Song Shi, Mingzhen Xu:Empowering Financial Text Research with AI Large Models
发布时间:2024-11-05 14:56:00 浏览次数:33

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

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Song Shi, PhD; Technical Director of the CNRDS Platform. He has long been engaged in research on artificial intelligence, machine learning, and credit risk. Leading his team, he has completed the development and design of multiple text-related modules on CNRDS and主导 (should be corrected to "led") the design and development of the AITEXT intelligent text analysis system. He has applied for dozens of patents and software copyrights, and has overcome many groundbreaking technologies in the academic field, such as sentiment recognition technology for terabyte-scale financial big data news, deep learning, and zero-code vectorization.


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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.