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 personalized news bot

We now have a news bot that tweets news (or posts status updates) on its own timeline. We will look at how to set it to run on a regular basis in a little while. Let us now build a more interesting bot that can tweet to its followers using the news stories that they might like. In other words, let's personalize the news:

  1. Let's assume that we have information about the users and their interests. Add the following to the tweeter.js file. For now, we are hardcoding the user interests information into the code itself. Later we will see how they can be stored and retrieved from a database:
var userInterests = [{'screen_name':'srinivasancj', 
'user_interest': 'technology'}];
  1. Create a tweetUserSpecificNews module that uses userInterests to get the...