A neural network inspired architecture for Chatbots using NLP
Switch branches/tags
Nothing to show
Clone or download
Fetching latest commit…
Cannot retrieve the latest commit at this time.
Failed to load latest commit information.



A neural network inspired architecture for Chatbots using NLP

Neural-Bot is a simple NLP based chatbot. It's architecture is similiar to neural networks, but not too much mathematics involved.

Architecture of our bot

Architecture of our chatbot

Each neuron in this network will be having knowledge on different domains.

Structure of our dataset

Example structure of data is given below. Humans will be mostly talking about something, and that something can be a noun. So our bot will be organizing his knowledge based on these noun keywords. When human ask some question to bot, like what is an aeroplane, it will trigger all the neurons and will findout an answer from its knowledge set. Finally the activation function in each neuron will decide whether that neuron should trigger or not. If there is atleast one neuron with aeroplane as a keyword, then it will check for an approximate match for the given question. And then it will return most matching response.

Dataset structure of our chatbot

Example Conversation

Example conversation of our chatbot