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
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