NGHIÊN CỨU MÔ HÌNH HỆ THỐNG HỖ TRỢ TƯ VẤN CÔNG TÁC HỌC VỤ TRONG CƠ SỞ GIÁO DỤC ĐẠI HỌC

Abstract

A chatbot is a computer program or an artificial intelligence software that can interact with users in natural language, automatically simulate a conversation via an interface in the form of a message or sound. In the era of digital transformation, it has created conditions for chatbots to accelerate quickly and create a system of many types of bots similar to the ecosystem in customer care such as providing product information, offering suggestions, inventory management, scheduling, and medical data lookup and healthcare. In this article, we built a chatbot system capable of supporting academic counsulting for students by combining clustering method KNN, neural networks, bag-of-words model, and statistical measure TF-IDF. By combining machine learning and clustering techniques, we built a computational model with a chatbot system to understand and respond to questions related to academic affairs.