Sentiment Analysis and Deep Learning Based Chatbot for User Feedback

Abstract

Recently, the conversational agents like Chatbots are widely employed for achieving a better Human-Computer Interaction (HCI). In this paper, a retrieval based chatbot is designed using Natural Language Processing (NLP) techniques and a Multilayer Perceptron (MLP) neural network. The purpose of the chatbot is to extract user’s feedback based on the services provided to them. User feedback is a very essential component for the betterment of the service. Chatbot serves as a better interface for obtaining an appropriate user feedback. Furthermore, sentiment analysis is done on the feedback as a result a suitable response is delivered to the user. A Long Short Term Neural Network (LSTM) is used to classify the sentiment of the feedback.