Implementation of natural language processing and machine learning in the chatbot customer service application for new student admission.

Autor: Iskandar, Akbar, Kartowagiran, Badrun, Haryanto, Amiruddin, Erwin Gatot, Said, Ansar
Předmět:
Zdroj: AIP Conference Proceedings; 2023, Vol. 2704 Issue 1, p1-6, 6p
Abstrakt: New student admissions at various universities experience a lack of direct interaction in terms of providing information automatically, especially STMIK AKBA. This study aims to build a chatbot application by applying natural language processing, machine learning and finding out how well the response accuracy of the chatbot is. This research was designed by utilizing the tools from google dialogueflow, and the results obtained from this study resulted in a chatbot-based communication media. Furthermore, based on the measurement results of the Usability aspect as a whole, it produces a feasible value for use, while the level of accuracy of the method used in the test results for the threshold value for machine learning is 0.6, while the results of the automatic correction test on user text are 80%, [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index