Sentiment analysis for chatbots – DialogFlow, IBM Watson

Sentiment analysis for a chatbot with Google DialogFlow, IBM Watson, AFINN. Sensitive chatbot with sentiment analysis

In this course, you’ll learn how to implement a sentiment analysis to a chatbot. You will teach your bot how to be emotionally sensitive. And most urgently how to spot a frustrated user and save the day. In the course, we’ll be working with my code from the messenger chatbot course. Even if you did not take that course, you’d be able to take the code and work with it. We’ll use Node.js for programming and GIT for deploying and version control. The bot will is hosted on Heroku, but you can simply host it anywhere else where they support Node.js. We’ll use DialogFlow to process natural language.

Best Seller Course: Telegram Chatbot Bootcamp using JavaScript (2019)

What you’ll learn

• how sentiment analysis can benefit a chatbot
• common implementations scenarios for a chatbot
• use DialogFlow’s sentiment analysis to make chatbot emotionally sensitive. You’ll have a chatbot that can read the sentiment of the user’s message and act on it
• learn how to use IBM Watson for sentiment analysis
• learn how to use AFINN sentiment analysis

You May Also Need This Course: NodeJS – The Complete Guide (incl. MVC, REST APIs, GraphQL)

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