• Terumasa Taka

• Born in 1993, Ishikawa, Japan

• Ph.D. in Business Administration (University of Tsukuba)
  (M.S. in Information Science (JAIST), M.S. in Marine Science (TUMSAT))

• I specialize in content analysis(text analysis of SNS, product reviews, website content, and more) focusing on fisheries/food industries.

Contact Information

• Email: terumasa.taka[at]gmail.com

• X: @terumapy

Occupation & Affiliation

Affiliations after 2025/04 will be updated.

Affiliations up to 2025/03

• Graduate School of Tsukuba University, Tsuda Kazuhiko Laboratory (Information Retrieval & Text Analysis)
  Engaged in content analysis of media in the fisheries/food sector

• Software Engineer, System Development Department, Foodison Inc.
  Responsible for developing web applications using Ruby on Rails, improving search functions for food e-commerce, developing business systems for the retail division, and analyzing business data  (Foodison Inc. was listed on the Tokyo Stock Exchange Growth Market in December 2022.)

Education

• 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

Research & Publications

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

• Articles about fisheries × IT

  • 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

  • Warehouse Digital Transformation at a New Logistics Hub

  • How Systematizing Box Selection Greatly Improved Packing and Shipping Efficiency

  • How Optimizing the Use of a Delivery Company's System Improved Fish Shipments

etc

• Series on Edo-period Seafood Distribution (Published by the Japan Fisheries Association, etc.)

  • A Popular Leisure Activity in Edo – Learning from Ukiyo-e

  • First Bonito of the Season: A Beloved Dish Since the Edo Period – Learning from Ukiyo-e

  • Stacked Sushi: The Norm in the Edo Period? – Learning from Ukiyo-e

  • How Far Should We Define "Edomae" in the Future? (and many more articles)

Grants

• Habatake! 2024

Awards & Recognition