Entity Extraction in Rasa Chatbot

How does a robot understand what we said?
How does a robot understand what we want?
How does a robot understand what to do?

These are the very tricky and the most important questions that are stuck in our mind when we think of how a robot perform all the actions. So we as a innovators and the creators should understand the main logic and the reason behind all this to make our bot to do all such tasks.

To make you understand all this I am back with this session to make you understand and apply this logic in your dream project. 😍

In this video you will learn how to extract the entities from the text said by the user to the Rasa chatbot and to accordingly use it. Also you will learn how to debug the Rasa chatbot to understand the back end part of the chatbot. Also you will learn all about the updating of the nlu and domain file for the same to create the best entity extractor so far.

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To learn python programming check out this link:

   • Python for Beginners  
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For any doubts or queries related to the topic, feel free to leave a comment below in the comment section. Also do comment your valuable feedback in the feedback so as to appreciate or improve ourselves. For any further information or queries you can also WhatsApp me at +91 8209829808.


Till then stay tuned and happy learning 🤗