Integration of ML, NLP using RASA NLU

What is RASA NLU?

• Rasa NLU is an open-source NLP library for intent classification and entity extraction in chatbots.

Why Should I use RASA NLU?

• It is actively maintained and good community support.
• Our sensitive data wouldn’t be shared with any third party.
• To answer user queries no API calls are needed so no worries of third party server down.
• With Rasa NLU we can experiment with which ML algorithm works best for our dataset rather than depending on a fixed algorithm.

Features of RASA NLU

• Extract meaning from messages
• Hold complex conversations
• Interactive learning
• Run your assistant on Slack, Facebook, Google Home, IVR, custom channels, and more
• Integrate knowledge bases, content management systems, and CRMs.
• Leverage conversation-driven development
• Integrate with automated testing and CI/CD.
• Ready-to-deploy Docker containers and orchestration.

RASA X

• Test, ship, and improve virtual assistants with Rasa X
• Rasa X is a toolset that layers on top of Rasa Open Source, making it easy to build and improve virtual assistants.
• Review conversations
• Data Annotation
• Analyse performance
• Create robust test cases