Fumito Masui

Fumito Masui graduated Okayama University Faculty of Science in 1990. Later, worked at Oki Electric Industry Co., was an Assistant at Mie University Faculty of Engineering, and a Visiting Researcher at Graduate School of Information Science and Technology, Hokkaido University, in 2004. Since 2009 he has been an Associate Professor at Kitami Institute of Technology, Faculty of Engineering. He owns a Ph.D. in Engineering. He is an author of over three hundred publications and owns sixteen patents. His main contributions to the scientific community include creating a first named entity extraction tool for Japanese, founding the fields of automatic cyberbullying detection, and curling informatics. His research interests include natural language processing, tourism informatics, and curling informatics. Fumito Masui is a member of the following academic societies: The Association for the Advancement of Artificial Intelligence (AAAI); The Institute of Electrical and Electronics Engineers (IEEE); The Association for Natural Language Processing (ANLP); The Information Processing Society of Japan (IPSJ); The Japanese Society for Artificial Intelligence (JSAI); Institute of Electronics, Information, and Communication Engineers; Society for Fuzzy Theory and Intelligent Informatics (SOFT); Hokkaido Regional Tourism Society; and Japan Curling Association.

Publications

Description and Initial Analysis of Cyberbullying Dataset
Description and Initial Analysis of Cyberbullying Dataset
Michal E. Ptaszynski, Fumito Masui. © 2022. 28 pages.
In this chapter, the authors focus on datasets used in cyberbullying detection research. They describe and compare several datasets applied in previous research and describe in...
Brute Force Search Method for Cyberbullying Detection
Brute Force Search Method for Cyberbullying Detection
Michal E. Ptaszynski, Fumito Masui. © 2020. 46 pages.
In this chapter, the authors present a method for automatic detection of malicious internet contents, based on a combinatorial approach resembling brute force search algorithms...
Automatic Cyberbullying Detection: Emerging Research and Opportunities
Automatic Cyberbullying Detection: Emerging Research and Opportunities
Michal E. Ptaszynski, Fumito Masui. © 2019. 180 pages.
Due to the prevalence of social network service and social media, the problem of cyberbullying has risen to the forefront as a major social issue over the last decade. Internet...