Research and Analysis of Potential Correlation of Telecommunications Fraud Data Based on Big Five Personalities

Author:

Gao Jun1,Ma Chuang2,Hu Jinhao2

Affiliation:

1. Nanan District Branch of Chongqing Public Security Bureau

2. Chongqing University of Posts and Telecommunications

Abstract

Abstract In recent years, telecommunications fraud cases show a high incidence, more and more scholars have studied how to stop telecommunications fraud cases from the root cause. According to psychological knowledge, we can know that personality traits can affect a person's social behavior. Therefore, this paper proposes a personality trait recognition model based on the Big Five personality theory combining Bert and SVM to study how to block the occurrence of telecommunications fraud cases from the root. Compared with the previous model, the average accuracy of the recognition of personality traits was improved by 0.3%, reaching 61.2%. At the same time, combined with the telecommunications fraud data in a certain place, it is analyzed that in telecommunications fraud, there is a correlation between the probability of being defrauded, the means of being defrauded, the location where the fraud occurs and personality characteristics. Our research results may provide reference for the government and relevant departments to manage telecommunications fraud.

Publisher

Research Square Platform LLC

Reference26 articles.

1. Yunjian-2020" Campaign to crack down on the loan type telecom network fraud crime cluster [J];The Ministry of Public Security deploys the "

2. Research on Several Issues of "Broken Card" Action Cases [J];Yuqiu Ye;Chinese Public Prosecutors

3. Telecom network fraud crime shows a high incidence situation, experts call for highlighting the source governance;Hou Jianbin;Decision Exploration (PART,2021

4. Personality-based refinement for sentiment classification in microblog;Junjie Lin Wenji;Knowledge-Based Systems,2017

5. A sentiment-aware deep learning approach for personality detection from text;Zhancheng Ren Qiang;Information Processing,2021

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3