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Related Questions
- What are the most common pitfalls that can lead to suboptimal tokenization in text data?
- How can inconsistent text formatting, such as varying whitespace or punctuation, affect tokenization?
- What is the impact of out-of-vocabulary words on tokenization, and how can they be handled?
- How can tokenization be improved when dealing with idiomatic expressions, colloquialisms, or domain-specific terminology?
- What role does part-of-speech tagging play in tokenization, and how can it be applied to improve accuracy?
- How can tokenization be optimized for specific use cases, such as sentiment analysis or named entity recognition?
- What are some best practices for pre-processing text data to ensure accurate and efficient tokenization?
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