Automatized Educational Chatbot using Deep Neural Network
Mathawan Jaiwai, Kanokwatt Shiangjen, Surangkana Rawangyot, Sakpan Dangmanee, Thanakrit Kunsuree, Autchadaporn Sa-nguanthong · 2021
Most of the time, students must visit universities or web pages to collect various information e.g. semester schedule, grade, curriculum, advisor info, etc. This process is time consuming and requires manpower providing such required information. Nowadays, social media and online services such as email, direct message, or live chat are becoming popular. Many students use live chat service because it is easy, fast and comfortable. However, there are some issues occurred an extensive amount of valuable time to answer by admin are wasted. Hence, in order to solve the problem properly, this article proposes an approach for building a question-answering system via chatbot technology. Because chatbots is an enable human-machine interactions with the system by the human language, which is very intuitive and user-friendly. This research objective was to develop a question-answer system in Thai using chatbot technology, which was integrated with the LINE mobile application. The experiment added a keyword in the educational domain to the dictionary and comparing word segmentation for 3 methods with text classification, combination of natural language processing (NLP) and Deep Neural Network (DNN) are used in the form of intent for text classification in this article.