Development of Chatbot for Communication in Information of University The Development of Chatbot for University Information services

Abstract

The research purposes were to Study processing algorithms for developing an automatic chat response system, Develop an automatic chat response system for accurate and appropriate university news (Chat Bot), and Study to Evaluate user satisfaction with the automatic chat response system (Chatbot). The target group comprises undergraduate students, Faculty of Science and Technology Southeast Bangkok University, and 30 people using the random selection method. Five computer application experts by specific selection The tools used in the research were 1) a questionnaire on university information needs, 2) a form to assess the accuracy and suitability of the automatic conversation system, and 3) a questionnaire on user satisfaction with the automatic conversation system. Data were analyzed using descriptive statistics, including frequency, mean, and standard deviation.

            The research findings showed that the results of the comparison test of the algorithm of the sample data set showed that the Fuzzy Wuzzy Algorithm similarity processing average value was 65.28, which was greater than the natural language processing algorithm with an average of 42.04. Experts' evaluation of the accuracy and suitability of the automatic conversation counter system found a mean value of 4.36 and a standard deviation of 0.58. The results of assessing user satisfaction with the system found that the mean was 4.05. The standard deviation was 0.73, which is an outstanding level.