Application Research of RPA Technology in the Construction of Financial Robot Business Automation Processing Platform
- DOI
- 10.2991/978-94-6463-490-7_37How to use a DOI?
- Keywords
- RPA technology; financial robot; classification accuracy; business automation
- Abstract
There are still many inefficient manual processing tasks in the financial field, so it is crucial to adopt financial robots based on RPA technology. In order to automatically obtain the financial fields of web pages and intelligent classified financial data, the financial data automatic capture robot and the financial classification robot with TF-IDF algorithm are designed, and the automatic processing platform with these two robots as the core is built. The experimental results show that the autocrawler robot can accurately generate XML files with an accuracy of more than 90%. The TF-IDF algorithm also performed well in classification accuracy, recall and F1 values, at 71%, 85% and 92%, respectively. These two kinds of financial machines can effectively realize business automation processing and improve the work efficiency of financial personnel.
- Copyright
- © 2024 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Yaru Qi PY - 2024 DA - 2024/08/31 TI - Application Research of RPA Technology in the Construction of Financial Robot Business Automation Processing Platform BT - Proceedings of the 2024 3rd International Conference on Artificial Intelligence, Internet and Digital Economy (ICAID 2024) PB - Atlantis Press SP - 340 EP - 345 SN - 2589-4919 UR - https://doi.org/10.2991/978-94-6463-490-7_37 DO - 10.2991/978-94-6463-490-7_37 ID - Qi2024 ER -