Cognitive Virtual Assistants Using Google Dialogflow: Develop Complex Cognitive Bots Using the Google Dialogflow Platform

Table of Contents
About the Authors
About the Technical Reviewer
Acknowledgments
Introduction
Chapter 1: Introduction to Cognitive Virtual Bots
	Cognitive Virtual Assistants
	Use Cases for Cognitive Virtual Assistants
		Self-Service/Help Desk for IT Services
		Triage
		Lead Generation
		E-commerce
	Google Ecosystem
		Google AI Platform
		Products and Services
			Google Dialogflow
			Google Natural Language API
				Syntax Analysis
				Sentiment Analysis
				Entity Analysis
				Entity Sentiment Analysis
				Text Classification
			Cloud AutoML
			Google Cloud ML Engine
			Google Tensorflow
			Data Labeling
			AI Platform
			Cloud Talent Solution
			Cloud Translation
			Cloud Vision
			Video Intelligence
Chapter 2: Introduction to Google Dialogflow
	Example: Human-to-Human Interactions
	Building Your First Bot Using Google Dialogflow
		Creating a Google Dialogflow Account
		Using the Dialogflow Agent
		Defining the Intents and Entities
			Use Case
			Intent
				Training Phrases
				Action Field and Parameters
			Responses
			Entities
				System Entities
				System Entity Extension
				Regexp Entities
				Referencing Entity Values and Synonyms in the Training Phrases
			Batch Operations
			Testing the Intents
			Working with Intents
				Default Intent
				Create and Train a New Intent
		Defining an Action and Parameters
		Defining the Responses
		Integrating with the Built-in Bot Framework Web Demo
	Trying Your First Bot
	Conclusion
Chapter 3: Advanced Concepts in Google Dialogflow
	Input and Output Contexts
	Follow-Up Intents
	Handling Multiple Intents (Intent Priority)
		Intent Training
		Conversation List
	Agent Settings
	Multilingual Chatbots
	Prebuilt Agents
	Fulfillment: Integration with the Weather API
		Fulfillment
		Webhook Service
		Open Source Weather API
	Conclusion
Chapter 4: Chatbot Enrichment
	Chatbot Personality
		Windows Server
			Step 1: Install Flask-RESTful
			Step 2: Build the REST API
			Step 3: Deploy the Flask REST API
			Step 4: Get a Response from the REST API
		Linux Server
			Step 1: Install Flask-RESTful
			Step 2: Build the REST API
			Step 3: Deploy the Flask REST API
			Step 4: Get a Response from the REST API
		Personality JSON
		Personality Intent
	Sentiment Analysis
	Event Configuration: Chatbot Transfer
	Integration with Facebook Messenger
	Google Dialogflow’s Knowledge Base Integration
		Enable Beta Features
		Create a Knowledge Base
	Spell Correction
	Conclusion
Chapter 5: New Research in the  Field of Cognitive Virtual Chatbots
	Current Research
	Research Acquisitions
Index