Sentiment analysis for chatbots - DialogFlow, IBM Watson

🚀 Course Title: Sentiment Analysis for Chatbots with Google DialogFlow, IBM Watson, & AFINN

Course Headline:

🤖 Master Sensitive Chatbots with Sentiment Analysis!

Course Description:

Embark on a journey to transform your chatbot into an emotionally intelligent companion with the power of sentiment analysis. In this comprehensive course, Jana Bergant, a seasoned web engineer with 20 years of programming expertise and an IT instructor who has empowered over 17,000 students, will guide you through the process of making your chatbot sensitive to user emotions and frustrations.

What You'll Learn:

• Understanding Chatbot Infrastructure: Get familiar with the tech stack used throughout the course and set up your development environment.
• Sentiment Analysis Fundamentals: Discover the essentials of sentiment analysis, its benefits for chatbots, and how it enhances user experience.
• Rule-based vs. Machine Learning Approaches: Learn about both dictionary-based solutions like AFINN, and natural language processing with Google DialogFlow and IBM Watson.
• Implementing Sentiment Analysis: Start with a simple dictionary-based approach, identify frustrated users, and escalate to live agents when necessary.
• Real-time Notifications: Set up a notification system in Slack to alert you when a user is experiencing frustration.
• Machine Learning Implementation: Dive deep into Google's natural language solution and implement it step-by-step into your chatbot.

Course Structure:

1. Infrastructure Overview: Get to know the tech stack and set up your development environment.
2. Sentiment Analysis Insights: Understand what sentiment analysis is, its importance in chatbots, and the scenarios where it can be applied.
3. Dictionary-based Sentiment Analysis Implementation: Transform your chatbot with a dictionary-based solution, identify negative sentiments, and escalate to live support when needed.
4. Machine Learning Integration: Explore the world of machine learning with Google's natural language API for sentiment analysis.

Hands-On Demos & Code Examples:

• Code Walkthroughs: Follow along with my chatbot source code from previous courses, even if you haven't taken them.
• Git Commits: Stay on track with git commits that showcase every video's code changes for seamless learning and debugging.

Additional Support & Resources:

• Questions & Answers: Post your queries, and I'll be there to guide you at every step of development.
• GitHub Repository: Access the course source code and compare it with your progress using git commits.

Course Outcome:

By completing this course, you will have a fully functional chatbot integrated with sentiment analysis capabilities. It will be able to read and respond to user sentiments effectively, ensuring a better user experience and higher satisfaction rates.

Your Instructor:

Jana Bergant, a web engineer with two decades of programming under her belt and an IT instructor who has positively impacted over 17,000 students, will be your guide through this course. Jana is committed to supporting all her students throughout their learning journey.

Enroll Now & Elevate Your Chatbot's Capabilities!

Ready to create a chatbot that truly understands its users? 🌟 Don't wait - join this course and give your chatbot the gift of sentiment analysis today!

See you in the course, and happy coding! 🚀

Jana Bergant