AI engineering glossary · NLP embeddings
What is spaCy?
spaCy: An open-source Python library for practical NLP, offering pretrained pipelines for tokenisation, tagging, parsing and named entity recognition, plus tools for training custom models. It is designed for fast, production-style text processing.
spaCy: an example
nlp = spacy.load("en_core_web_sm") loads an English pipeline, and doc.ents lists the entities it found.
Related terms
More NLP embeddings terms
- Special tokens
- Spelling correction
- Static embedding
- Subword regularisation
- Subword tokenisation
- Term frequency
- Text classification
- Text embedding model
Where you learn it
spaCy is part of the AI Engineering Program, which teaches it with notes, a hands-on lab and an exam. The first lesson is free.