A conversational question and answer chatbot for university

Tham, Zhao Jin (2020) A conversational question and answer chatbot for university. Final Year Project, UTAR.

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Abstract

University admissions have been increasing over each intake. Students and parents who attend University Open Days for information querying are caught in long queues. In addition, University FAQ sites do not always resolve the problems of students and parents. Research has shown that automating information querying using chatbot can resolve operational inefficiencies and FAQ site ineffectiveness. This project proposes to develop “A Conversational Question and Answer Chatbot for University” to reduce manual work done by University marketing and promotion teams in handling information querying. Based on existing chatbot systems review, the AI Chatbot Development Methodology was adopted, and Naïve Bayes approach was chosen as the NLP Engine for the chatbot development implementation. Deployment of the chatbot demonstrated that the chatbot was able to handle most conversations in a limited domain. Further stabilization is required to improve the NLP Engine for the chatbot so that all possible user interactions could be handled.

Item Type:	Final Year Project / Dissertation / Thesis (Final Year Project)
Subjects:	Q Science > Q Science (General)
Divisions:	Faculty of Information and Communication Technology > Bachelor of Computer Science (Honours)
Depositing User:	ML Main Library
Date Deposited:	07 Jan 2021 15:41
Last Modified:	07 Jan 2021 15:41
URI:	http://eprints.utar.edu.my/id/eprint/3930

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