[{"data":1,"prerenderedAt":12},["ShallowReactive",2],{"stack-tr-en-spacy":3},{"tagline":4,"description":5,"strengths":6,"useCase":11},"Industrial-strength NLP for Python, built for production.","spaCy is a Python natural language processing library: tokenization, POS tagging, named-entity recognition (NER), dependency parsing and lemmatization. Written in Cython, it targets speed and production deployment, where NLTK stays more academic. Pretrained multilingual pipelines, trainable components and transformer integration (HuggingFace, PyTorch) when accuracy is critical.",[7,8,9,10],"Pretrained multilingual pipelines: tokenization, POS, NER, dependencies.","Written in Cython: fast and production-oriented, not research-only.","Rule-based matching (Matcher, EntityRuler) combinable with ML.","Trainable components and transformer integration (HuggingFace, PyTorch).","Entity extraction and structuring of business text at scale.",1792675974772]