基本信息：

徐庶哲，男，博士，讲师。E-mail：syaka1989@163.com

研究方向：

数据挖掘，自然语言处理，保险精算。

科研经历：

发表的主要学术论文：

1.Xu, Shuzhe, Salvador E. Barbosa, and Don Hong. "Bert feature based model for predicting the helpfulness scores of online customers reviews."Advances in Information and Communication: Proceedings of the 2020 Future of Information and Communication Conference (FICC), Volume 2. Springer International Publishing, 2020.

2.Xu, Shuzhe, Chuanlong Zhang, and Don Hong. "BERT-based NLP techniques for classification and severity modeling in basic warranty data study."Insurance: Mathematics and Economics107 (2022): 57-67.

3.Xu, Shuzhe, Vajira Manathunga, and Don Hong. "Framework of BERT-Based NLP Models for Frequency and Severity in Insurance Claims."Variance16.2 (2023).

教学经历：

讲授课程：主讲本科生《保险精算》，《金融计算》等。