Overview: Getting Started
Explore the fundamentals of starting NLP development using spaCy with Python. Understand spaCy's offerings, install necessary packages, load models, and use displaCy for visualization. This lesson sets the foundation for practical NLP projects with spaCy.
We'll cover the following...
We will have a comprehensive introduction to natural language processing (NLP) application development with Python and spaCy. First, we will see how NLP development goes hand in hand with Python, along with an overview of what spaCy offers as a Python library.
After the warm-up, we will quickly get started with spaCy by downloading the library and loading the models. We will then explore spaCy's popular visualizer displaCy by visualizing several features of spaCy.
By the end of this chapter, we will know what we can achieve with spaCy and how to plan our journey with spaCy code. We will be also settled with our development environment, having already installed all the necessary packages for NLP tasks in the upcoming sections.
We're going to cover the following main topics:
Overview of spaCy
Visualization with displaCy