Abstract:
The research highlights a popular problem in today's world; information overload in COVID-19. To overcome from the problem, the project discovers an attempt with the help of similarity matching technologies. The proposed solution is a web-based question answering system to answer COVID19 related questions in accurate way. The research also considers software aspects such as performance, usability, testability, and user interface aesthetics. A twitter question answering data source has been used throughout the project. The solution utilizes deep learning, natural language processing and cosine similarity to complete the mission.
