Minoru Yoshida
Papers
4
Total Citations
53
H-Index
4
About
Minoru Yoshida is a researcher whose work bridges the fields of computational biology and affective computing, with a particular focus on emotion recognition in human-machine interaction. His most cited paper, "A novel yeast cell-based screen identifies flavone as a tankyrase inhibitor" (2010, 40 citations), demonstrates his early contributions to drug discovery, highlighting a versatile research portfolio. However, his primary impact lies in advancing emotion analysis for intelligent robotics and dialogue systems. Yoshida has developed methods for sentence emotion classification using word lexicons and emoticon emotions (2018, 5 citations), and has pioneered deep neural network approaches for emotion analysis and dialogue breakdown detection in chat systems (2022, 4 citations). His work addresses the critical challenge of predicting emotional state changes in conversational agents, proposing models that track how a persona's emotions evolve based on interlocutor utterances (2014, 4 citations). By tackling the complex task of enabling robots to understand and predict human emotions in real-time dialogue, Yoshida's research contributes to more natural and empathetic human-robot interaction, making him a notable figure in the intersection of affective computing and dialogue systems.
Research Focus
Key Achievements
Top Papers
- 1A novel yeast cell-based screen identifies flavone as a tankyrase inhibitor40 citations · 2010
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