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5 cards from this section. Quick, good the night before a test.
What is tokenization in NLP?
Think about how we prepare text for analysis.
What are stopwords?
Consider words that are frequently used in English.
What is the first step in the NLP pipeline?
Think about how we clean text before we process it.
True or False: Stemming considers the context of a word when reducing it to its root form.
Think about how 'running' might be treated differently in stemming versus lemmatization.
Using an example, explain how stemming and lemmatization would differ on the word 'better'.
Consider which method looks at context.
Discuss in detail how TF-IDF could be applied to rank documents for a query. Provide a brief use case.
Think about the relationship between document relevance and terms.
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