Overview of Building ChatBots with Deep Learning

 

ChatBots are an implementation of Conversational Interface Intelligently comprising of Machine Learning, Deep Learning as their backbone. ChatBots hold variety including be Textual, Voice and Image-based interactions.

 

The chatbot can be of two types: Goal-oriented (such as Siri, Alexa, Cortana, etc.) and General Conversation (Microsoft Tay bot).

 

Conversation framework of ChatBot acts in three stages:

 
  • Sense
  • Think
  • Act
 

Business Challenge for Building Chatbots

 
  • Fixed set of answers
  • Integration of ChatBot
  • Understanding of Problem
  • Security Issues
  • Lack of Human Behaviour and Intentions
  • Managing a ChatBot
  • NLP limitations
 

Solution Offered for Implementing ChatBots with Deep Learning

 

Deep Learning which is galvanized by the functioning of the human brain, has composite engineering and used for the imitation of the data. Neural Network acts as the elementary brick of Deep Learning. A Neural Network is an Artificial Model of the human brain network modeled using hardware and software.

 

ChatBots Implementation Techniques

 
  • Streaming of incoming data through the backend
  • Create a model using Natural Language Processing
  • Create a Natural Conversational Flow
  • Add features to automate the process
  • Invite Customers to Join

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