Wang Sheng

Postdoctoral Researcher

Email：wangsheng@@gdiist.cn

Personal Profile:

Received a Ph.D. in Computer Science from the University of Bristol, UK, in 2024. Joined the Joint Laboratory of Financial and Business Intelligence at the Guangdong Institute of Intelligent Science and Technology in March 2025. Her research focuses on financial technology and natural language processing.

Research Interests:
Natural Language Processing, Sentiment Analysis, Financial Technology, Large Language Models

paper：

1. Wang, S., Lightman, S., & Cristianini, N. (2021). Effect of the lockdown on diurnal patterns of emotion expression in Twitter. Chronobiology International, 38(11), 1591-1610.

2. Li, B., Yen, J., & *Wang, S. (2024). Uncovering Financial Statement Fraud: A Machine Learning Approach with Key Financial Indicators and Real-World Applications. IEEE Access.

3. Wang, S., Cristianini, N., & Hood, B. M. (2024, May). Stylometric Comparison between ChatGPT and Human Essays. In Workshop Proceedings of the 18th International AAAI Conference on Web and Social Media.

4. Wang, S., Lightman, S., & Cristianini, N. (2024). Diurnal patterns in Twitter sentiment in Italy and United Kingdom are correlated. Frontiers in Psychology, 14, 1276285.

5. Chen, X., Wang, S., Yang, X., *Wang, S., & *Yen, J. (2025). How to Use Social Media for Bitcoin Price Prediction: A Multi-Source Data Fusion Method Based on CSTNet. In Proceedings of 2025 International Conference on Intelligent Computing.