Practical Bot Development

Practical Bot Development

Designing and Building Bots with Node.js and Microsoft Bot Framework

Rozga, Szymon







15 a 20 dias

Versão ebook 39,49 €

Descrição não disponível.
Chapter 1: Introducing Bots Motivation: apps vs bots and interacting with computers using Natural Language Interfaces. Google Now, Siri, Alexa. Great progress in recent years in both translation, voice recognition and natural language understanding technologies. Democratization of AI and Machine Learning APIs. Bots as a new way of implementing user interfaces. Use Case: describe a bot to help users order tickets Use it to describe the following concepts: Natural language recognition Text conversations Rich media conversations Bot-led conversations Human hand off Embedding into messaging apps Chapter 2: Bot User Design (UX) Motivation: there is a good way for bots to communicate to you and there is a bad way. This chapter will distill some common "good" approaches to a bot and Also show some examples of bad communication. conversational User Experience Text vs rich conversations Bot initiated conversations Perceived performance Personalized content Concise and clear messaging Consistent voice Do one thing well, provide value Chapter 3: Natural Language Understanding Motivation: part of the reason bots are becoming a thing is that natural language recognition technologies are widely available and easier to use. Intent classification Entity Extractors - Named Entity Extraction LUIS How to create a model How to train LUIS to recognize intents and entities (use ticket ordering bot as a use case) Action Fulfillment - not used in LUIS anymore, but still used in cloud based, intent-led bot frameworks. It is interesting to know when creating bots. Chapter 4: Introducing Microsoft Bot Builder Framework Motivation: cloud bot services vs bot as a web service models. We favor bot as a web service model for ease of use, control, extensibility etc. MSFT bot builder framework - what is it? Node.js and why we use the Node.js version vs the C# version Core concepts Intro to emulator Node.js samples How to run sample Some basic bot samples Chapter 5: Dive into Bot Builder Motivation: we need to go over the different concepts inside the bot builder framework and how they help us build bots. Dialogs Messages Connector Channels Conversation State Recognizers Actions Proactive messages Chapter 6: Putting it all together Motivation: Build a sample bot that uses all of the concepts in the previous chapter Back to ordering tickets bot - lots of coding Chapter 7: Advanced bot builder topics Motivation: Expand sample from #6 with some more advanced concepts like proactive messaging, better dialog management, custom recognizers, deeper action support, group chats, etc. Lots of code here Chapter 8: Deploying to Channels and sending custom data Motivation: a bot is useless unless it is connected to a channel. Let's see how this is done. We introduce the bot framework web site. Focus on Messenger and Slack Show some custom functionality such as messenger square cards or slack updating messages Chapter 9: Custom channels Motivation: sometimes you would like to support a custom channel that is not supported out of the box by Microsoft. How do we do this? Using direct line Using vanilla bot builder interfaces Chapter 10: Making the Bot smarter Motivation: there is a lot of easy to use AI/ML services out there. What are they and how can they help our bot be smarter. Vision Emotion Language Detection Sentiment Linguistic Analytics QnA Maker Why use these? Why not use these services? What is the goal of your bot? Chapter 11: Communicating using Custom Graphics Motivation: rich content and graphics can better capture information than plain text using dynamically generated images Adaptive Cards - - one option, easier to deal with Custom HTML generation - generate images from html using PhantomJS on the server Chapter 12: Human Handoff Motivation: customers want to keep in touch with your brand, what happens when a human is needed? Chapter 13: Logging and Bot Analytics How do we log data? What are the interesting measures that we look for in a bot? What systems are out there and what can they can us figure out about our customers and bots? Chapter 14: Other bot implementation platforms Brief overview of the technology field:,, IBM conversation, amazon, etc. Goal of this chapter will be to demonstrate that these frameworks have very similar approaches in terms of NLU, conversation management, state, etc. Knowledge from this book will allow you to develop using the other systems.
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