How to Get Started with Chatbots -- Part 3

Before diving into the ML behind customer-facing chatbots, I'll first give a quick overview of the system (tl;dr). I will also speak from my experience with Dialogflow, and make the assumption that the approach is similar across other ML-based chatbots. Basically, everything is built around "Intents" and "Entities". Intents: "When an end-user writes or says something, referred to as an end-user expression, Dialogflow matches the end-user expression to the best intent in your agent. Matching an intent is also known as intent classification."