spaCy - spaCy - Industry-Standard Natural Language Processing Library

spaCy Product Information

What is spaCy?

spaCy is designed to help users build real products and gather valuable insights. It excels at large-scale information extraction tasks and provides state-of-the-art speed for various NLP tasks. With its awesome ecosystem, effortless model packaging, and robust training system, spaCy has become an essential tool for NLP engineers and data scientists alike.

How to Use spaCy?

To get started with spaCy, users can easily clone a project template and run it for tasks such as training part-of-speech taggers, dependency parsers, and more. The library also offers a smooth end-to-end workflow with a wide range of features, including source asset download, command execution, checksum verification, and caching.

Core Features of spaCy

• Support for 75+ languages
• Multi-task learning with pretrained transformers
• Linguistically-motivated tokenization
• Components for named entity recognition, part-of-speech tagging, dependency parsing, and more
• Built-in visualizers for syntax and NER
• Easy model packaging, deployment, and workflow management

Use Cases of spaCy

• Large-scale information extraction tasks
• NLP model training and evaluation
• Custom model development and deployment
• End-to-end NLP workflow management

FAQ about spaCy