What is the primary goal of tokenization in NLP?
- Removing stop words
- Splitting text into words
- Extracting named entities
- Translating text to other languages
The primary goal of tokenization in NLP is to split text into words or tokens. This process is essential for various NLP tasks such as text analysis, language modeling, and information retrieval. Tokenization helps in breaking down text into meaningful units for analysis.
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