spaCy Quickstart

Learn how to do text analytics with spaCy v3 in this hands on course. 

Learn to process and analyze text data through three key modules: document objects, linguistic pipelines, and pattern matching. 

Starting with fundamental text operations, you'll explore spaCy's powerful document model, including tokenization, part-of-speech tagging, and named entity recognition. 

You'll then dive into spaCy's pipeline components, understanding how each stage processes text, from tokenization to entity recognition. 

The course concludes with advanced pattern matching techniques, teaching you to create sophisticated rules for text extraction using Token, Dependency, and Phrase matchers. 

Perfect for developers and data scientists who want to build robust text analysis applications using spaCy's rich feature set.