What are some popular Python libraries for NLP?
Some popular Python libraries for NLP include NLTK, SpaCy, and Transformers. Would you like to know more about any of these?
Can you explain what NLTK is used for?
NLTK, or Natural Language Toolkit, is used for working with human language data. It provides tools for text processing, classification, tokenization, stemming, tagging, parsing, and more.
How does SpaCy differ from NLTK?
SpaCy is designed for production use and is faster and more efficient than NLTK. It also has a more user-friendly API and supports modern NLP tasks like named entity recognition.
What about the Transformers library?
The Transformers library by Hugging Face provides state-of-the-art pre-trained models for various NLP tasks, including text generation, translation, and sentiment analysis.
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