Natural Language Processing with Python and spaCy

2THE TEXT-PROCESSING PIPELINE

Now that you understand the structure of an NLP application, it’s time to see these underlying concepts in action. In this chapter, you’ll install spaCy and set up your working environment. Then you’ll learn about the text-processing pipeline, a series of basic NLP operations you’ll use to determine the meaning and intent of a discourse. These operations include tokenization, lemmatization, part-of-speech tagging, syntactic dependency parsing, and named entity recognition.

Setting Up Your Working Environment

Before you start using spaCy, you need to set up a working environment by installing the following software ...