An Intelligent Disease Query System Based on Rasa NLU

Abstract

Intelligent Customer Service is a very popular application at present. Using the previous user's Q & A records and the existing data in the database, combined with semantic analysis, users can quickly acquire what they want to know. The system takes the Taiwan Disease Control center data as an example, which is proved by experiments that the system can replace the traditional customer service work and can provide users with instant information about diseases.