Researcher Database

（Last updated : 2025-06-04 10:34:06）　

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KOVACS MATE

Department / Course College of Information Science and Engineering Department of Information Science and Engineering

Title / Position Assistant Professor

Academic background
1.	2018/04～2021/03	Doctoral Program (2nd Semester) │ Advanced Information Science and Engineering program │ Graduate School of Information Science and Engineering │ Ritsumeikan University │ Completed │ Doctor of Engineering
2.	2016/04～2018/03	Doctoral Program (1st Semester) │ Computer Science course │ Graduate School of Information Science and Engineering │ Ritsumeikan University │ Completed │ Master of Engineering
3.	2014/10～2016/03	MEXT Scholarship research program (Japanese studies) │ Center for Japanese Language and Culture │ Osaka University │ Graduated
4.	2011/10～2012/10	MEXT Scholarship program (Japanese language and culture) │ Center for Japanese Language and Culture │ Osaka University │ Graduated
5.	2009/09～2013/07	Japanese studies │ Oriental Languages and Cultures - Japanese Studies │ Karoli Gaspar University of the Reformed Church │ Graduated │ Bachelor's Degree in Japanese studies

Business career
1.	2022/04/01 ～	Assistant Professor │ College of Information Science and Engineering │ Ritsumeikan University, College of Information Science and Engineering
2.	2021/04/01 ～ 2022/03/31	Starting Assistant Professor │ College of Information Science and Engineering │ Ritsumeikan University
3.	2020/04 ～ 2020/08	Academic Tutor │ College of Global Liberal Arts │ Ritsumeikan University
4.	2018/12 ～ 2019/04	Research Assistant │ Graduate School of Information Science and Engineering │ Ritsumeikan University
5.	2018/04 ～ 2021/02	Teaching Assistant │ College of Information Science and Engineering │ Ritsumeikan University
Display All（8）

Qualification and license
1.	2012	JLPT N1
2.	2012	Kanji Kentei Level 2

Subject of research
1.	Development of a mathematical model of online review quality for machine learning systems
2.	Towards a Model of Online Petition Signing Dynamics in Taiwan

Research summary
Online reviews available on e-commerce websites influence the purchase decision-making process of customers, and companies often rely on this form of user-generated content to attract new customers and improve user experience. As the number of reviews increases over time, however, both the companies and the customers face an information overload, while the value of reviews depreciates. Therefore, e-commerce companies require systems to be developed to automatically assess the quality of reviews, and to identify relevant content. The goal of the research is to develop a mathematical model of online review quality, and to build a deep learning system based on the model, that would efficiently quantify the quality of reviews. The study would contribute to the fields of Data quality assessment and Customer need research, while its results would have an impact on the design and development of deep learning systems for customer-driven product innovation.

Present specialized field
Information Science, Computer Science (Keyword：digital governance, e-Democracy, data quality, deep learning, natural language processing)

Papers
1.	2025/06	Perceived Challenges of Using UML by Students in Multicultural Global Software Engineering Teams │ ICIC Express Letters, Part B: Applications - An International Journal of Research and Surveys │
2.	2025/01/05	Benchmarking with a Language Model Initial Selection for Text Classification Tasks │ Machine Learning and Knowledge Extraction │
3.	2024/11/09	IndoGovBERT: A Domain-Specific Language Model for Processing Indonesian Government SDG Documents │ Big Data and Cognitive Computing │
4.	2024/09/28	A Conceptual Framework for Multidisciplinary Data Science Education Based on IoT Projects │ 2024 6th International Workshop on Artificial Intelligence and Education (WAIE) │ ,pp.331-335
5.	2024/09/13	Multicultural Observations in a Three-University Global Distributed Software Development Course: A UML Case Study │ Proceedings of the 2024 The 6th World Symposium on Software Engineering (WSSE) │ ,pp.115-120
Display All（26）

Home Page
Digital Governance Systems Laboratory

E-Mail Address

External Researcher ID
ORCID ID
0000-0001-5999-8061