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3 cards from this section. Quick, good the night before a test.
What is tokenization in NLP?
Think about how sentences can be split into words.
Name a common stop word.
These words are used often but do not add significant meaning.
What is the primary purpose of tokenization in NLP?
Think about the first step in analyzing a sentence.
True or False: Lemmatization involved stripping suffixes to get to the root word.
Focus on understanding the differences in techniques.
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.
Think about how each method affects the text.
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?
Consider the impact of removing only certain types of words.
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