Let's say that you have an understanding of how to tackle natural language processing tasks. Let's also say that you have decided, more specifically, the type of approach you will employ in attempting to solve your task. You still need to put your plan into action, computationally, and there is a good chance you will be looking to leverage an existing NLP library to help you do so. Assuming you are programming in Python (I can't help you if not), there is quite a landscape of options to choose from. While this article is not an endorsement of any particular collection of such solutions, it serves as an overview to a curated list of 5 popular libraries you may look to in order to work on your problems.