Book Image

Building Bots with Microsoft Bot Framework

By : Kishore Gaddam
Book Image

Building Bots with Microsoft Bot Framework

By: Kishore Gaddam

Overview of this book

Bots help users to use the language as a UI and interact with the applications from any platform. This book teaches you how to develop real-world bots using Microsoft Bot Framework. The book starts with setting up the Microsoft Bot Framework development environment and emulator, and moves on to building the first bot using Connector and Builder SDK. Explore how to register, connect, test, and publish your bot to the Slack, Skype, and Facebook Messenger platforms. Throughout this book, you will build different types of bots from simple to complex, such as a weather bot, a natural speech and intent processing bot, an Interactive Voice Response (IVR) bot for a bank, a facial expression recognition bot, and more from scratch. These bots were designed and developed to teach you concepts such as text detection, implementing LUIS dialogs, Cortana Intelligence Services, third-party authentication, Rich Text format, Bot State Service, and microServices so you can practice working with the standard development tools such as Visual Studio, Bot Emulator, and Azure.
Table of Contents (10 chapters)

Emotion API

The Emotion API analyzes faces to identify the emotions of a person. This API takes facial expression from an image as input and returns feelings/expressions for that face. If a user has already called the Face API on a particular image, they can submit the face rectangle from that image as an optional input. The emotions detected by the Emotion API are anger, contempt, disgust, fear, happiness, neutral, sadness, and surprise. For more information, refer to https://www.microsoft.com/cognitive-services/en-us/emotion-api/documentation.

Both the Face and Emotion APIs can also detect face attributes and emotions from a video. For a video, the Emotion API will detect the facial expressions of people in the video and return a summary of their emotions. In real-time scenarios, you can use these APIs to find out how a crowd responds to your speech or content.

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