Profile
Profile
Terumasa Taka
Born in 1993, Ishikawa, Japan
Ph.D. in Business Administration (University of Tsukuba)
I'm engaged in business science using content analysis approaches
Email: terumasa.taka[at]gmail.com
X: @terumapy
University of Tsukuba, Research Group on Business informatics on social science, specializing in content analysis
NTT EAST, data analyst, responsible for business data analysis targeting small and micro enterprises
Affiliations up to 2025/03
Graduate School of Tsukuba University, Tsuda Kazuhiko Laboratory (Information Retrieval & Text Analysis)
Engaged in content analysis
Software Engineer, System Development Department, Foodison Inc.
Engaged in web application development using Ruby on Rails, development of commerce platforms primarily targeting small food and beverage businesses, business system development for retail chains, and analysis of business data (Foodison Inc. was listed on the Tokyo Stock Exchange Growth Market in December 2022.)
March 2025 Ph.D. in Business Administration, Graduate School of Tsukuba University (Selected for Early Completion Program, completed in 1 year)
A Study on Business Value and Consumer Evaluation in Seafood E-commerce
December 2023: Master of Science in Information Science, Japan Advanced Institute of Science and Technology (JAIST)
Research on the automatic acquisition of sentiment lexicon focusing on the relationship between methodology and target domain
September 2021: Master of Marine Science, Tokyo University of Marine Science and Technology (Graduate School of Safety Management in Food Distribution)
Extracting information from online posts about seafood sales services using a topic model
March 2017: Bachelor of Agriculture, The University of Tokyo
Peer-Reviewed Academic Papers
Taka, T., & Tsuda, K. (2024). Trends in consumer evaluations of tuna: Text mining of online reviews. Procedia Computer Science, 246, 706-713.
Taka, T. (2022). Content Analysis of Seafood E-commerce Sites Using a Text Mining Approach: A Case Study of Japan. Journal of International Food & Agribusiness Marketing, vol.36. 1-12.
Taka, T., & Hamada-Sato, N. (2022). Extracting information from online posts about seafood sales services using a topic model. nippon suisan gakkaishi vol. 88(2). 71-79.
Kuroki, M., Miller, M. J., Feunteun, E., Sasal, P., Pikering, T., Han, Y. S., ... T.Taka, ..., & Tsukamoto, K. (2020). Distribution of anguillid leptocephali and possible spawning areas in the South Pacific Ocean. Progress in oceanography, 180, 102234.
Lectures & Presentations
Fisheries Product Traceability Theory – The Behind-the-Scenes of Seafood E-Commerce: How Information Reaches Users
Corporate Training at Foodison Inc. Instructor for Data Analysis Workshop
Other Contributions
Digital Transformation (DX) in e-commerce for small and middle food businesses
Structuring Fish Information Using a Morphological Analysis Engine
Ensuring Food Safety and Service Reliability with Automated Product Commenting Features
Before Introducing AI in Fisheries: Building an IT Infrastructure for Digital Transformation
Utilizing a Demand Forecasting System in the Fisheries Distribution Industry
How Systematizing Box Selection Greatly Improved Packing and Shipping Efficiency
How Optimizing the Use of a Delivery Company's System Improved Fish Shipments
etc
Habatake! 2024
Dean’s Award, Graduate School of Business Sciences, Humanities and Social Sciences, University of Tsukuba (2025)
Think Big Award (2024), Foodison Inc.
For contributions to improving search functions for food e-commerce and technical public relations.
Company-wide MVP (2021), Foodison Inc.
Recognized for scratch development of a business system for the retail division using Ruby on Rails and for data-driven improvements through review and POS data analysis.