Title: Neural network and NLP based chatbot for answering COVID-19 queries

Authors: Vishal Tiwari; Lokesh Kumar Verma; Pulkit Sharma; Rachna Jain; Preeti Nagrath

Addresses: Information Technology, Bharati Vidyapeeth's College of Engineering, New Delhi, Delhi – 110063, India ' Information Technology, Bharati Vidyapeeth's College of Engineering, New Delhi, Delhi – 110063, India ' Information Technology, Bharati Vidyapeeth's College of Engineering, New Delhi, Delhi – 110063, India ' Computer Science and Engineering, Bharati Vidyapeeth's College of Engineering, New Delhi, Delhi – 110063, India ' Computer Science and Engineering, Bharati Vidyapeeth's College of Engineering, New Delhi, Delhi – 110063, India

Abstract: During the COVID-19 pandemic, people across the world are worried and are highly concerned. The overall purpose of to study and research was to help society by providing a digital solution to this problem which was a chatbot through which people can at some extent self-evaluate that they are safe or not. In this paper, we propose a chatbot for answering queries related to COVID-19 by using artificial intelligence. Various natural language processing algorithms have been used to process datasets. By artificial neural network, the model is created, and it is trained from the processed data, so that appropriate response can be generated by our chatbot. Assessment of the chatbot is done by testing it with a hugely different set of questions, where it performed well. Also, accuracy of chatbot is likely to increase upon increasing dataset.

Keywords: COVID-19; artificial intelligence; NLP; natural language processing; chatbot; ANN; artificial neural network.

DOI: 10.1504/IJIEI.2021.117059

International Journal of Intelligent Engineering Informatics, 2021 Vol.9 No.2, pp.161 - 175

Received: 28 Jun 2020
Accepted: 13 Feb 2021

Published online: 30 Jul 2021 *

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