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5 cards from this section. Quick, good the night before a test.
What is text processing?
Think about the steps involved before analyzing text.
List one purpose of tokenization.
Consider what parts of text are being extracted.
What is the main goal of text processing?
Consider what you're doing with raw text data.
True or False: Tokenization breaks down text into characters.
Think about how you would handle sentences or phrases.
Create a small text preprocessing pipeline for a sentence: 'The quick brown Fox jumps over the lazy dog!' Include removal of stop words, tokenization, and stemming.
Consider how each step alters or simplifies the original text.
Discuss how tokenization differs when applied to structured text like tables versus freeform text like chat logs.
Think about the structure of different text types and how they affect breaking down text.
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