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The 35th Frontier Forum for Digital Technology and Finance
Topic： | Empowering Financial Text Research with AI Large Models |
Speaker: | Song Shi, Doctor Mingzhen Xu, Lecturer Chinese Research Data Services Platform (CNRDS) Shanghai Jinghe Information and Technology Company Limited |
Host： | Xianming Sun, Professor School of Finance, Zhongnan University of Economics and Law Innovation and Talent Base for Digital Technology and Finance |
Time: | 19:00-20:30, November, Wednesday 6, 2024 |
Location: | South 313 Conference Room , Wenquan Building, ZUEL |
Abstract：
The lecture focuses on how AI large models empower financial text research and the application of the CNRDS financial data platform in topics such as innovative technology, digital transformation, ESG, and new types of productivity.
Doctor Song Shi, 19:00-20:00
1. NLP and Large Models
2. Introduction to Empirical Research on Chinese Financial Texts
3. CNRDS - Modules Related to Financial Texts
4. iText Database and Its Application Scenarios
Lecturer Xu Mingzhen, 20:05-20:30
5. Introduction to the CNRDS Database Subscribed by Your Institution
6. Data Recommendations for Popular Topics Such as Technological Innovation, New Types of Productivity, Green Development, and Digital Economy
Speaker Introduction：
Song Shi, Ph.D.; Technical Director of the CNRDS Platform. With a long-term focus on research in artificial intelligence, machine learning, and credit risk, he has led his team in completing the development and design of multiple text-related modules within CNRDS. He has also spearheaded the design and development of the AITEXT intelligent text analysis system. He has applied for dozens of patents and software copyrights, achieving breakthroughs in numerous significant academic technologies, such as TB-scale sentiment recognition technology for financial big data news, deep learning, and zero-code vectorization.
Mingzhen Xu, CNRDS Lecturer. With three years of experience in financial data work, she has been responsible for over 30 data usage training sessions at universities such as Fudan University, Nankai University, and Shanghai University of International Business and Economics. She excels at analyzing trending data and empirical research, and is adept at answering various data usage questions from teachers and students.