Introduction

**Natural language processing (NLP) **is an intimidating name for an intimidating field. Generating useful insight from unstructured text is hard, and there are countless techniques and algorithms out there, each with their own use-cases and complexities. As a developer with minimal NLP exposure, it can be difficult to know which methods to use, and how to implement them. I’m here to help.

If I were to offer perfect results for minimal effort, you would be right to be skeptical. Instead, using the 80/20 Principle, I’ll show you how to quickly (20%) deliver solutions, without significantly sacrificing outcomes (80%).

“The 80/20 Principle exerts that a minority of causes, inputs, or efforts usually leads to a majority of results, outputs, or rewards”

-Richard Koch, author of The 80/20 Principle

How exactly will we achieve this goal? With some fantastic Python libraries! Instead of reinventing the wheel, we may stand on the shoulders of giants and innovate quickly. With pre-tested implementations and pre-trained models, we will focus on applying these methods and creating value.

#libraries #nlp #natural-language-process #algorithms #python

Natural Language Processing (NLP): Don’t Reinvent the Wheel
1.70 GEEK