Chatbot using TensorFlow for small Businesses

Chatbots are software used in entertainment industry, businesses and user support. Chatbots are modeled on various techniques such as knowledge base, machine learning based. Machine learning based chatbots yields more practical results. Chatbot which gives responses based on the context of conversation tends to be more user friendly. The chatbot we are proposing demonstrates a method of developing chatbot which can follow the context of the conversation. This method uses TensorFlow for developing the neural network model of the chatbot and uses the nlp techniques to maintain the context of the conversation. This chatbots can be used in small industries or business for automating customer care as user queries will be handled by chatbots thus reducing need of human labour and expenditure.

I. Introduction

Chatbots are simple computer programs that interacts with users using natural language. The interaction can be textual or auditory depending upon the need. The popularity of this bots are increasing every day and are used in various practical applications which include customer service, information acquisition and dialogue systems. This bot uses Natural language processing techniques for understanding user query and give response. Now there are bots which uses fixed response techniques where user query is searched for fixed keywords and returns response which matches the most with the query. Also, some bots use string manipulation techniques where response is nothing but manipulated version of user query e.g. Eliza.