What is NLP tokenization?
NLP tokenization is the process of breaking down text into smaller units called tokens, which can be words, phrases, or symbols.
Why is tokenization important in natural language processing?
Tokenization is crucial because it helps in understanding the structure of the text, enabling further analysis like sentiment analysis or language modeling.
Can you give me an example of tokenization?
Sure! For the sentence 'I love AI!', tokenization would break it down into tokens: ['I', 'love', 'AI', '!'].
What are some common tokenization techniques?
Common techniques include whitespace tokenization, punctuation-based tokenization, and using libraries like NLTK or SpaCy for more advanced methods.
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