Description:

This talk will show you how you could use open-source tools to build a chatbot with without handing your data over to third parties ( Facebook/Microsoft/Google )

You will learn:

• how a chatbot works behind the scene
• how to transfer knowledge to a chatbot
• how to build a production-ready bot which you would own completely
• how to use Socket.IO to make your chatbot communicate in real-time.

Outline

• Introduction: motivations for building your bot in-house
• Chatbot architecture.

• Understanding the components of chatbot -

  • Natural Language Understanding (NLU)
    
    • Intent Classification
    • Entity Extraction
  • contextual dialogue management using Finite State Machines (FSM)
  • Response Generation
  • Knowledge Base

• Open Source Tools to build your own chatbot:

  • Rasa.AI (having configurable backends like spacy/sklearn/mitie) - to build intent & entity extraction.
  • Transitions - to build a context manager using FSMs.
  • ChatterBot to generate automated response based on historical conversation.
  • Socket.IO - to build a real-time communication system.

• Demo

Prerequisites:

• Basic knowledge of NLP and Machine Learning.
• Basic understanding of Finite State Machines.
• Familiarity with Python.

Content URLs:

Slides : How to build a chatbot from scratch using open source tools?

Speaker Info:

Saikat Kumar Dey

Data Scientist at Endurance International Group. He has have been working on building a conversational assistant for Customer Support in my company. He has worked on customer segmentation & retention efforts in the past.

Parth Savjani

Data Scientist at Endurance International Group. He has 3+ years of experience in working with Data Infrastructure & predictive modelling on transaction data.

Speaker Links:

• Personal website: http://saikatkumardey.com
• Medium: https://medium.com/@saikatkumardey
• Twitter: https://twitter.com/deysaikatkumar
• Github: https://github.com/saikatkumardey/
• LinkedIn: https://www.linkedin.com/in/saikatkumardey/