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3 cards from this section. Quick, good the night before a test.
What does Bag of Words represent in text analysis?
Think about word counting.
What is the purpose of stop word removal?
Consider which words are unnecessary.
What does the BoW model focus on?
Consider what aspect of text BoW emphasizes.
Is tokenization an important part of creating a BoW model?
Think about how we extract words from text.
Create a Bag of Words vector for the following sentences: 'Cats are fun. Dogs are great. Cats are better than dogs.'
Count how many times each unique word appears.
Discuss the disadvantages of using the Bag of Words model for text analysis.
Consider what details BoW overlooks when analyzing text.
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