Scholar
Keito Inoshita
Google Scholar ID: xG4rs0kAAAAJ
Faculty of Data Science, Shiga University
Citations & Impact
Citations
15
H-index
2
i10-index
0
Publications
20
Co-authors
0
Contact
No contact links provided.
Publications
Resume (English only)
Academic Achievements
- Published multiple papers covering areas such as deep learning, sentiment analysis, and large language models. For example:
- - Reproducing Developmental Features and Preserving Semantics in Child-Style Text Generation Using LLM
- - GNN-Enhanced Multimodal Fusion with Contrastive Learning for Smart Health Oriented High Performance Recommendation System
- - Enhancing Sentiment Analysis Accuracy and Evaluating Task Affinity Using Large Language Models
- etc.
Research Experience
- April 2025 - Present: Japan Science and Technology Agency (JST) Next Generation Researcher Challenge Program (SPRING) Kwansei Gakuin University SPRING Scholarship Research Student
- April 2025 - Present: Japan Safety Society Research Center, Researcher
- April 2025 - Present: Shiga University, Data Science & AI Innovation Research Promotion Center, Visiting Researcher
Education
- April 2025 - Present: Kwansei Gakuin University, Graduate School of Business Administration, Doctoral Program
- April 2023 - March 2025: Shiga University, Graduate School of Data Science, Master's Program
- April 2020 - March 2023: Sapporo University, Faculty of Regional Co-Creation, Management Major (Withdrawn after the third year due to skipping a grade)
- Degree: Master (Data Science) (March 2025, Shiga University)
Background
- Research interests include deep learning, bias detection, data mining, sentiment analysis, machine learning, large language models, and natural language processing.
Miscellany
- Personal interests and other activities are not detailed.
Co-authors