Affiliations: [a]
Chongqing Medical and Pharmaceutical College, Chongqing, China
| [b]
Chongqing Bozhong Huirui Information Technology Co., Ltd., Chongqing, China
Correspondence:
[*]
Corresponding author. Yingmin Zhang, Chongqing Medical and Pharmaceutical College, Chongqing 401331, China. E-mail: [email protected].
Abstract: The constant development and application of new technologies, such as big data, artificial intelligence and the mobile Internet, have profoundly changed the personal and professional spheres. Despite these advances, finance professionals are still faced with a multitude of routine, repetitive and error-prone tasks. At the same time, they are challenged by the shift to management accounting, resulting in reduced productivity. This paper addresses these issues by introducing a financial statement filing robot developed using Robotic Process Automation (RPA) technology. The application of this robot has been shown to provide superior efficiency and accuracy, reduce the heavy burden of routine tasks, and facilitate a smooth transition to management accounting practices. In addition, this research provides a valuable reference for the application and diffusion of RPA technology in the financial sector. Given the large amount of text data generated by financial processes, this paper proposes an automatic text categorization model. The effectiveness of the model is demonstrated as a response to address the challenges encountered in the consultation and archiving process. This contribution informs the development of text categorization robots tailored to the needs of finance professionals.
Keywords: RPA technology, robot, financial statements, text classification, naive Bayes classifier model
