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5 cards from this section. Quick, good the night before a test.
What is tokenization?
What do we do to make text easier to analyze?
Give an example of a stop-word.
What are some common words that we often remove in analysis?
What does tokenization accomplish?
Think about what helps us to analyze sentences.
True or False: Stop-words are always removed from all textual data.
Think about literature and forms of expression.
Given the sentence: 'The quick brown fox jumps over the lazy dog.' tokenize it and identify the stop-words.
Look for common words that don’t add meaning.
In what scenarios might lemmatization be more beneficial than stemming? Provide at least two examples.
Consider tasks where word meaning is crucial.
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