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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is tokenization in NLP?
💡 Hint: Think about how sentences can be split into words.
Question 2
Easy
Name a common stop word.
💡 Hint: These words are used often but do not add significant meaning.
Practice 4 more questions and get performance evaluation
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What is the primary purpose of tokenization in NLP?
💡 Hint: Think about the first step in analyzing a sentence.
Question 2
True or False: Lemmatization involved stripping suffixes to get to the root word.
💡 Hint: Focus on understanding the differences in techniques.
Solve 2 more questions and get performance evaluation
Push your limits with challenges.
Question 1
Imagine you have the text: 'He loves playing the guitar in the park.' Describe the steps of preprocessing this text and where each method is applied.
💡 Hint: Think about how each method affects the text.
Question 2
Critique the following sentence preprocessing: 'The quick brown fox jumps over the lazy dog.' If the stop word removal only kept nouns, what would the result be?
💡 Hint: Consider the impact of removing only certain types of words.
Challenge and get performance evaluation