I recently needed to learn text mining for a project at work. I generally learn more quickly with a real-world project. So, I turned to a topic I love: Wilderness, to see how I could apply the skills of text scrubbing and natural language processing. You can clone my Git repo for the project or follow along in the post below. The first portion of this post will cover web scraping, then text mining, and finally analysis and visualization.

Data is the lifeblood of modern businesses. Increasingly, getting the most out of our organization's data with accurate insight and understanding makes a real difference to business success. As a result, the data scientist has become a critical hire for companies of all sizes, whether the job is a specialized position in IT or embedded in a business unit. Nevertheless, it isn't always clear what we mean by the term data scientist. A highly qualified data analyst?