Description
Extracting people, places and organizations from contracts or news breaks regex, and academic libraries are too slow for production. spaCy is an industrial-strength natural language processing library for Python, fast and ready to use.
It handles tokenization, tagging, named entities and parsing in 70+ languages, with Transformer and LLM integration.
NER:People, places and orgs.
Languages:70+.
Fast:Cython.
Extensible:Transformers and LLMs.
It handles tokenization, tagging, named entities and parsing in 70+ languages, with Transformer and LLM integration.
Features
NER:People, places and orgs.
Languages:70+.
Fast:Cython.
Extensible:Transformers and LLMs.
