What are some examples of tokenization in machine learning?
An example of an AI chatbot conversation about tokenization in machine learning.
What are some examples of tokenization in machine learning?
Tokenization is the process of breaking text into smaller units, like words or phrases. Examples include splitting sentences into words for NLP tasks.
Can you give me a specific example of how tokenization is used in sentiment analysis?
Sure! In sentiment analysis, tokenization helps convert customer reviews into individual words or phrases, allowing models to analyze sentiment based on word choice.
What tools can I use for tokenization?
Popular tools for tokenization include NLTK, SpaCy, and Hugging Face's Transformers library, which provide built-in tokenization functions.
How does tokenization affect the performance of machine learning models?
Tokenization can significantly impact model performance by determining how well the model understands context and meaning in the text.
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