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)

Summary

Hurray! You have built your very own conversational Twitter bot. I would strongly recommend that you take this further and explore other kinds of conversation that you can possibly have with the bot. How about having the bot search and retweet hashtags automatically for you? How would you use metrics, such as retweet counts, follower numbers, and like counts, to qualify a tweet for retweeting? Explore these questions to build better and more useful Twitter bots. 

In this chapter, we have covered a lot. We started off with the Twitter API and got a taste of how we can automatically tweet, retweet, and search for tweets using hashtags. We then explored a News source API that provides news articles from about 70 different newspapers. We integrated it with our Twitter bot to create a new tweeting bot. We explored how to personalize it for users by using user interest...