Michal E. Ptaszynski

Michal E. Ptaszynski was born in Wroclaw, Poland in 1981. He received the MA from the University of Adam Mickiewicz, Poznan, Poland, in 2006 in Japanese Studies / Linguistics. In year 2007 he joined Graduate School of Information Science and Technology, Hokkaido University, Japan, for his Ph.D. course, which he finished and earned his Ph.D. degree in 2010. In years 2010-2012 he was a JSPS Post-doctoral Research Fellow at the High-Tech Research Center, Hokkai-Gakuen University, Japan. Since 2013 to march 2018, Michal Ptaszynski was an Assistant Professor at Kitami Institute of Technology. Currently he is an Associate Professor at Kitami Institute of Technology. His research interests cross over linguistics, AI and psychology, and include such fields as natural language processing, information retrieval, human-computer interaction, science of emotions, affective computing, affect analysis, sentiment analysis, or science of emoticons. He is an author of over a hundred refereed scientific publications, with over one third of them being published in world class scientific journals. Some of the most important contributions of Michal Ptaszynski to the scientific community include: founding the field of science of emoticons, developing the first open-source affect analysis software for Japanese language, or creating a method for verification of contextual appropriateness of emotions. Together with Fumito Masui he also made the historically first attempt to tackle cyberbullying with the use of artificial intelligence, machine learning and natural language processing, which started a long-term study, concluding in the presented book. Michal E. Ptaszynski is a member of the following academic societies: The Association for Computational Linguistics (ACL), 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), and The Japanese Society for Artificial Intelligence (JSAI).

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...