Chatbot Building with Rasa

Description

Do you want to create a talking chatbot that interacts with your visitors? In this tutorial, you will learn how to create Python chatbots using Rasa NLU and Rasa Core. They provide several Natural Language processing functions that parse user input and match it to the right response. Integrating NLP into your bot can be difficult, but with Rasa, it is much easier to create a Facebook Messenger bot or a website chatbot.

Rasa is a powerful open-source machine learning framework for developers to create contextual chatbots and expand bots beyond answering simple questions. In this course, you will study both Rasa NLU and Rasa Core.

• Rasa NLU is an open-source natural language processing tool for intent classification and entity extraction in chatbots. You can think of it as a set of high-level APIs for building your own language parser using existing NLP and ML libraries. Among the main reasons for using open-source NLU are: 1) you don’t have to hand over all your chatbot training data to Google, Microsoft, Amazon, or Facebook; 2) Machine Learning is not one-size-fits-all. You can tweak and customize Python chatbot models for your training data; and 3) Rasa NLU runs wherever you want, so you don’t have to make an extra network request for every chatbot message that comes in.

  
  

• Rasa Core leverages developers’ existing domain knowledge to help them bootstrap from zero training data, and adopts an interactive learning approach. With Rasa Core, you manually specify all the things your bot can say and do. We call these actions. One action might be to greet the user, another might be to call an API, or query a database. Then you train a probabilistic model to predict which action your Python chatbot should take given the history of a chatbot conversation.

This Python chatbot course will help you:

• Build chatbots with Python using Rasa NLU & Rasa Core

• Understand intents and entities.

• Build a Facebook Messenger bot.

• Deploy chatbots on cloud platforms such as Heroku.

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