Research Article
Research on Criminal Law Response to Telecom Network Fraud based on Natural Language Processing Algorithm
@INPROCEEDINGS{10.4108/eai.2-6-2023.2334619, author={Yunliang Sun and Dianyong Yu}, title={Research on Criminal Law Response to Telecom Network Fraud based on Natural Language Processing Algorithm}, proceedings={Proceedings of the 2nd International Conference on Information Economy, Data Modeling and Cloud Computing, ICIDC 2023, June 2--4, 2023, Nanchang, China}, publisher={EAI}, proceedings_a={ICIDC}, year={2023}, month={8}, keywords={telecom fraud; machine learning; natural language processing}, doi={10.4108/eai.2-6-2023.2334619} }- Yunliang Sun
Dianyong Yu
Year: 2023
Research on Criminal Law Response to Telecom Network Fraud based on Natural Language Processing Algorithm
ICIDC
EAI
DOI: 10.4108/eai.2-6-2023.2334619
Abstract
Telecom network fraud is one of the serious problems facing the society today. In this digital age, Internet fraud has become a criminal means, and many people cheat through Internet fraud. Therefore, how to deal with telecom network fraud has become one of the important challenges facing the current judicial organs. This paper proposes a criminal law response to telecom network fraud based on natural language processing algorithm. The algorithm includes text classification, keyword extraction, information extraction, entity recognition and other technologies, which can effectively identify and judge the key information and characteristics in telecom network fraud cases, improve the ac-curacy and efficiency of the judgment. To sum up, this paper proposes a study of criminal law response to telecom network fraud based on natural language processing algorithm, which can effectively identify and judge the key information and characteristics of telecom network fraud cases and improve the accuracy and efficiency of judgment.