Description
Chapter 2: Introduction to Google DialogflowChapter Goal: To introduce the basics of Google Dialogflow 2.2 What is Google Dialogflow2.3 Use cases for Google Dialogflow2.4 Bot Frameworks2.5 Building your First Bot using Google Dialogflow
Chapter 3: Advanced Concepts of Google DialogflowChapter Goal: Details how to build a chatbot with Google Dialogflow3.1 Input context and output context3.2 Follow up intents3.3 Multiple responses3.4 Contextual entities3.5 Handling combination of intents and entities3.6 Event creation3.7 Enable fulfillment - webhook and inline editor3.8 Slots 3.9 Handling intent conflicts3.10 Showcasing the solutions in various formats like Text, HTML and to integrations such as Google Assistant3.11 Multi-lingual chatbots3.12 Prebuilt agents
Chapter 4: Use cases for Cognitive Chatbots using Google DialogflowChapter Goal: Provide different use cases and integrations for Cognitive Chatbots using Google Dialogflow.4.1 Chatbot personality via webhook4.2 Simple and complex dialogflow design for travel use case4.3 Integration with Google weather API.4.4 Additional integrations4.5 Intent Identifications - audio, speech responses and sentiment analysis4.6 Integrate Google Dialogflow with other services to enhance the conversational flow and search Chapter 5: Researches in field of Cognitive Virtual ChatbotsChapter Goal: Provides an introduction to the new researches in the areas of Cognitive Virtual Chatbots5.1 Cognitive Virtual Chatbots - research
Author: Navin Sabharwal, Amit Agrawal
Publisher: Apress
Published: 03/17/2020
Pages: 192
Binding Type: Paperback
Weight: 0.66lbs
Size: 9.21h x 6.14w x 0.44d
ISBN13: 9781484257401
ISBN10: 1484257405
BISAC Categories:
- Computers | Artificial Intelligence | General
- Computers | Programming | Open Source
About the Author
Navin Sabharwal is an innovator, thought leader, author, and consultant in the areas of AI, machine learning, cloud computing, big data analytics, and software product development. He is responsible for IP development and service delivery in the areas of AI and machine learning, automation products, GCP, cloud computing, public cloud AWS, and Microsoft Azure. Navin has created niche award-winning products and solutions and has filed numerous patents in diverse fields such as IT services, assessment engines, ranking algorithms, capacity planning engines, and knowledge management.
Amit Agrawal is a principal data scientist and researcher delivering solutions in the fields of AI and machine learning. He is responsible for designing end-to-end solutions and architecture for enterprise products.