What are the best practices for tokenization in NLP?
An example of an AI chatbot conversation about tokenization best practices in NLP.
What are the best practices for tokenization in NLP?
Best practices for tokenization include using consistent rules, handling punctuation carefully, and considering language-specific nuances.
Can you explain why handling punctuation is important?
Handling punctuation is crucial because it can change the meaning of sentences. For example, 'Let's eat, Grandma!' vs. 'Let's eat Grandma!'.
What tools can I use for tokenization?
Popular tools for tokenization include NLTK, SpaCy, and the Hugging Face Transformers library.
Are there any common mistakes to avoid?
Yes, common mistakes include inconsistent tokenization rules and not accounting for special characters or emojis.
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