Abstract

Fraud is a common crime and its constituent elements are extremely complex. In recent years, telecommunication fraud and Internet fraud are particularly frequent, and the government has taken many measures to enhance the anti-fraud awareness of the general public. So, the study of the characteristics of fraud is of great significance. This paper studied the problem of key word extraction using random forest and XGboost model. The data are selected from the judgment documents about fraud crimes in China Judgments Online from 20l8 to 202l. The two models well extract the keywords that can reflect the characteristics of fraud crimes and certain characteristics of fraud crimes are analyzed by keywords to change over time.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.