Architectural Design of aChatbotused For Artificial Intelligence with NLP Classification using Deep Learning

Abstract

A chatbot is a piece of technology that uses natural language to mimic human behaviour. In order to improve customer service and happiness, there are many types of chatbots that can be employed as conversational agents in different business fields. This research proposed novel technique in chatbot data based NLP classification utilizing DL structures. Here the information has been gathered from chatbot and handled for clamor expulsion and standardization. The handled information has been highlight extricated with ordered utilizing Bi-LSTM based Intermittent brain organizations. The trial examination has been completed regarding exactness, accuracy, F-1 score.The trials on two data sets of articles revealed that employing natural language processing and the suggested technique established its viability for creating an automatic categorization system of articles with an accuracy of above 91%.