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spaCy

Rating:

4.8 / 5.0

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spaCy

Tags

NLP, Text Analysis, Python Library, Open Source, Machine Learning, Deep Learning

Pricing Details

Free (open source). Models for different languages are available for free download.

Features

Named Entity Recognition (NER), Dependency Parsing, Tokenization, Lemmatization, Word Vectors, Pre-trained Models, Multi-language Support, Production Ready.

Integrations

Used as a library in Python projects. Integrates with other ML/DL libraries (TensorFlow, PyTorch) and visualization tools (DisplaCy).

Preview

spaCy is an open-source library for advanced Natural Language Processing (NLP) in Python. It is designed with a focus on performance and ease of use in production environments. spaCy provides pre-trained models for various languages and offers efficient tools for performing common NLP tasks such as tokenization, Named Entity Recognition (NER), dependency parsing, lemmatization, and word vectorization. Unlike some other libraries, spaCy comes with pre-trained models and is optimized for speed, making it an excellent choice for building scalable NLP applications.