High-level Overview of the spaCy Library
Explore spaCy, an industrial-strength Python library designed for natural language processing tasks. Understand its features including efficient tokenization, named entity recognition, part-of-speech tagging, and how it compares to other NLP libraries. This lesson prepares you to use spaCy for practical NLP applications with pre-trained models and seamless integration.
We'll cover the following...
What is spaCy?
spaCy is an open-source Python library for modern NLP. The creators of spaCy describe their work as industrial-strength NLP. spaCy is shipped with pre-trained language models and word vectors for 60+ languages.
spaCy is focused on production and shipping code, unlike its more academic predecessors. The most famous and frequently used Python predecessor is NLTK. NLTK's main focus was providing students and researchers with an idea of language processing. It never put any claims on efficiency, model accuracy, or being an industrial-strength library. spaCy focused on ...