You did it! You created a custom Natural Language Classifier model using world-class machine learning techniques, which you trained using no code, and tested using just five lines of code.
You not only learned how to use Watson's Language Translator, but also about the technology and algorithms behind it. You also experienced Watson's NLC service with a real, practical example, training it just at the limit of what it's capable of; we fed it roughly 14,000 tweets, and it takes a maximum of 15,000.
In the next chapter, you're going to learn how to use Watson to structure and understand the unstructured, natural-language data your users provide!