect tokenization.

Challenge 2 Hard

Consider a case where tokenization is done incorrectly. How would that impact the analysis of user sentiment in product reviews?

💡 Hint: Reflect on how important context is in understanding language.

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