Book Image

Hands-On Chatbots and Conversational UI Development

By : Srini Janarthanam
Book Image

Hands-On Chatbots and Conversational UI Development

By: Srini Janarthanam

Overview of this book

Conversation as an interface is the best way for machines to interact with us using the universally accepted human tool that is language. Chatbots and voice user interfaces are two flavors of conversational UIs. Chatbots are real-time, data-driven answer engines that talk in natural language and are context-aware. Voice user interfaces are driven by voice and can understand and respond to users using speech. This book covers both types of conversational UIs by leveraging APIs from multiple platforms. We'll take a project-based approach to understand how these UIs are built and the best use cases for deploying them. We'll start by building a simple messaging bot from the Facebook Messenger API to understand the basics of bot building. Then we move on to creating a Task model that can perform complex tasks such as ordering and planning events with the newly-acquired-by-Google Dialogflow and Microsoft Bot framework. We then turn to voice-enabled UIs that are capable of interacting with users using speech with Amazon Alexa and Google Home. By the end of the book, you will have created your own line of chatbots and voice UIs for multiple leading platforms.
Table of Contents (11 chapters)

Building a Persona Bot

In the last chapter, we built a chatbot to talk about weather information over Facebook Messenger. Although we were able to have a conversation with it, it was mainly by the use of buttons that were made available by the deployment platform. However, in order to make the chatbot sound more natural, we need to allow users to chat with the chatbot using natural language. This means that the chatbot needs to be able to process users' utterances, understand them and identify the most appropriate response to give back to the user. In this chapter, we will explore how we can process natural language inputs from the user using a tool from Google called Dialogflow (previously called API.AI) to build a chatbot that can understand natural language input from the user. We will deploy the chatbot on two platforms: web chat and Facebook Messenger. We will explore...