spaCy is a modern NLP library designed for production use, offering fast and efficient tools for tasks like text processing, named entity recognition, and dependency parsing. 🚀
Key Features
- High Performance: Built with Cython for speed, handling large datasets with ease.
- Pre-trained Models: Ready-to-use models for English, German, Spanish, and more.
- Extensibility: Easy to customize and integrate with other machine learning frameworks.
- Large Community: Active support and resources for developers.
Getting Started
- Install via pip:
pip install spacy - Load a pre-trained model:
import spacy nlp = spacy.load("en_core_web_sm") - Process text:
doc = nlp("spaCy is a powerful NLP library!") for token in doc: print(token.text, token.pos_)
🔗 Explore spaCy's official documentation for advanced tutorials and API references.