وبلاگ بلیان

دستیاران مجازی شناختی با استفاده از گوگل دایالوگ‌فلو (ساخت ربات‌های شناختی پیچیده با استفاده از پلتفرم گوگل دایالوگ‌فلو)

Cognitive Virtual Assistants Using Google Dialogflow (Develop Complex Cognitive Bots Using the Google Dialogflow Platform) ||

معرفی کتاب «دستیاران مجازی شناختی با استفاده از گوگل دایالوگ‌فلو (ساخت ربات‌های شناختی پیچیده با استفاده از پلتفرم گوگل دایالوگ‌فلو)» (با عنوان لاتین Cognitive Virtual Assistants Using Google Dialogflow (Develop Complex Cognitive Bots Using the Google Dialogflow Platform) ||) نوشتهٔ Sabharwal, Navin; Agrawal, Amit، منتشرشده توسط نشر Apress L. P. در سال 1007. این کتاب در فرمت pdf، زبان انگلیسی ارائه شده است.

Follow a step-by-step, hands-on approach to building production-ready enterprise cognitive virtual assistants using Google Dialogflow. This book provides an overview of the various cognitive technology choices available and takes a deep dive into cognitive virtual agents for handling complex real-life use cases in various industries such as travel and weather. You’ll delve deeper into the advanced features of cognitive virtual assistants implementing features such as input/output context, follow-up intents, actions and parameters, and handling complex multiple intents. You’ll learn how to integrate with third-party messaging platforms by integrating your cognitive bot with Facebook messenger. You’ll also integrate with third-party APIs to enrich your cognitive bots using webhooks. Cognitive Virtual Assistants Using Google Dialogflow takes the complexity out of the cognitive platform and provides rich guidance which you can use when developing your own cognitive bots. The book covers Google Dialogflow in-depth and starts with the basics, serving as a hands-on guide for developers who are starting out on their journey with Google Dialogflow. All the code presented in the book will be available in the form of scripts and configuration files, which allows you to try out the examples and extend them in interesting ways. What You Will Learn Develop cognitive bots with Google Dialogflow technology Use advanced features to handle complex conversation scenarios Enrich the bot’s conversations by understanding the sentiment of the user See best practices for developing cognitive bots Enhance a cognitive bot by integrating with third-party services Who This Book Is For AI and ML developers. 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
دانلود کتاب دستیاران مجازی شناختی با استفاده از گوگل دایالوگ‌فلو (ساخت ربات‌های شناختی پیچیده با استفاده از پلتفرم گوگل دایالوگ‌فلو)