How does tokenization work?
An example of an AI chatbot conversation about how tokenization processes text into manageable pieces.
Can you explain how tokenization works in natural language processing?
Sure! Tokenization is the process of breaking down text into smaller units called tokens, which can be words, phrases, or symbols.
Why is tokenization important for understanding text?
Tokenization is crucial because it helps in analyzing and processing text data, making it easier for algorithms to understand and manipulate.
What are some common methods of tokenization?
Common methods include whitespace tokenization, punctuation-based tokenization, and using libraries like NLTK or spaCy for more complex tokenization.
Can you give an example of tokenization in action?
Absolutely! For the sentence 'I love AI!', tokenization would break it down into tokens: ['I', 'love', 'AI', '!'].
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