What is the main purpose of a "tokenizer" in Natural Language Processing?
- Converting text to speech
- Counting words
- Identifying emotions
- Splitting text into words
A "tokenizer" in NLP is used for 'splitting text into words or tokens.' It breaks down a piece of text into individual words or tokens, which is a fundamental step in many NLP tasks such as text analysis, language modeling, and more.
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