ATTENTION MECHANISM CONVERSATIONAL AGENT MODEL FOR DENGUE FEVER ANALYSIS

Abstract

A conversational agent, often known as a chatbot, is a sort of artificial intelligence (AI) software that can simulate a discussion (or chat) with a user in natural language via messaging programs, websites, mobile apps, or the phone. This work describes a conversational chat system that uses an attention mechanism to react to Dengue requests. The model utilizes the three scoring techniques of the Luong Attention Mechanism: They are dot, general, and concat attention mechanisms: The results demonstrate that the accuracy of the dot attention mechanism is maximum and is 87% when the test questions were taken directly from the database, as determined by an assessment of the results, compared to 38% when the attention mechanism is not used. Furthermore, when the questions are asked with natural changes, human confirmation reliability is 63% as opposed to 16% when the attention mechanism is not applied. According to the study, chatbots may be employed anywhere due to their accuracy and 24-hour availability.