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Related Questions
- How do supervised and unsupervised learning differ in the context of NLP?
- Can you explain the role of labeled data in supervised learning for NLP tasks?
- What are some examples of supervised learning tasks in NLP, such as text classification or sentiment analysis?
- How does unsupervised learning work in NLP, and what are some common applications?
- What are some key differences between supervised and unsupervised learning in terms of model complexity and interpretability?
- Can you provide examples of NLP tasks that are more suitable for unsupervised learning, such as topic modeling or clustering?
- How can we evaluate the performance of unsupervised learning models in NLP, and what are some common metrics used?
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