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  • Book Overview & Buying Building Bots with Microsoft Bot Framework
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Building Bots with Microsoft Bot Framework

Building Bots with Microsoft Bot Framework

By : Gaddam
2.3 (3)
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Building Bots with Microsoft Bot Framework

Building Bots with Microsoft Bot Framework

2.3 (3)
By: 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)
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Natural Speech and Intent Processing Bot Using Microsoft Cognitive Services

This chapter is for understanding how to use Microsoft Cognitive Services. The bot identifies the concepts and actions in the message that is sent to the bot with part-of-speech tagging, and finds phrases and concepts using natural language parsers. Also, it returns all the identified intents that were created and trained in the custom LUIS app. For example, if you say "Hi John, am going to New York tonight", the bot will return part-of-speech tagging as well as parses data for natural speech and Intent Processing to know the name and location--that is, Name: John, Place: New York, and so on.

You may be mining customer feedback of your application since you want to know whether the user has given a positive or negative feedback, or you may need to identify what your user is trying to communicate with your bot by interpreting user...

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