Teacher Information (Degree and Achievements)

Teacher Details

MATSUMOTO Yoshiyuki

Affiliation: Faculty of Data Science Department of Data Science Graduate School Graduate School of Economics

Job rank: Professor

Position: Mr. Faculty of Data Science

Researcher Information

Area of expertise

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 of management informatics, e-commerce theory

Educational background

1992 Graduated from the Department of Management Engineering, Faculty of Engineering, Osaka Institute of Technology
Graduated from the Department of Management Engineering, Osaka Institute of Technology in 1994
Graduated from Waseda University Graduate School of Information Production Systems, 2005

Acquired degree

Ph.D. (Engineering) [Waseda University]

Affiliated Society

The Japan Society of Intelligence and Information Technology, the Society of Management Engineering, the Society of Biomedical Fuzzy Systems, the Society of Management Information, the Society of OR, and the Society of Electronic Information and Communications

Research Keywords

Text mining, SNS marketing, deep learning, image recognition, rough set, time series data processing

Current research theme

Text mining and natural language processing using data obtained from SNS
Data processing using deep learning
Time series data analysis using rough sets

Main 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 Using 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 excavated coins using deep learning", Journal of Biomedical Fuzzy Systems, Vol.21 No.2, 2019
・"Tourism Information Analysis Using Twitter in the Shimonoseki Region", Journal of Biomedical Fuzzy Systems, Vol.22 No.2, 2020

Classes and Seminars

My seminar

SNS Marketing

WEB is full of data. In particular, SNS plays an important role in corporate marketing. In my seminar, I analyze various data obtained from SNS and other websites using methods such as text mining and deep learning, and conduct research to obtain useful information.