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4 cards from this section. Quick, good the night before a test.
What is tokenization?
Think about how you could break a sentence into words.
Give an example of stemming.
Consider how a word is changed to its root form.
What does NLTK stand for?
Think about the components involved in natural language processing.
True or False: NLTK is only useful for tokenization.
Recall the multiple functionalities of NLTK.
Using NLTK, describe a method to perform sentiment analysis on a provided text. Include steps for implementation.
Consider how word choice affects sentiment.
Discuss how parsing can be advantageous in understanding complex sentences and provide an example using NLTK.
Think about how grammatical structure informs meaning.
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