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Questions and Answers
What is the objective of text preprocessing in NLP?
What is the objective of text preprocessing in NLP?
- To complicate the cleaning and harmonization of the text
- To introduce sparsity in the text
- To increase language fluctuations in the text
- To prepare the tokens for being processed in the next steps (correct)
Which of the following is an example of text normalization?
Which of the following is an example of text normalization?
- Reducing all letters to lower case
- Changing the word 'anti-discriminatory' to 'discriminatory'
- Converting 'U.S.A.' to 'United States of America'
- Transforming 'Tuebingen' to 'Tuebingen' (correct)
What does case folding aim to achieve in text preprocessing?
What does case folding aim to achieve in text preprocessing?
- To make all letters uppercase for clarity
- To increase ambiguity in the text
- To reduce all letters to lower case (correct)
- To emphasize proper nouns
Why is text normalization important in NLP?
Why is text normalization important in NLP?
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What is the purpose of segmenting text in NLP preprocessing?
What is the purpose of segmenting text in NLP preprocessing?
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