Getting Started with spaCy for Natural Language Processing

In a series of previous posts, we have looked at some general ideas related to textual data science tasks, be they natural language processing, text mining, or something different yet closely related. In the most recent of these posts, we covered a text data preprocessing walkthrough using Python. More specifically, we looked at a text preprocessing walkthrough using Python and NLTK. While we did not go any further than data preprocessing with NLTK, the toolkit could, theoretically, be used for further analysis tasks. While NLTK is a great natural language... well, toolkit (hence the name), it is not optimized for building production systems.