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Hands-On Chatbots and Conversational UI Development

Hands-On Chatbots and Conversational UI Development

By : Janarthanam
4.5 (4)
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Hands-On Chatbots and Conversational UI Development

Hands-On Chatbots and Conversational UI Development

4.5 (4)
By: 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)
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Summary

Great work! In this chapter, we have designed and built a rich conversational chatbot emulating Einstein using API.AI. Obviously, the chatbot we have built is very lean and to build one that emulates a person even to a pretty decent level would require an enormous amount of time and effort. However, this exercise has been useful to demonstrate the concepts underlying natural language understanding in conversations such as intents, entities, and contexts. We have demonstrated, with practical examples, how to perform integrations with deployment platforms such as Facebook Messenger and web chat. We have shown how backend tasks can be managed and integrated seamlessly into the conversational experience.

I would encourage you to try prebuilt agents that can be imported into any agent to enhance its conversation skills. For instance, a small talk module can be added to your...

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