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 your first Twitter bot

Let's build a simple Twitter bot. This bot will listen to tweets and pick out those that have a particular hashtag. All the tweets with a given hashtag will be printed on the console. This is a very simple bot to help us get started. In the following sections, we will explore more complex bots.

  1. Go to the root directory and create a new Node.js program using npm init:
  1. Execute the npm install twitter --save command to install the Twitter Node.js library:

Run npm install request --save to install the Request library as well. We will use this in the future to make HTTP GET requests to a news data source.

  1. Explore your package.json file in the root directory:
{
"name": "twitterbot",
"version": "1.0.0",
"description": "my news bot",
"main": &quot...