Building Chatbots in Python

Introduction to ChatBots

Overview of Conversational Software

Building Your First Basic ChatBot

• Setting Up Your ChatBot to Receive Text and Respond to Users
• Adding the Basic Elements of Personality
• Teaching Your ChatBot to Answer Basic Questions
• Adding Variety to Your ChatBot's Responses
• Making Your ChatBot Ask Questions
• Building Rule-Based Systems for Parsing Text

Using Machine Learning to Turn Natural Language into Structured Data for Your ChatBot

• Overview of SpaCy, Scikit-learn, and Rasa NLU
• Installing and Configuring SpaCy, Scikit-learn, and Rasa NLU
• Intents and Entities and their Classifications
• Natural Language Processing Fundamentals Theory Refresher
• Building Models from Real-World Sentences Using the ATIS Dataset

Building Your Virtual Assistant ChatBot

• Overview of a Virtual Assistant
• Working with SQL in Python
• Teaching Your ChatBot to Access Data from a Database
• Writing Queries from Parameters
• Building a Database from Natural Language
• Implementing Custom Virtual Assistant Features on Your ChatBot
  • Answering Specific Queries through Database Access
  • Refining Search, Performing Basic Negation, and Filtering Data

Making Your ChatBot Stateful: Keeping Track of States of Interaction for Better ChatBot Dialogs

• Performing Basic Actions
• Asking Contextual Questions and Queuing Answers
• Dealing with Rejection

Testing and Deploying Your ChatBot

Troubleshooting

Summary and Conclusion