- spaCy Tutorial
- spaCy - Home
- spaCy - Introduction
- spaCy - Getting Started
- spaCy - Models and Languages
- spaCy - Architecture
- spaCy - Command Line Helpers
- spaCy - Top-level Functions
- spaCy - Visualization Function
- spaCy - Utility Functions
- spaCy - Compatibility Functions
- spaCy - Containers
- Doc Class ContextManager and Property
- spaCy - Container Token Class
- spaCy - Token Properties
- spaCy - Container Span Class
- spaCy - Span Class Properties
- spaCy - Container Lexeme Class
- Training Neural Network Model
- Updating Neural Network Model
- spaCy Useful Resources
- spaCy - Quick Guide
- spaCy - Useful Resources
- spaCy - Discussion
spaCy Tutorial
spaCy, developed by software developers Matthew Honnibal and Ines Montani, is an open-source software library for advanced NLP (Natural Language Processing). It is written in Python and Cython (C extension of Python which is mainly designed to give C like performance to the Python language programs). spaCy is a relatively new framework but one of the most powerful and advanced libraries used to implement NLP.
Audience
This tutorial will be useful for graduates, post-graduates, and research students who either have an interest in NLP or have these subjects as a part of their curriculum. The reader can be a beginner or an advanced learner.
Prerequisites
The reader must have basic knowledge about NLP and artificial intelligence. He/she should also be aware about the basic terminologies used in English grammar and Python programming concepts.