Faculty information (degree and performance)
Faculty details
MATSUMOTO Yoshiyuki
MATSUMOTO Yoshiyuki
- Affiliation
- Faculty of Data Science Department of Data Science Graduate School Graduate School of Economics
- Position
- Professor
- Position
- Mr. Faculty of Data Science
Researcher Information
Specialized fields
Text mining, deep learning, management information, intelligence information, management decision making, software computing
Courses in charge
Text mining, management information overview, e-commerce theory, introduction to management informatics, e-commerce theory, e-commerce theory
Educational background
Graduated from the Department of Business Engineering, Faculty of Engineering, Osaka Institute of Technology in 1992.
Graduated from the Department of Management Engineering, Osaka Institute of Technology in 1994.
Graduated from the Graduate School of Information Production System, Waseda University in 2005.
Acquired degree
Ph.D. (Engineering) [Waseda University]
Affiliated Society
The Japan Society of Intelligence Information Society, the Society of Management Engineering, the Society of Biomedical Faziy Systems, the Society of Management Information, the Society of OR, and the Society of Electronics and Information Communication
Research Keywords
Text mining, SNS marketing, deep learning, image recognition, rough set, time series data processing
Current research themes
Text mining and natural language processing using data obtained from SNS
Data processing using deep learning
Time series data analysis using rough sets
Major Research Results and Activities
・"Analysis of Regional Information Collected from Twitter", International Journal of Biomedical Soft Computing and Human Sciences Vol.20, No.2, 2014
・“Knowledge Acquisition from Rough Sets With Merged Decision Rules”, Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol.22 No.3, 2016
・"Study of Knowledge Acquisition Using Rough Set Merging Rule from Time Series Data, IEEE Xplore Digital Library, 2019
・“Image recognition of coins excavated using deep learning”, Journal of the Society of Biomedical Faggy Systems, Vol.21 No.2, 2019
・"Tourism Information Analysis Using Twitter in the Shimonoseki Region", Journal of the Society of Biomedical Faziy Systems, Vol.22 No.2, 2020
Class seminar
My seminar
SNS marketing
A variety of data is overflowing on the web. In particular, SNS plays an important role in corporate marketing. In my seminar, I analyze various data obtained from SNS and other knowledgeable webs using methods such as text mining and deep learning, and conduct research to obtain useful information.
Social Activities
Response to SDGs
Based on Japan's industrial analysis, we will discuss the development and development of industries, especially the role of technological innovation (innovation) in industrial development.