Real Conversation with Human-Machine 24/7 COVID-19 Chatbot Based on Knowledge Graph Contextual Search

ABSTRACT

The outbreak of the COVID-19 pandemic has changed the whole world scenario and made researchers innovate on the corona virus. Researchers are working on information that includes symptoms, Infection spreading, preventive measures, health and travel advisories, and help lines for further assistance. During this pandemic scenario, the health assistant Chatbot is a very useful conversation tool for COVID-19, which provides preliminary medical advice and preventive measure suggestions. The paper proposes an Artificial Intelligence-based Re-Co Chatbot to provide information about the corona virus and also assist with customer queries. The goal is to build a 24/7 COVID Chatbot capable of answering user questions and to emphasize and stress the concept of contextual semantic search and Knowledge Graph to serve as the FAQ for Corona information. Natural Language Processing (NLP) is used to process the user question and the SpaCy library is used for text processing. Once the question is processed, entities (the subject of question) and relations (predicate of the question) are recognized and extracted. The Chatbot is designed for about 100 question-answers pairs in the CSV file and will create about 575 relationships in the Knowledge Graph. © 2021, Springer Nature Switzerland AG.