spaCy is an open-source natural language processing (NLP) library for Python, designed for production use. It provides fast and efficient tools for tasks like tokenization, part-of-speech tagging, named entity recognition, and dependency parsing.
Key Features
- 🚀 High-performance: Built with Cython for speed, handling large datasets with ease.
- 📚 Pre-trained models: Includes models for English, German, Spanish, and more.
- 🧠 Easy to use: Simple API for pipeline customization and model training.
- 🌐 Multilingual support: Extendable to other languages via additional components.
Use Cases
- 📝 Text analysis: Sentiment analysis, text classification, and topic modeling.
- 🤖 Chatbots: Integration with machine learning models for intent recognition.
- 📊 Data extraction: Extract structured information from unstructured text.
For deeper exploration, check our spaCy tutorial to learn how to install and use the library.