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4 cards from this section. Quick, good the night before a test.
What is tokenization?
Think about how we can segment text.
Name two common stopwords.
These words are often used but don't add significant meaning.
What is the primary goal of tokenization in NLP?
Think about how we cut text into parts for easier handling.
True or False: Stopword removal is not necessary for effective text analysis.
Consider the impact of common words on your analysis.
Write a short paragraph and perform text preprocessing on it by tokenizing, removing stopwords, and applying stemming.
Remember to identify what you consider as stopwords.
Provide an original example of a sentence analyzing how stemming and lemmatization affect meaning and structure.
Consider the contextual implications of reducing words in each method.
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