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dc.contributor.authorWaranya Mahananen_US
dc.contributor.authorJirapipat Thanyaphongphaten_US
dc.contributor.authorSuttinee Sawadsitangen_US
dc.contributor.authorSumalee Sangamuangen_US
dc.description.abstractA chatbot is a computer program that can understand the human language and respond like humans. The more it acts like a human, the more helpful the chatbot is. There are several attempts to make the chatbot intelligent or human-like. In college, the routine task is to answer the questions that have been asked repeatedly or found on the official website. This task is time-consuming and a wastes task. The chatbot is one of the solutions to this problem. A good chatbot can naturally answer such questions quickly and tirelessly. However, producing an intelligent or human-like chatbot is a challenge. The chatbot should be able to answer the fundamental questions in the domain and the advanced opinion questions. In this research, we proposed the chatbot system using the machine learning technique. Therefore, the chatbot can learn from the user to improve its performance. We evaluate our chatbot by testing with real-world conversation. The result shows that our chatbot can respond to the fundamental questions with a higher accuracy rate than the advanced questions.en_US
dc.subjectArts and Humanitiesen_US
dc.subjectComputer Scienceen_US
dc.subjectDecision Sciencesen_US
dc.titleCollege Agent: The Machine Learning Chatbot for College Tasksen_US
dc.typeConference Proceedingen_US
article.title.sourcetitle7th International Conference on Digital Arts, Media and Technology, DAMT 2022 and 5th ECTI Northern Section Conference on Electrical, Electronics, Computer and Telecommunications Engineering, NCON 2022en_US Mai Universityen_US
Appears in Collections:CMUL: Journal Articles

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