Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is tokenization?
π‘ Hint: Think about how we can segment text.
Question 2
Easy
Name two common stopwords.
π‘ Hint: These words are often used but don't add significant meaning.
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Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What is the primary goal of tokenization in NLP?
π‘ Hint: Think about how we cut text into parts for easier handling.
Question 2
True or False: Stopword removal is not necessary for effective text analysis.
π‘ Hint: Consider the impact of common words on your analysis.
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Push your limits with challenges.
Question 1
Write a short paragraph and perform text preprocessing on it by tokenizing, removing stopwords, and applying stemming.
π‘ Hint: Remember to identify what you consider as stopwords.
Question 2
Provide an original example of a sentence analyzing how stemming and lemmatization affect meaning and structure.
π‘ Hint: Consider the contextual implications of reducing words in each method.
Challenge and get performance evaluation