This lunchtime lecture series blends innovation, expertise, and a relaxed atmosphere, offering an exploration of the latest applications and future advancements of artificial intelligence in digital medicine. While enjoying a delicious lunch, participants will gain cutting-edge insights into AI in medicine and engage in in-depth discussions with experts.
Speakers:
- Lung-Hao Lee (Associate Professor, Institute of Artificial Intelligence Innovation, National Yang Ming Chiao Tung University)
Dimensional sentiment analysis is a method that represents emotions using multiple continuous-valued dimensions. A common approach is to project the input text onto a Valence–Arousal (VA) two-dimensional space through natural language processing techniques to indicate its underlying emotional content. Compared with traditional categorical sentiment analysis (positive/neutral/negative), dimensional sentiment analysis provides more fine-grained emotional information.
We will introduce how to construct Chinese dimensional sentiment analysis resources, develop AI deep-learning techniques to predict VA values, and apply this technology to intelligent psychological assessment to provide real-time emotional analysis information.
We welcome all colleagues interested in AI and medical innovation to sign up and explore the limitless possibilities of smart medicine together!
【Lecture Information】
- Topic: Chinese Dimensional Sentiment Analysis Techniques and its Applications
- Date & Time: December 10, 2025 (Wed.) | 12:10-13:20
- Venue: Room IR630, 6th Floor, International Academic Research Building, Kaohsiung Medical University
- Registration Deadline: Until December 08, 2025 (Mon.) at 12:00 | Online registration required
- Registration Link: https://forms.gle/vGND5npwUHcgPisEA
- Participation Mode: Hybrid (In-person: 60 participants; Online: Unlimited)
- Organizers: Biomedical Artificial Intelligence Academy of KMU, Medical AI Innovation and Application Center of KMUH, Teaching and Learning Development and Resource Center KMU
- Additional Info: Lunch will be provided for in-person attendees.
※ This lecture is eligible for KMU faculty growth credits. Participants must complete both sign-in/out and the satisfaction survey to receive credit points.
We look forward to your participation!
