I read a lot. Some might even say compulsively. I've been known to consume more than a hundred articles on some days. But despite this, I frequently find myself searching for more to read. I suffer from this sneaking suspicion that I have missed something interesting, and will forever suffer a gap in my knowledge!

If you suffer from similar symptoms, fear not, because in this chapter, I'm going to reveal one simple trick to finding all the articles you want to read without having to dig through the dozens that you don't.

By the end of this chapter, you'll have learned how to build a system that understands your taste in news, and will send you a personally tailored newsletter each day.

Here's what we'll cover in this chapter:

• Creating a supervised training set with the Pocket app
• Leveraging the Pocket API to retrieve stories
• Using the Embedly API to extract story bodies
• Natural language processing basics
• Support vector machines
• IFTTT integration with RSS feeds and Google Sheets
• Setting up a daily personal newsletter